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  • MPI Ethno. Forsch.  (1.182)
  • HU Berlin
  • 2020-2024  (1.182)
  • Cham : Imprint: Springer  (532)
  • Singapore : Imprint: Springer  (445)
  • Washington, D.C : The World Bank  (198)
  • Basel : MDPI - Multidisciplinary Digital Publishing Institute  (7)
  • Artificial intelligence.  (954)
  • COVID-19
Datenlieferant
Materialart
Sprache
Erscheinungszeitraum
  • 2020-2024  (1.182)
Jahr
Verfasser
Verlag/Herausgeber
Schlagwörter
Fachgebiete(RVK)
  • 1
    Online-Ressource
    Online-Ressource
    Computational Intelligence in Internet of Agricultural Things (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031674501
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VI, 466 p. 151 illus., 134 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1170
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Agriculture.
    Kurzfassung: -- 1: Computational Intelligence and Internet of Things in the Agriculture Sector: An Introduction. -- 2: Role of Big Data Analytics in Intelligent Agriculture. -- 3: Machine learning-based remote monitoring and predictive analytics system for apple harvest storage: A statistical model based approach. -- 4: Revolutionizing Agriculture: Integrating IoT Cloud, And Machine Learning for Smart Farm Monitoring and Precision Agriculture. -- 5: Impact of Advanced Sensing Technologies in Agriculture with Soil, Crop, Climate and Farmland-based approaches using Internet of Things. -- 6: An analytical approach and concept mapping of agricultural issues using deep learning techniques. -- 7: Explainable AI for next generation Agriculture - Current Scenario and Future Prospects. -- 8: Barriers to implementing computational intelligence-based agriculture system. -- 9: Agri-Chain: A Blockchain-Empowered Smart Solution for Agricultural Industry. -- 10: Exploiting Internet of Things and AI-Enabled for Real-Time Decision Support in Precision Farming Practices. -- 11: Advancing Plant Disease Detection with Hybrid Models: Vision Transformer and CNN-Based Approaches. -- 12: Optimizing Agricultural Risk Management with Hybrid Block-chain and Fog Computing Architectures for Secure and Efficient Data Handling. -- 13: Innovating with Quantum Computing Approaches in Block-chain for Enhanced Security and Data Privacy in Agricultural IoT Systems. -- 14: Implementing Fog Computing in Precision Agriculture for Real-time Soil Health Monitoring and Data Management. -- 15: Empowering Farmers: An AI-Based Solution for Agricultural Challenges. -- 16: Artificial Intelligence in Agriculture: Potential Applications and Future Aspects. -- 17: Case study on Smart irrigation using Internet of Things and XAI Techniques.
    Kurzfassung: This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with current applications, obstacles, and potential challenges and solutions for agricultural industries. These technologies have the potential to curtail resource wastage and contribute to addressing the challenges of feeding the expanding global population. This book acts as a resource to augment the reader's comprehension of the role of emerging IT technologies in the agricultural sector. This book also covers key technologies and techniques such as AI, ML, and IoT in the development of smart agriculture and provides information on various types of smart farming technology, platforms, and machine learning algorithms with case studies based on real-time problems.
    DOI: 10.1007/978-3-031-67450-1
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  • 2
    Online-Ressource
    Online-Ressource
    Computational Intelligence and Mathematics for Tackling Complex Problems 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031469794
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 147 p. 33 illus., 22 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1127
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Mathematics
    Kurzfassung: Additional notes on heterogeneous concept-forming operators -- On the measure of inconsistency of fuzzy relation equations -- Efficiency of fuzzy rough set decision algorithms -- Use of Fuzzy Time Series to generate linguistic descriptions of noise pollution -- A Novel Fingerprint Identification Fuzzy System Using a Center-Distance Weighted Local Binary Pattern -- Global Sensitivity Analysis and Low Magnitude Pruning for Convolutional Neural Networks Reduction in ImageNet based on Transfer Learning State of the Art Models -- Generalized linearity of aggregation and related functions -- A preliminary study between semicopulas and other algebraic structures -- Closure theory of semirings-valued fuzzy sets.
    Kurzfassung: This book is focused on connecting two interesting research areas, mathematics and computational intelligence, by means of appealing contributions devoted to give solutions to different challenges of the current technological age. It continues the collection of articles dealing with the important and efficient combination of these both areas, with a stress of fuzzy systems and fuzzy logic. It also includes relevant papers on the development and application of mathematics, artificial intelligence, and automatic reasoning tools to Digital Forensics, which have been developed within the framework of the COST Action DigForASP-CA17124 (digforasp.uca.es).
    DOI: 10.1007/978-3-031-46979-4
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  • 3
    Online-Ressource
    Online-Ressource
    Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978625
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 571 p. 205 illus., 169 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 818
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Kurzfassung: Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change parameters in Jammu and Kashmir -- Brain Tumor Classification Using Deep Learning Techniques -- Machine learning Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review -- Impact of Techno Stress on Employee Retention and Employee Turnover -- Single image dehazing using DCP with varying scattering constant -- Detecting IoT malware using federated learning -- A Deep learning approach for BGP security Improvement -- Wireless Sensor Network Protocols in Underwater Communication -- A Genetic Algorithm Approach for Portfolio Optimization -- Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices -- Towards Decentralized Fog Computing: A comprehensive review of Models, Architectures, and Services -- Analysis of various MAC protocol 802.11 AX -- Monkeypox Disease Classification Using HOG-SVM Method -- A Deep Learning Model for Automatic Recognition of Facial Expressions using Haar Cascade Images -- Sensing Performance Analysis using Choatic Signal based SCMA Codebook For Secure Cognitive Communication System in 5G -- Identification of severity level for diabetic retinopathy detection using neural networks -- Metaheuristic optimized BiLSTM univariate time-series forecasting of gold prices -- Improvised Neural Machine Translation Model for Hinglish to English -- Recording of Class Attendance using DL Based Face Recognition Method -- Machine Learning Enabled Hairstyle Recommender System using Multilayer Perceptron -- Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction and Risk Prediction -- Responsible Artificial Intelligence for Music Recommendation -- A robot mapping technique for indoor environments -- A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles -- Predicting Brain Tumor Survival using MRI Images and Machine Learning Techniques -- Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Analysis -- A Learning-Based Approach For Wafer Defect Detection In Production Quality Control -- Setting Importance of Features through Means and Majority of Outcomes of Machine Learning Algorithms: An Empirical Analysis -- A Study of Simulated Working of A* and RRT* for Cargo Ship in ASVs -- ESFMS: Design of an Ensemble Sentiment analysis model for Feedback evaluation via Multimodal feature Selection process -- Towards Transfer Learning based Human Anomaly Detection in Videos -- Speech Signal Analysis Using Hybrid Feature Extraction Technique for Parkinson’s Disease Prediction -- Dataset Construction and Evaluation for Aspect-Opinion Extraction in Bangla Fine-grained Sentiment Analysis -- Improving Speaker Gender Detection by Combining Pitch and SDC -- Sentiment Analysis of Covid-19 Lockdown in India -- Applications of Smart Agriculture and an Automated Irrigation System Based on the Internet of Things -- Sensitivity of stock pricing to the optimistic and pessimistic sentiment of social media: A shreds of evidence from Nifty Indices -- Revolutionizing Cardiac Care: A Comprehensive Review of ECG-based Arrhythmia Prediction Techniques -- Yoga Posture Estimation and Correction using Mediapipe & Deep Learning Models -- Random Modulus Decomposition for Color Images Optical Asymmetric Cryptosystem Using Gyrator Domain -- A Single Line 8T SRAM Bit Cell with Robust Read, Hold Stability and Low Power -- Improving Chronic Kidney Disease Prediction using ANN with Normalization.
    Kurzfassung: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7862-5
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  • 4
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    Online-Ressource
    Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563225
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 306 p. 99 illus., 73 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Engineering Cyber-Physical Systems and Critical Infrastructures 10
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines.
    DOI: 10.1007/978-3-031-56322-5
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  • 5
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    Online-Ressource
    Advances in Real-Time Intelligent Systems : Real-Time Intelligent Systems 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558481
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VIII, 362 p. 157 illus., 134 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 950
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: The current information society is transitioning to an intelligent society where real-world and real-data applications have a profound influence. Real-time computing has an enormous impact on the future information society. Unimaginable applications have been emerging in real-time applications in the last two years. Logical reasoning and inference-making activities by machines have become a reality. Complex and heterogeneous data are being processed and infused into machine intelligence, bringing machine intelligence equal to human intelligence. Real-time data and real-time intelligence are the crux of the current research. This book of 41 papers in real-time intelligent systems addresses various issues ranging from real-time algorithms to various applications in real-time intelligence. The contributions of this book will mark a significant impact in the near-future research in real-time intelligence.
    DOI: 10.1007/978-3-031-55848-1
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  • 6
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume IV (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710911
    Sprache: Englisch
    Seiten: 1 Online-Ressource(IX, 517 p. 282 illus., 232 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Electrical Engineering 1174
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Kurzfassung: Chapter 1. Cooperative Transmit Resource Scheduling Algorithm for Asynchronous Tracking in Heterogeneous Multiple Distributed Radar Networks with Imperfect Detection -- Chapter 2. Joint Detection Threshold and Dwell Time Optimization for Target Tracking in Radar Networks -- Chapter 3. An Accurate and Robust Effectiveness Evaluation Method for an Unmanned Swarm in Performing a Specific Task -- Chapter 4. Multi-UAV collaborative search strategy based on improved genetic algorithm -- Chapter 5. Joint Beamforming and Power Allocation in a MIMO Radar Network with Per-Antenna Power Control -- Chapter 6. Intelligent Trajectory Planning Algorithm for Unmanned Aerial Vehicles Based on Track Deception against Radar Networks -- Chapter 7. Maneuvering Multi-Target Tracking based on DLSTM and Dynamic Association Gate -- Chapter 8. A DNN-Based GLMB Algorithm for Multi-Sensor Multi-Target Tracking with Dense Group Clutter -- Chapter 9. Efficient Multiple Extended Target Tracking Based on MinimumSpanning Tree -- Chapter 10. Improved Adaptive Sliding Mode Cooperative Guidance Law with Multi-constraints, etc.
    Kurzfassung: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1091-1
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  • 7
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume V (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710959
    Sprache: Englisch
    Seiten: 1 Online-Ressource(IX, 511 p. 329 illus., 289 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Electrical Engineering 1175
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Kurzfassung: Chapter 1. An AUV Docking Approach based on Image-based Visual-Servoing and Modified Super-Twisting Sliding Mode Control -- Chapter 2. Time and Energy Optimal Path Planning of USV under Time-Varying Ocean Currents -- Chapter 3. Comparative study on wave disturbance prediction methods for the modeling of maneuvering motion -- Chapter 4. Simulation Technology of Unmanned Surface Vehicle Cluster Based on Digital Modeling -- Chapter 5. An improved YOLOv5 approach for multi-object detection of unmanned surface vehicles -- Chapter 6. Improvement of bacterial foraging algorithm for heading control of Unmanned Surface Vessel -- Chapter 7. Research on performance boundary test scenario clustering generation method for ship autonomous collision avoidance algorithm -- Chapter 8. Design of Course Controller for Unmanned Surface Vehicles Considering Complex Environment Interference -- Chapter 9. Variable structure water-air amphibious trans-media vehicle concept design and characteristic analysis -- Chapter 10. Underwater small target detection based on improved YOLOv7, etc.
    Kurzfassung: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1095-9
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  • 8
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    Autonomous Vehicles and Civil Liability in a Global Perspective : Liability Law Study across the World in relation to SAE J3016 Standard for Driving Automation (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031419928
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 548 p. 24 illus., 22 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Data Science, Machine Intelligence, and Law 3
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    Schlagwort(e): Information technology ; Mass media ; Artificial intelligence. ; Robotics.
    Kurzfassung: Hans Steege, Ilaria Amelia Caggiano, Maria Cristina Gaeta and Benjamin von Bodungen, Introduction -- Christian Pek and Sanne van Waveren, Autonomous Vehicles – A Technical Introduction -- Part I – Africa: Jessica Anne Steele and Rakhee Dullabh, South Africa: Motor vehicle collisions liability regime applied to automated vehicles -- Part II – America: Mark A. Geistfeld, Civil Liability for Motor Vehicle Crashes in the United States: From Conventional Vehicles to Autonomous Vehicles -- Juan F. Córdoba-Marentes and Obdulio Velásquez-Posada, Self-driving cars regulation in Colombia -- Part III – Asia: Mingyan Nie and Yuan Shen, Autonomous Driving in China -- Antonios Karaiskos, Autonomous Driving and Civil Liability in Japan -- Thomas Hufnagel and Jaryl Lim Zhi Wei, En-route to a driverless city-state: Examining the current legal landscape for autonomous vehicles in Singapore -- Jeung-Jun Park and Jun-Kyu Ahn, Civil Liability Regime on Autonomous-Driving Vehicle Accident in Korea -- Part IV – Australia: Angelika Yates and Samuel Siskovic, Steering the transition to automated vehicles in Australia - Current status and regulatory changes ahead -- Part V – Europe: Orian Dheu, Jan De Bruyne, Peggy Valcke, Ilse Samoy, Autonomous Vehicles and Civil Liability in Belgium -- Benjamin von Bodungen and Hans Steege, Liability for automated and autonomous driving in Germany -- Lionel Andreu, The law applicable to autonomous cars driving in France -- Angela Fernández Arévalo and Juan Paplo Murga Ferández, Civil liability for damage caused by autonomous vehicles under Spanish law -- Maria Cristina Gaeta, Italian civil liability applicable to self-driving cars -- Eric Tjong Tjin Tai, Civil liability for self-driving cars in Dutch law -- Jörg Zehetner, Merve Cetin and Angelika Holzer, The Civil Liability for Self-driving Cars in Austria -- Vasile Luha, Dr. Bogdan Florea and Silvia Maican, Liability in the case of autonomous cars in Romania -- Anton Olsson and Karl Montelius, Autonomous vehicle andliability in Sweden -- Part VI – The United Kingdom: Felix Boon, Automated vehicle liability in Great Britain.
    Kurzfassung: In the automotive sector, digitalisation, connectivity and automation are rapidly expanding. In tomorrow’s vehicles, human beings will merely be passengers – which raises a host of complex legal issues regarding accidents involving self-driving vehicles. This book is the first to offer a comprehensive, global overview of civil liability regimes for all levels of vehicle automation in jurisdictions that represent some of the most important markets for the automotive industry. After a technical introduction to how self-driving cars work, the individual chapters analyse the liability for driving automation at SAE J3016 levels 0 through 5 from a country-specific perspective. All chapters were written by experts in the field and follow a uniform legal structure. Hence, the book offers an essential comparative analysis of similarities and differences in the jurisdictions examined, while also providing suggestions for future legislative changes at the national and international level. The book is not only relevant for legal scholars and practitioners but will also be of particular interest to anyone involved in the design, manufacture, distribution and operation of self-driving vehicles.
    DOI: 10.1007/978-3-031-41992-8
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  • 9
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    Data Science and Emerging Technologies : Proceedings of DaSET 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819702930
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 579 p. 189 illus., 166 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 191
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Big data. ; Internet of things. ; Computer vision.
    Kurzfassung: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
    DOI: 10.1007/978-981-97-0293-0
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  • 10
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    YSEC Yearbook of Socio-Economic Constitutions 2023 : Law and the Governance of Artificial Intelligence (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558320
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VI, 359 p.)
    Ausgabe: 1st ed. 2024.
    Serie: YSEC Yearbook of Socio-Economic Constitutions 2023
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    Schlagwort(e): Information technology ; Mass media ; Artificial intelligence.
    Kurzfassung: Introduction by Eduardo Gil Pedro and Andreas Moberg -- Part I: AI Regulation in the EU – The Future Interplay between Frameworks by Béatrice Schutte -- The AI Act’s Research Exemption: A Mechanism for Regulatory Arbitrage? by Liane Colonna -- Part II: Governance of AI or Governance by AI: Limits, New Threats, and Unnegotiable Principles by Migle Laukyte -- A Horizontal Meta-effect? Theorizing Human Rights in the AI Act and the Corporate Sustainability Due Diligence Directive by Mika Viljanen -- Everybody Wants to Rule the World. The Relevance of the Rule of Law for Private Law, in the Context of Algorithmic Profiling of Online Users by Silvia Carretta -- AI and Automation by Claes Granmar -- Part III: Algorithmic Hiring Systems: Implications and Recommendations for Organisations and Policymakers by Jason D. Schloetzer and Kyoko Yoshinaga -- AI Gender Biases in Women’s Healthcare: Perspectives from the United Kingdom and the European Legal Space by Pin Lean Lau -- The Role of AI in Mental Health Applications and Liability by Petra Müllerová -- Trustworthy Artificial Intelligence and Public Procurement by Isabel Gallego Córcoles -- AI and Sensitive Personal Data under the Law Enforcement Directive – Between Operational Efficiency and Legal Necessity by Markus Naarttijärvi.
    Kurzfassung: Artificial intelligence (AI) has the potential to radically transform our society. It may lead to a massive increase in the capabilities of humankind and allow us to address some of our most intractable challenges. It may also entail profound disruption to structures and processes that have sustained our society over centuries. These developments present a unique challenge to the socio-economic constitutional arrangements which govern our world at national, regional and international level. The deployment of increasingly powerful AI systems, able to function with increasing degree of autonomy, has led to concerns over loss of human control of important societal processes, over the disruption of existing economic, social and legal relationships, and over the empowerment of some societal actors at the expense of others, together with the entrenchment of situations of domination or discrimination. It has also made increasingly clear how tremendous the potential benefits, that these technologies may bring, are to those who successfully develop and deploy them. There is therefore great pressure on governments, international institutions, public authorities, civil society organisations, industry bodies and individual firms to introduce or adapt mechanisms and structures that will avoid the potentially negative outcomes of AI and achieve the positive ones. These mechanisms and structures, which have been given the umbrella term ‘AI governance’, cover a wide range of approaches, from individual firms introducing ethical principles which they volunteer to abide by, to the European Union legislating an AI Act, which will prohibit certain types of AI applications and impose binding obligations on AI developers and deployers. The fast pace of innovation in the development of AI technologies is mirrored by the fast pace of development of the emerging field of AI governance, where traditional legislation by public bodies is complemented with more innovative approaches, such ashybrid and adaptive governance, ethical alignment, governance by design and the creation of regulatory sandboxes. The chapter “AI and Sensitive Personal Data Under the Law Enforcement Directive: Between Operational Efficiency and Legal Necessity” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. .
    DOI: 10.1007/978-3-031-55832-0
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  • 11
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    Data-Centric Business and Applications : Advancements in Information and Knowledge Management, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031591310
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 441 p. 106 illus., 92 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 208
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    Schlagwort(e): Engineering ; Computational intelligence. ; Business information services. ; Artificial intelligence.
    Kurzfassung: Hydrogen Project Execution Plan for domestic use -- Exploring Different Approaches to Epidemic Processes Simulation: Compartmental, Machine Learning, and Agent-Based Models -- Enhancing a learning management system's effectiveness through NEP-compliant curriculum changes and their effects at HEIs -- Analysis of Modern Approaches to the Transformation of Social Systems in Postmodern Society -- Reputation of a non-profit organisation - A quantitative-empirical study embedded in risk management on police reputation and reputation loss -- The role of information and communication technology in the social and healthcare services co-production -- Trade Unions of Eastern Galicia During The Socio-Political Processes of the 19th – Early 20th Centuries -- Image Processing Application Development: A New Approach and its Economic Profitability -- Sustainable Supply Chain of both Organic and Non-Organic Food Under Uncertainty -- Time series forecasting for Personal Protective Equipment during COVID-19 pandemic: a case study of Quebec -- Cultural Heritage Management: A Review of the Literature -- From Destruction to Digitization: Safeguarding Ukraine's Cultural and Archival Heritage in Wartime -- Machine Learning for Predicting Stroke Occurrences Using Imbalanced Data -- State Aid – Economic Instrument to Support SME -- Identification of Determinants of Using Crowdfunding as a Source of Financing the Development of Social Enterprises - The Perspective of Polish Social Entrepreneurs -- The Slovak organic food market: development of organic agricultural area, organic agricultural production and sales of packaged organic food -- A survey of Crowdsourcing in Last-Mile Delivery in the optimization literature -- Influence of the State on Cross-Border Trade Management in Commercial Global Digitalization -- Forecast modelling of socio-economic development under social and economic transformations.
    Kurzfassung: This book stands out by exploring the significance of data in various aspects of business, including operations, decision-making, and application development, in a comprehensive and accessible manner. It delves into advanced topics such as data management, analytics, knowledge discovery, artificial intelligence, data-centric business models, emerging technologies, and ethical implications, providing a unique perspective. The book is appropriate for academics, professionals, and researchers with intermediate to advanced data management skills. Data plays a crucial role in today's rapidly evolving digital environment, serving as the foundation for businesses and the key element in driving innovation across diverse industries. This book delves into the latest advancements in data management, their impact on modern corporate settings, and advanced information and knowledge management concepts. The chapters in this book discuss various topics, including incorporating data-driven methods into business models, the difficulties and advantages of emerging technology, and the ethical aspects of making decisions based on data.
    DOI: 10.1007/978-3-031-59131-0
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  • 12
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    Explainable Artificial Intelligence in the Digital Sustainability Administration : Proceedings of the 2nd International Conference on Explainable Artificial Intelligence in the Digital Sustainability Administration (AIRDS 2024) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031637179
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIII, 390 p. 96 illus., 82 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1033
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: -- 1. Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions. -- 2. Applying robotic process automation (RPA) in sustainable audit quality: A literature review survey. -- 3. Advancing sustainable learning by boosting student self-regulated learning and feedback through AI-driven personalized in EFL education. -- 4. Enabling sustainable learning through virtual robotics machine mediation of social interactions between teachers, students, and machines based on sociology lens. -- 5. The role of Artificial Intelligence in improving customer service and retaining human resources: Digital Sustainability as a Mediating variable. -- 6. Modelling Intelligent Agriculture Decision Support Tools to Boost Sustainable Digitalization: Evidence from MCDM Methods. -- 7. The role of AI applications in the advertising and design in social media marketing: A stride in the direction of marketing sustainability. -- 8. Artificial Intelligence and Environmental, Social and Governance: A Bibliometric Analysis Review. -- 9. The Mediating Influence of Energy Reduction on the Relationship Between Green Production and Digital Sustainability: Insights from Iraqi Oil Companies. -- 10. Exploring University Faculty Members ' Sustainable Innovative Behavior of Work with Artificial Intelligence: A Review of the Literature. -- 11. Exploring Customer Engagement Intentions with Interactive Smart Tables of AI for Full-Service Restaurants Sustainability. -- 12. The role of artificial intelligence trading robots in rationalizing cryptocurrency trading decisions by application to Bitcoin currency. -- 13. The effect of detecting earnings management according to artificial intelligence techniques on the sustainable accounting information. -- 14. Financing and Investing in Artificial Intelligence: The Lucrative Benefits in Terms of Sustainable Digitalization. -- 15. Sustaining an agile supply chain by adopting industry technologies (4.0). -- 16. The investment of human capital in digital green economy transition to support artificial intelligence technologies at private hospitals. -- 17. Interpretive structural modeling (ISM) as an artificial intelligence system for improving sustainable performance. -- 18. The Role of Artificial Intelligence in Promoting the Environmental, Social and Governance (ESG) Practices. -- 19. Harnessing Technological Innovation and Artificial Intelligence in Iraqi Commercial Banks to Achieve Sustainability. -- 20. Artificial intelligence and trends using in sustainability audit: A Bibliometric Analysis. -- 21. Using artificial intelligence to predict the financial gearing's capability to achieve financial sustainability. -- 22. Towards digital sustainability: Integrating canonical correlation with artificial neural network. -- 23. Artificial intelligence simulation of ant colony and decision tree in terms sustainability. -- 24. The Role of Artificial intelligence in Improving Sustainable Audit Quality. -- 25. Maximizing the marketing capabilities and digital sustainability of B2B & B2C platforms using artificial intelligence. -- 26. Using LSTM Network based on Logistic Regression Model for Classifying Solar radiation Time Series.
    Kurzfassung: This book explores current research trends in the context of the explainable artificial intelligence’s impact on the digital sustainability trend while delving into case studies on education, tourism, marketing, and finance. These trends are examined through various case studies utilizing distinct analytical methods. The chapters are expected to support scholars and postgraduate students in furthering their research in this field and in recognizing prospective advancements in the applications of artificial intelligence.
    DOI: 10.1007/978-3-031-63717-9
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  • 13
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    Proceedings of the 12th International Conference on Soft Computing for Problem Solving : SocProS 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819732920
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXVII, 924 p. 386 illus., 308 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 995
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Algorithms.
    Kurzfassung: This book provides an insight into 12th International Conference on Soft Computing for Problem Solving (SocProS 2023), organized by The Department of Applied Mathematics and Scientific Computing, Saharanpur Campus of Indian Institute of Technology, Roorkee, India, in conjunction with Continuing Education Center during 11–13 August 2023. This book presents the latest achievements and innovations in the interdisciplinary areas of soft computing, machine learning, and data science. It covers original research papers in the areas of algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and health care, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
    DOI: 10.1007/978-981-97-3292-0
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  • 14
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    Recent Advances in Computational Optimization : Selected Papers from the WCO 2022 – Workshop on Computational Optimization (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031573200
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 315 p. 86 illus., 60 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1158
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Algorithms.
    Kurzfassung: 1. Application of Intuitionistic Fuzzy Logic to Identify Important Functional Performance Indicators in Case of Youth Hockey Players -- 2. Applicability of the CHIRPS Precipitation Product in the Regional Climatology of Southeast Europe -- 3. Mathematical Modeling and Static Characteristics of the Anaerobic Digestion of Organic Wastes with Production of Hydrogen and Methane -- 4. Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads -- 5. Workforce Allocation for Social Engagement Services via Stochastic Optimization -- 6. Application of Methaeuristics for Agricultural System Modelling -- 7. Subcaterpillar Isomorphism: Subtree Isomorphism for Rooted Labeled Caterpillars -- 8. Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the EuroHPC Petascale Supercomputer DISCOVERER -- 9. Software Tool for Optimizing Cycling Route by Defining Cyclist Air Pollution Exposure -- 10. Surrogate Estimators for Complex Bi-Level Energy Management, etc.
    Kurzfassung: The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2022. Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks. This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, agricultural modeling transportation problems, energy management, machine scheduling, air pollution modeling, optimization of fast-food restaurant chain, and solving engineering and financial problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This book demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.
    DOI: 10.1007/978-3-031-57320-0
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  • 15
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    Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563102
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 280 p. 123 illus., 100 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Engineering Cyber-Physical Systems and Critical Infrastructures 9
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines. .
    DOI: 10.1007/978-3-031-56310-2
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  • 16
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    Innovation and Research – Smart Technologies & Systems : Proceedings of the CI3 2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031634345
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 312 p. 173 illus., 151 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1040
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Kurzfassung: This book gathers research papers presented at the 4th edition of the International Research and Innovation Conference—CI3 2023, that took place from August 30 to September 1, 2023, at the facilities of the Instituto Tecnológico Universitario Rumiñahui, located in the city of SangolquÍ, Pichincha, Ecuador.The conference was organized by the Red de Investigación, Innovación y Transferencia de Tecnología—RIT2, made up of the most relevant university institutes in Ecuador, among which are ITCA, BOLIVARIANO, ARGOS, VIDA NUEVA, ESPÍRITU SANTO, SUDAMERICANO, ISMAC, SAN ISIDRO, ARTES GRÁFICAS, ORIENTE, HUMANE, SUCRE, CENTRAL TÉCNICO, POLICÍA NACIONAL and RUMIÑAHUI. Additionally, the event is sponsored by the Secretaría de Educación Superior, Ciencia, Tecnología e Innovación—SENESCYT, Labortorio de Comunicación Visual de la Universidad Estatal de Campinas—Brazil, Universidad Ana G. Méndez—Puerto Rico, Centro de Investigaciones Psicopedagógicas y Sociológicas—Cuba, Instituto Superior de Diseño de la Universidad de La Habana—Cuba, GDEON and the Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia—CEDIA.The main objective of CI3 2023 is to generate a space for dissemination and collaboration, where academia, industry and government can share their ideas, experiences and results of their projects and research. “Research as a pillar of higher education and business improvement” is the motto of the Conference and suggests how research, innovation and academia must coincide with the productive sector to leverage social and economic development. CI3 2023 had 145 papers submitted, of which 52 were accepted for publication and presentation. To guarantee the quality of the publications, the event has a staff of more than 70 experts, from different countries such as Spain, Argentina, Chile, Mexico, Peru, Brazil, Ecuador, among others, who carry out an exhaustive review of each proposal sent. The content of this proceeding is related to the following topics: • Smart Cities • Innovation and Development • Applied Technologies • Economics and Management • ICT for Educations .
    DOI: 10.1007/978-3-031-63434-5
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  • 17
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume I (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819711079
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 668 p. 453 illus., 356 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Electrical Engineering 1170
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Kurzfassung: Chapter 1. Active Disturbance Rejection Control of Carrier-based Aircraft with High Angle of Attack Research Based on Trajectory Optimization -- Chapter 2. Simulation and Performance Test of Large Thrust Ducted Fan -- Chapter 3. A Data-driven Linear Model for Flexible Vehicles Based on Koopman Operator -- Chapter 4. UAV Path Planning Method for Key Target Reconnaissance Mission -- Chapter 5. Study on the Stability of Spring Valve Considering the Inlet Pipeline -- Chapter 6. UAV formation control based on multi-strategy search improved pigeon-inspired optimization -- Chapter 7. Airworthiness Technology: The Key for the Development and Application of Civilian Unmanned Aircraft Systems -- Chapter 8. A Frequency Domain System Identification Toolbox for Aircraft and Rotorcraft -- Chapter 9. Measurement information consensus based distributed estimation of unknown source by using mobile sensor networks -- Chapter 10. Path planning and composite attitude control for a satellite with 2-DOF large-inertia turntable -- Chapter 11. An improved Cubature Kalman Filter-based optoelectronic tracking method -- Chapter 12. Autonomous Landing of a Low-Cost Quadrotor on a Moving Target -- Chapter 13. Reentry trajectory planning based on proximal policy optimization -- Chapter 15. Investigation and Applications of Multi-species Numerical Method Based on NNW-FlowStar, etc.
    Kurzfassung: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1107-9
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  • 18
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    Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990054
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 595 p. 254 illus., 211 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Electrical Engineering 1123
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Signal processing. ; Power electronics. ; Artificial intelligence. ; Computational intelligence.
    Kurzfassung: 1. Finite Element Modeling of Electric Field Distribution in a Defected XLPE Cable Insulation Under Different Magnitudes of Stressing Voltage -- 2. Optimal switching sequence of urban power system based on dynamic thermal rating parameter adjustment -- 3. Improved DC-Link Voltage Control Scheme for Standalone PV Renewable Energy System -- 4. Wind energy distributions for integration with dynamic line rating in grid network reliability assessment -- 5. Control Method of Two-stage Grid-connected PV Inverter System -- 6. Methodological Comparison and Analysis for Six-Switching PMBLDC Motor Control -- 7. Energy efficiency performance optimization and surge prediction of centrifugal gas compressor.
    Kurzfassung: This book presents selected papers from the Proceedings of the International Conference 12th International Conference on Robotics, Vision, Signal Processing, and Power Applications ROVISP 2023, held in Penang, Malaysia, covering topic areas divided into the following tracks: (1) Robotics, Control, Mechatronics, and Automation; (2) Vision, Image and Signal Processing; (3) Telecommunication Systems and Applications; (4) Electronic Design and Applications; (5) Electrical Power, Energy, and Industrial Applications. Its content highlights state-of-the-art technologies adopted by the relevant industries which appeal to researchers and industrial practitioners working in the field.
    DOI: 10.1007/978-981-99-9005-4
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  • 19
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    IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-grids in Smart Cities : Harnessing the Power of IoT to Create Sustainable and Efficient Urban Environments Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031606298
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 512 p. 411 illus., 349 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 984
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    Schlagwort(e): Computational intelligence. ; Energy policy. ; Energy and state. ; Artificial intelligence.
    Kurzfassung: This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities. This work transcends conventional approaches, seamlessly blending theoretical insights with practical applications, and prioritizing real-time, IoT-enabled assessments for optimal energy utilization. Evolving the understanding of renewable energy systems and microgrids, the book distinguishes itself through its hands-on application of IoT technologies. It not only delves into theoretical aspects but also equips readers with actionable insights, guiding the implementation of IoT for informed decision-making in the dynamic landscape of smart city environments. From IoT sensor deployment strategies to data analytics techniques and practical considerations, the book's expansive scope offers a comprehensive roadmap for creating resilient and efficient energy ecosystems. Tailored for professionals, researchers, and policymakers in energy management, urban planning, and IoT technology, this resource speaks to a diverse audience. Whether the reader is an engineer aiming to optimize microgrid performance or a policymaker driving urban sustainability, the book provides indispensable insights. It serves as a compass, informing city planners on energy-efficient infrastructure, guiding researchers in developing impactful IoT applications, and assisting policymakers in formulating forward-thinking, eco-friendly regulations. In a world embracing smart technologies, this book emerges as an essential guide, steering stakeholders toward a future where the seamless integration of energy efficiency and IoT defines the landscape of truly smart and sustainable cities.
    DOI: 10.1007/978-3-031-60629-8
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  • 20
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    Soft Computing and Signal Processing : Proceedings of 6th ICSCSP 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819986286
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXXII, 629 p. 289 illus., 225 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 864
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Cloud Computing. ; Internet of things.
    Kurzfassung: Automobile Parts Classification using Deep Learning based Ensemble Model -- Admission Prediction for Higher Studies in Foreign Universities -- Factors Influencing Employee Satisfaction in Workplace: A Study conducted in the Sonali Life Insurance Company Limited -- Detection of Abductors using Machine Learning Algorithms -- Vehicle Registration using Blockchain and JSON web token for Authentication on Restful Web Service from India Perspective -- Smart Grading System for Evaluating typed Text Answers Using Ensemble Machine-Learning techniques -- Ethereum Blockchain Based KYC Verification -- Crime Rate Prediction Using Machine Learning Techniques -- Comparative Study of various Machine Learning Algorithms for American Sign Language Recognition -- Species Identification of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN) -- Performance Evaluation of ML algorithms for Diabetes Prediction -- Office Management Chatbot using Artificial Intelligence -- Artificial intelligence based coronary heart disease Prediction in real time scenarios -- Milk Adulteration Monitoring and Detection Using IoT -- Multi Layered Object Identification and Detection using Deep CNN Detector -- ANN-Based Resource Scheduling Mechanism in Hybrid Cloud Computing Environment -- Comparison And Performance Evaluation of Fusion Mechanismfor Audio-Video Based Multimodal Emotion Recognition -- E-Commerce Customer Segmentation By Unsupervised Learning -- Analyzing Sentiment of Stock Market Data from twitter using Machine Learning and Deep Learning Techniques -- Transformer-based Chest X-ray Report Generation Model -- Chat Bot for Banking Sector Using NLP and ML -- Deep Learning-based proposed approach for low-dose CT scan based early detection of lung cancer -- Spam Detection using Deep Learning Approaches for Social Media Data -- Review on Design Generation, Defect Detection and Identification of Handloom Cloths using Deep Learning.
    Kurzfassung: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
    DOI: 10.1007/978-981-99-8628-6
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  • 21
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    Machine Learning for Cyber Physical System: Advances and Challenges (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
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    ISBN: 9783031540387
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVI, 406 p. 148 illus., 109 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Intelligent Systems Reference Library 60
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Machine learning. ; Artificial intelligence.
    Kurzfassung: SMOTE Integrated Adaptive Boosting Framework for Network Intrusion Detection -- An In-depth Analysis of Cyber-Physical Systems: Deep Machine Intelligence based Security Mitigations -- Unsupervised approaches in anomaly detection -- Profiling and Classification of IoT Devices for Smart Home Environments -- Application of Machine Learning to Improve Safety in the Wind Industry -- Malware Attack Detection in Vehicle Cyber Physical System for Planning and Control using Deep Learning -- Unraveling what is at stake in the intelligence of autonomous cars -- Intelligent Under-Sampling based Ensemble Techniques for Cyber-Physical Systems in Smart Cities -- Application of Deep Learning in Medical Cyber-Physical Systems -- Risk Assessment and Security of Industrial Internet of Things Network using Advance Machine Learning -- Machine Learning Based Intelligent Diagnosis of Brain Tumor: Advances and Challenges -- Cyber-Physical Security in Smart Grids: A Holistic View with Machine Learning Integration -- Intelligent Biometric Authentication-based Intrusion Detection in Medical Cyber Physical System using Deep Learning -- Current datasets and their inherent challenges for Automatic Vehicle Classification.
    Kurzfassung: This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. .
    DOI: 10.1007/978-3-031-54038-7
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  • 22
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    Proceedings of International Conference on Information Technology and Applications : ICITA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819983247
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXVII, 630 p. 194 illus., 157 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 839
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Quantitative research.
    Kurzfassung: 1. Exploring Practical Applications of Blockchain in Waste Management: Insights from Industry Experts -- 2. Uncovering Hidden Connections: Granular Relationship Analysis in Knowledge Graphs -- 3. Visually Detecting Drones in Drone Swarm Formations Topologies -- 4. Comparison of deep learning and machine learning algorithms to diagnose and predict breast cancer -- 5. Overcoming the Challenges of Data Harmonization: A platform approach from Li-Ion Battery Research -- 6. Exploring the effects of technology in fintech industry: a literature review to provide a research agenda -- 7. Effectiveness Of Internal Evaluation Matrices For Community Detection Based On Clustering.
    Kurzfassung: This book includes high-quality papers presented at 17th International Conference on Information Technology and Applications (ICITA 2023), held in Turin, Italy during 20 – –22 October 2023. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning /e-learning, computer networks, and web engineering.
    DOI: 10.1007/978-981-99-8324-7
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    Proceedings of the Second International Conference on Computing, Communication, Security and Intelligent Systems : IC3SIS 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819983988
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 410 p. 194 illus., 153 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Algorithms for Intelligent Systems
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Kurzfassung: Generation of histopathological images caption using CNN and LSTM -- Veg-Net: A Novel Method for Early Disease Diagnosis in Multi Fruits and Vegetables -- Modernizing the Car Registration Process in India: Implementing Blockchain Technology for Increased Transparency, Efficiency, and Security -- A Robust Approach for Categorizing and Fine-Grain Classification of Indian Ethnic Wear -- Synthetic Ancient Tamil Character Generation Using GAN -- Automatic Text Summarization: Methods, Metrics and Datasets -- Analysis of Stock Market Prediction for Future Trend using Machine Learning -- Deep Learning Model for Indian Fake Currency Detection -- A Two-Level Hybrid CNN Model for IoT Networks Attack Identification -- Wildfire Smoke Detection using Faster RCNN -- Sentiment Analysis for Cross-Lingual Kannada English Language Pair -- Clustered based Approach for Energy-Efficient Routing in Wireless Sensor Networks -- Emerging Trends In Deep Learning Models For Plant Disease Detection: A Review -- Motion FeatureAggregation for Video Object Detection using YOLO approaches -- Evaluating Different Image Segmentation Techniques for Improved Otoscope Image Diagnosis -- SIFT based Prickly Plant Identification System for Visually Impaired People -- A Review on Breast Cancer Detection for Digital Mammograms.
    Kurzfassung: This book presents the best-selected research papers presented at the Second International Conference on Computing, Communication, Security & Intelligent Systems (IC3SIS 2023), organized by SCMS School of Engineering and Technology, Kochi, on July 06–07, 2023. It discusses the latest technologies in communication and intelligent systems, covering various areas of computing, such as advanced computing, communication and networking, intelligent systems and analytics, 5G and IoT, soft computing, and cybersecurity in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers, academics, and industry practitioners.
    DOI: 10.1007/978-981-99-8398-8
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    Fourth Congress on Intelligent Systems : CIS 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990436
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVIII, 426 p. 139 illus., 103 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 865
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Robotics.
    Kurzfassung: 1. Insights into Age-Related Macular Degeneration Detection: A Comprehensive Review of OCT Image Analysis -- 2. An adaptive detection mechanism for IoT devices anomalies using AI/ML based on user pattern -- 3. Automated Verification of the Correctness of Transitions Between Elements of a Mobile Application Using Source Code Generation Tools -- 4. Mute Mate: An Advanced Lip-Reading Solution for Mute Participants in Virtual Conferences -- 5. An insightful analysis of pre-processing methods used in EEG signals for computer assisted cognitive domain -- 6. Understanding Individual Emotional Responses: Analyzing Variations and Introducing Personal Emotional Bias in Kannada Opinion Data set -- 7. A Survey on Feature Selection, Classification and Optimization Techniques for EEG Based Brain Computer Interface -- 8. Mean Teacher Model with Consistency Regularization for Semi-Supervised Detection of COVID-19 using Cough Recordings -- 9. Multimodal Early Fusion Strategy Based on Deep Learning Methods forCervical Cancer Identification -- 10. Comparing Online and Face-to-Face Training with Employees Perspective.
    Kurzfassung: This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
    DOI: 10.1007/978-981-99-9043-6
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  • 25
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    Photonic Artificial Intelligence (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819712915
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 110 p. 14 illus., 12 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: SpringerBriefs in Computational Intelligence
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Photonics. ; Optical engineering.
    Kurzfassung: Introduction -- Impulse Brain? -- Artificial Mind -- Photonic Psychology -- Emotion Recognition -- Photonic Thought -- Soliton’s Semantics -- Subatomic Semantics -- Dark Mind -- Material Synthesis -- Photonic Learning.
    Kurzfassung: This book addresses an attempt to create Photonic Artificial Intelligence (PAI) system based on optical technologies, which process signals continuously. PAI could help to overcome digital computer limits and almost zero out the machine learning time and AI inference. It helps to consider feelings, the chaos of thoughts, cognitive activity, and the transcendental states of the human mind in AI systems. The book also discusses new problems such as synthesizing new photonic materials, creating optical control systems, and connecting PAI systems with outside digital computers and holographic memory. The book is aimed at a wide range of readers, including postgraduates and researchers, interested in advanced AI by creating its new paradigm, which can help to overcome traps of traditional AI development.
    DOI: 10.1007/978-981-97-1291-5
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  • 26
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    Advances in Tourism, Technology and Systems : Selected Papers from ICOTTS 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819997657
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 551 p. 121 illus., 96 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Smart Innovation, Systems and Technologies 383
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Tourism. ; Management. ; Big data.
    Kurzfassung: Competencies and Skills for Tourism Education Advancement: A Bibliometric Analysis and Literature Review -- The importance of Food & Beverage Service in the cruise passengers -- Environmental sustainability of social and executive events in Ciudad Juárez, Mexico -- Health and economy: a necessary relationship to face the path towards sustainable development in latin america and the caribbean, post covid -- Covid 19 and the challenge of the health, tourism, and economic sectors, towards the path of sustainable development in Latin America and the Caribbean -- The importance of foreign language mastery in the tourism sector -- Tourism Destination Branding as a Marketing Factor: A Short Literature Review with a Focus on Northern Cyprus -- The reality of Blockchain Technology for the Digital Business world -- The Influence of Business Cycles on Corporate Performance: Evidence from Outdoor tourism -- Marketing trade-offs in periods of low and high munificence: A study of tourism enterprises in Uruguay -- Development of a Mobile App as an adjuvant treatment for thermal context patients -- Validation of a Mobile App as an adjuvant treatment for thermal context patients: a randomized controlled trial protocol -- Dark Heritage Tourism in Portugal: a resource to explore -- Adventure tourism in Santo Domingo Province based in an educational proposal -- Sustainable education and the challenges of the contemporary world -- Space tourism: Progress, obstacles and growth prospects bearing in mind public and private projects -- Understanding the Complexities of Leadership and Intersectionality in Women in Tourism Research: A Conceptual Analysis -- The application of information technologies for agrotourism in the municipality of Guapotá, Santander, Colombia -- Dance as representative body language of various Amazonian cultures -- The role of familiness and cultural heritage in touristic family-owned restaurants of Juarez, Mexico -- The Impact of Information Technologies on the tourist experience: Caseof Tabasco, Mexico -- Archaeological Tourism in Pacto - Pichincha based in a tourist educational proposal -- Best Evacuation Simulation Strategies – Analysis of a River Cruise Ship Case -- Local gastronomy and the role of confraternities in tourism valorization. The confraternity of bucho raiano in the promotion of inland tourism -- Music Events, Sustainability and Accessibility: Case Study on the Coldplay Tour in Brazil -- Sustainability and Technological Advancements in Tourism Events: the case of Electric Love Festival (Salzburg, Austria) -- Landscape and nature tourism activities evaluation through social networks -- Attachment theory and sense of place for visitors to Kaz-begi National Park -- The construction of the brand narrative through the creation of corporate museums -- Structuring a gastronomic route on the local sweets and other cultural heritage: The case of The Route of Arouca’s Sweet Secrets -- Cultural Indicators as a Tool for Assessing Sustainable Development in the Alto DouroWine Region -- Itineraries of memory and historical recreation based on mental maps: A Study in Lamego, Portugal -- Community and tourist’s perceptions as contributions to Rural destination development: the Fontoura collab framework pilot -- Building an Irresistible Shopping Experience: The Power of Personality, Subjective Well-Being and Parasocial Relations on the Online Impulse Buying Tendency -- Social media as a marketing strategy in hospitality: case study of the Braga city -- Exploring Tourism Potential in Muş: Embracing Unique Experiences in an Undeveloped Region -- Egocentric networks design in tourism’s indigenous social enterprises -- Motivations of Youth Tourism: The Case of University Students in the Porto and North Region -- Application of Artificial Intelligence in companies in the tourism sector: the case of chatbots -- Rural and community tourism: An alternative in postdevelopment -- Practitioners' Perception Regarding Bio Certified Food in Public Food Units in Brasov -- The influence of the Covid-19 crisis on financial statements manipulations in the Portuguese wine and tourism sector -- Artificial intelligence in education in Cape Verde: potential and challenges -- The climate in different tourist locations affecting chil- dren with bronchial asthma -- Robotics evolves the industry tourism: advantages and challenges -- Young people with asthma on vacation at Aqua Park - Esmeraldas -- The impact of health and wellness tourism on tourists' physical, mental, and emotional balance.
    Kurzfassung: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac University, Bacalar, Mexico, from 2 to 4 November 2023. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
    DOI: 10.1007/978-981-99-9765-7
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578533
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXVIII, 489 p. 177 illus., 124 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 200
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: A Method for Estimating the Number of Diseases in Computed Tomography Reports of the Japanese Medical Image Database (J-MID): Variations among Facilities -- Enabling Dynamic Vulnerability Assessment for Multi-web Application Using Executable Directed Acyclic Graph -- Discovery of RESTful Web Services Based on the Openapi 3.0 Standard with Semantic Annotations -- Perfresolv: A Geo-distributed Approach for Performance Analysis of Public Dns Resolvers Based on Domain Popularity -- Dars: Empowering Trust in Blockchain-based Real-world Applications with a Decentralized Anonymous Reputation System -- An Empirical Comparison of Outlier Detection Methods for Identifying Grey-sheep Users in Recommender Systems -- Adaptive Consensus: Enhancing Robustness in Dynamic Environments -- Cottontrust: Reliability and Traceability in Cotton Supply Chain Using Self-sovereign Identity -- Interoperability Between Evm-based Blockchains -- Stand-up Indulgent Gathering on Lines for Myopic Luminous Robots -- Iot Identity Management Systems: The State-of-the-art, Challenges and a Novel Architecture -- Starm: Streaming Association Rules Mining in High-dimensional Data -- Regulation Compliance System for Iot Environments: Gdpr Compliance as a Use-case -- Two-dimensional Models of Markov Processes for System Availability -- Enabling Ai in Agriculture 4.: A Blockchain-based Mobile Crowdsensing Architecture.
    Kurzfassung: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57853-3
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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978861
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXII, 609 p. 191 illus., 157 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 817
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Kurzfassung: 1. Robust Ownership Management for Secure Deduplication in Cloud -- 2. Cervical Cancer Prediction Using Machine Learning Techniques -- 3. Digital Transformation of University Course Filing using Information and Communication Technologies (ICT): A Sustainable Approach -- 4. Optimizing Neural Network Performance for Time Series Analysis: Techniques for Improving Output Accuracy -- 5. The Business-oriented Extension of the Sustainability Awareness Framework – a Design Science Study -- 6. An IoT-based Smart Waste Management System: Senegal SET -- 7. Social Media And Healthcare: Effectiveness Of Education About Covid-19 Vaccination To Improve Knowledge And Attitudes In Students -- 8. Job scheduling for Big Data processing in YARN to enhancing performance -- 9. Quantum machine learning in intrusion detection systems: A systematic mapping study -- 10. A comparative documentary analysis of the Brazilian Digital Transformation Strategies adopted in the Enabling Thematic Axes of 2018 and 2022.
    Kurzfassung: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.
    DOI: 10.1007/978-981-99-7886-1
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  • 29
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    Data-Centric Security in Software Defined Networks (SDN) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555176
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIX, 118 p. 38 illus., 2 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Big Data 149
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    Schlagwort(e): Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Kurzfassung: Introduction -- Data-centric security -- Software Defined Networks -- Cross-layer enforcement of data security in SDN -- Risk-aware routing in SDN -- Risk-aware routing applicability for DCS enforcement -- DCS deployment in SDN-based systems.
    Kurzfassung: The book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aim to provide defence under the assumption that the boundary protections will be breached. Based on experience and lessons learned from research on the application of DCS to defence systems, the authors present an approach to integrating the DCS concept with SDN. They introduce a risk-aware approach to routing in SDN, enabling defence-in-depth and enhanced security for data in transit. The book describes possible paths for an organisation to transition towards DCS, indicating some open and challenging issues requiring further investigation. To allow interested readers to conduct detailed studies and evaluate the exemplary implementation of DCS over SDN, the text includes a short tutorial on using the emulation environment and links to the websites from which the software can be downloaded.
    DOI: 10.1007/978-3-031-55517-6
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  • 30
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477249
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 879 p. 380 illus., 339 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 823
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    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47724-9
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    Fourth Congress on Intelligent Systems : CIS 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990405
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVIII, 481 p. 215 illus., 156 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 869
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Robotics.
    Kurzfassung: 1. Comparative study of various machine learning techniques for Parkinson disease detection based on handwriting -- 2. A Systematic Review of Air Pollution and Weather Parameters Detection Methods in Satellite Remote Sensing -- 3. Fingerprint Based Asymmetric Bio-Cryptographic Key Generation Using Convolution Network -- 4. Comparison of Brain Tumor Detection Techniques by Using Different Machine Learning YOLO Algorithms -- 5. Media Steganography Using CNN With Blockchain Enabled Secure File Transfer -- 6. Diagnosing ADHD and Personality Disorders as per DSM-5 using Novel APK, PDPK and DDPK Machine Learning Algorithms -- 7. Inception Time Model for Structural Damage Detection using Vibration Measurements -- 8. Exploring Challenges and Innovations in E-commerce Recommendation Systems: A Comprehensive Review -- 9. Enhanced Ensemble Classifiers for Heart Disease Prediction -- 10. Study of RNN with its CNN based hybridization for temporal remote sensing data processing to map rabi crops.
    Kurzfassung: This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
    DOI: 10.1007/978-981-99-9040-5
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    Emerging Research in Intelligent Systems : Proceedings of the CIT 2023 Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522581
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 368 p. 82 illus., 70 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 903
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Kurzfassung: Comparative study of abrasion resistance in cotton and meta-aramid fabrics for the production of safety garments -- Cybersecurity and cyber defense in the light of new technologies in cyberspace -- NATO/USAF standards in the FAC (by its Spanish acronym), building interoperability from the basic flight schools -- Human capital and per capita income in Ecuador -- Effect of the real wage on the basic family basket in Ecuador -- Evaluation of technical efficiency in segment one of the savings and credit cooperatives in Ecuador for 2016-2021 -- Measurement of innovation capacity in small and medium manufacturing companies -- The adhocracy culture and its impact on innovation in manufacturing companies of the Quito Metropolitan District -- Adjustable polycentric mechanism for external knee joint prosthesis based on the instantaneous center of rotation -- Manufacture of a custom-made AFO orthosis based on abaca nonwoven composite (Musa textilis) and resin -- Application of multicomponent nanoparticles synthesized with Andean blackberry fruit extract (Rubus glaucus) NPs (Ca, Fe, Mg-Rg) for oyster mushrooms (Pleurotus ostreatus) -- Characterization of a bamboo cellulose-activated carbon filament and resin -- Phytoremediation of pharmaceutical mixtures using Chrysopogon zizanioides: A sustainable alternative for removing emerging contaminants from wastewater -- Strength and elongation analysis of a coconut fiber-based nonwoven with potential applications for geotextiles -- Burnout syndrome and its relationship to working schedule: A cross-sectional study among oilfield workers in the Ecuadorian Amazon region -- ECRIF as a strategy to boost EFL students' speaking skills: An exploratory action research approach -- Attitude levels towards multicultural education in primary school teachers from north Lima (Peru) -- Implications of stakeholders on the quality and governance of university higher education: a critical analysis -- School motivation and academic performance in mathematics in primary school students from Pachacamac (Lima, Peru) -- Burnout syndrome in physicians of the surgical hospitalization area of a second-level hospital in the city of Guayaquil -- Evaluating the profiles of preprofessional internships of two University programs in early childhood end elementary education -- The community as a strategy for crime prevention: The experience of “Soñarte” socio-cultural project -- News coverage on the social network Facebook: a systematic review in Scopus from 2018 to 2023 -- Predictors of academic satisfaction through activities with Turnitin -- Effect of the application of pedagogical tools for ethics training in the public accounting program of the Corporación Universitaria Minuto de Dios distance modality -- The mediating effect of academic performance on ChatGPT satisfaction in university students.
    Kurzfassung: This book covers different aspects of advances in research, technological development, and innovation results in artificial intelligence, computational modeling, electrical, electronics, telecommunication, data communications, defense engineering, innovation, technology and society, managing technology and sustained innovation, business development, security and cryptography, and software engineering. In addition, the volume focuses on research results focused on finding innovative solutions in intelligent systems concerning the topics mentioned above, which are developed in national and international postgraduate programs and associated research groups and networks. This book interests the industry, teachers, undergraduate and graduate students, and researchers working in intelligent systems, security and defense, and technological, human, and administrative sciences. .
    DOI: 10.1007/978-3-031-52258-1
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    Software Engineering and Management: Theory and Application : Volume 16 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031551741
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VI, 238 p. 103 illus., 78 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1137
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    Schlagwort(e): Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Kurzfassung: 1. Changing Beauty Industry’s Strategic: Focused on Metaverse and Generation MZ -- 2. ESG news analysis using news big data: Focusing on topic modeling analysis -- 3. Effects of the Perceived Benefit and Innovativeness of Live Commerce on Intention to Use: Focus on Chinese consumers -- 4. A Study on the Effect of Customer Experience on the Intention to Continuously Use Coffee Store Mobile App based on UTAUT Model -- 5. A Study on Parallel Recommender System with Stream Data Using Stochastic Gradient Descent -- 6. Using Incremental Algorithm in Hybrid Recommender System Combined Sentiment Analysis -- 7. A Bottom-Up Generic Probabilistic Building and Enriching approach for knowledge graph using the LDA-based clustering method -- 8. Measuring the Effects of Signal-To-Noise in EEG Emotion Recognition -- 9. Phishy? Detecting Phishing Emails Using Machine Learning and Natural Language Processing -- 10. Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors, etc.
    Kurzfassung: The book reports state of the art results in Software Engineering Research, Management & Applications in both printed and electronic form. SCI (Studies in Computation Intelligence) has grown into the most comprehensive computational intelligence research forum available in the world. This volume published original papers on both theory and practice that address foundations, state of the art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-55174-1
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  • 34
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    Communication and Intelligent Systems : Proceedings of ICCIS 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819720798
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVIII, 456 p. 149 illus., 122 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 968
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Image processing ; Computer vision. ; Machine learning.
    Kurzfassung: Multilingual Speech Recognition: An In-depth Review of Applications, Challenges, and Future Directions -- Performance Evaluation of Job Shop Scheduling Problem using Proposed Hybrid of Black Hole and Firefly Algorithms -- Machine Learning and Healthcare: A Comprehensive Study -- Evolutionary Algorithms for Fibers Upgrade Sequence Problem on MB-EONs -- Exploring the Potential of Deep Learning Algorithms in Medical Image Processing: A Comprehensive Analysis -- Comparative Analysis of Image Enhancement Techniques: A Study on Combined and Individual Approaches -- Smishing: A SMS Phishing Detection Using Various Machine Learning Algorithms -- Convolution Neural Network (CNN) based Live Pig Weight estimation in Controlled Imaging Platform -- A Novel Image Encryption Technique based on DNA Theory and Chaotic Maps -- An Empirical Study on Comparison of Machine Learning Algorithms for Eye-State Classification using EEG data -- Decoding the UK's Stance on AI: A Deep Dive into Sentiment and Topics in Regulations -- Latest Trends on Satellite Image Segmentation -- Landmark detection using Convolutional Neural Network: A Review -- An Efficient Illumination Invariant Tiger Detection Framework for Wildlife Surveillance -- An Innovative Frequency -- Limited Interval Gramians-Based Model Order Reduction Method using Singular Value Decomposition.
    Kurzfassung: This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16–17, 2023. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.
    DOI: 10.1007/978-981-97-2079-8
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  • 35
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    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing : Volume 17 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563881
    Sprache: Englisch
    Seiten: 1 Online-Ressource(Approx. 215 p.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1153
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Kurzfassung: Develop a System to Analyze Logs of a Given System Using Machine Learning -- Study on Locality, Fairness, and Optimal Resource Allocation in Cluster Scheduling -- Digital word-of-mouth and purchase intention. An empirical study in millennial female and consumers -- Alignment of Business Process and Information System Models through Explicit Traceability -- An Assessment of Fintech for Open Banking: Data Security and Privacy Strategies from the Perspective of Fintech Users.
    Kurzfassung: This book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. This edited book presents original papers on both theory and practice. It addresses foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-56388-1
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  • 36
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    Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering : The Second Serbian International Conference on Applied Artificial Intelligence (SICAAI) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031608407
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VII, 250 p. 90 illus., 74 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 999
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Kurzfassung: The book Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering is providing exceptional chapters of the state-of-the-art research knowledge and results on the innovative theories, methodology and applications of artificial intelligence and its sub-domain like deep learning, machine learning in different areas such as medicine, economy, education, law, smart city, government, industry etc. Innovative research ideas on how to solve problems using artificial intelligence, both in R&D and real-time applications are presented. Chapters describe the advanced prototypes, systems, methodologies, tools and techniques and general survey papers, which indicate future directions. These Chapters are extended papers from the Second Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19-20, 2023.
    DOI: 10.1007/978-3-031-60840-7
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  • 37
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    Communication and Intelligent Systems : Proceedings of ICCIS 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819720828
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 490 p. 150 illus., 80 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 969
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Image processing ; Computer vision. ; Machine learning.
    Kurzfassung: Deep Learning-Based Attack Prediction for Returns in Supply Chain Management Systems -- A Effective Framework for Early Detection and Classification of Cardiovascular Disease (CVD) using Machine Learning Techniques -- A Coherent Ensemble Modeling Approach for Diabetic Retinopathy Using MIFNET Method -- A Novel Approach for Agricultural Crop Classification with Incremental Learning -- Coronary Vessel Segmentation in X-ray Using U-Net -- Unveiling Clarity: A Survey on Haze Removal Techniques using Deep Learning Approaches -- Surveying Strategies: Detecting Sinkhole Attacks in IoT Networks -- Prediction of Thoraco Pulmonary Disorders Based on Pattern of Lung Injury in CT/HRCT using Deep Learning Techniques -- Facial Expression Recognition in ATM Surveillance System -- Challenges, Communications, Routing Protocols and Applications of FANETs- A Systematic Review -- Prediction of Chronic Venous Insufficiency Condition using Infrared -- Thermography andMachine Learning -- A Review of Brain Tumor MRI Classification and Feature Extraction Using Varying Methods -- Time Domain Specifications of Step Responses of Both -- Underdamped and Overdamped System: In Correction to MATLAB Inbuilt ‘stepinfo’ Function -- Transfer Learning Based Speed Limit Traffic Sign Recognition with Multilingual Audio Alerts -- Impact of the Use of Social Media among University Students using Machine Learning.
    Kurzfassung: This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16–17, 2023. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.
    DOI: 10.1007/978-981-97-2082-8
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  • 38
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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 4 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819981113
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIII, 380 p. 113 illus., 90 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 828
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Kurzfassung: Chapter 1:Knowledge management model focused on organizational sustainable development -- Chapter 2:Control of temperature and relative humidity in greenhouse by humidification system using fuzzy logic in LabVIEW -- Chapter 3:An Intelligent Meter with Smart Home Ability for Intelligent Energy Management -- Chapter 4:Enhancing Workplace Safety through Collaborative Technologies: A Case Study in the Manufacturing Industry -- Chapter 5:Lessons from the Past a Historical Literature Review on Cyber Resilience -- Chapter 6:Strategy to Identify Knowledge Management Solutions for Startup Companies -- Chapter 7:Development of a Smart Pole System Utilizing Arduino Technology and the Internet of Things -- Chapter 8:Preparing Future Leaders: Communication Skills and Leadership Development for E-Government & ICT Reforms -- Chapter 9:Six Sigma DMAIC to Improve the Quality of Food Service: KAU Case Study -- Chapter 10:Effects of Humour in Social Robots onChildren’s Learning -- Chapter 11:Digital Twin and Metaverse supporting Smart Cities new perspectives and potentials -- Chapter 12:AgriChain: Blockchain-enabled Food Traceability -- Chapter 13:Aid Nexus : A Blockchain Based Financial Distribution System -- Chapter 14:Artificial intelligence in countering disinformation and enemy propaganda in the context of Russia’s armed aggression against Ukraine -- Chapter 15:A Reinforcement Learning Model of a Dynamic Solar Panel System for Maximum Energy Harvesting -- Chapter 16:ERP Integration: Enhancing Collaboration in Virtual and Extended Enterprises -- Chapter 17:Exploring the Factors Influencing a Firm's Intent to Adopt Quantum Computing Resources -- Chapter 18:Analysis of data on the audiovisual narrative of the YouTuber Ariana Bolo Arce during 2021 -- Chapter 19:The impact of advertising on video games -- Chapter 20:Internal Communication in the Scopus database: Systematic literature review 2019 - 2023 -- Chapter 21:Cost management model in the subway and open pit mines: A systematic review -- Chapter 22:Advergame: A case study on young people in Lima, Peru -- Chapter 23:Literature-based Practices for Designing Female-inclusive Software Engineering and Computer Science Programs -- Chapter 24:External Communication: A Systematic Literature Re-view 2019 – 2023 -- Chapter 25: Anomaly Detection Across Multi Scale Temporal Data Streams for Human Behavior Modeling -- Chapter 26:Aggregated Framework for Surveillance camera collaboration -- Chapter 27:A Novel Secure Approach for Enhancing Accuracy of Pest Detection with Private Federated Learning using DPSGD -- Chapter 28:Assessment of Home Specific Network Security Training to Prevent Work From Home Culture -- Chapter 29:Parkezy –A Generic Streamlined Intellectual Parking System using ALPR/RFID -- Chapter 30:Improved Intelligent Malware Detection Model in Cloud Environment -- Chapter 31:SMOTE BASED HEART DISEASE DETECTION UTILIZING AI & ML STACKING CLASSIFIER -- Chapter 32:Multi-class Classification of Lung Cancer Detection Using Deep Learning Model. .
    Kurzfassung: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in four volumes. The book is helpful for active researchers and practitioners in the field.
    DOI: 10.1007/978-981-99-8111-3
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  • 39
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    Intelligent IT Solutions for Sustainability in Industry 5.0 Paradigm : Select Proceedings of ICEIL 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819716821
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 524 p. 165 illus., 147 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Electrical Engineering 1185
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Comparative Analysis of Financial Datasets Predictive Modelling Using Feature Extraction Methods -- Extracting Relevant Features for Software Transplantation -- The Role of Generative Artificial Intelligence (GAI) in Education: A Detailed Review for Enhanced Learning Experiences -- A Comparative Analysis and Statistical Inference of Diabetes cases -- A study on Indian Digital Banking Online Customer Experience -- Cancer Detection Techniques: An Overview of Traditional and AI-Based Methods and Their Comparative Analysis -- A novel Classification Scheme for Credit Card Fraud Detection Using Data Mining -- Measuring Impact of Generative AI in Software Development and Innovation -- Tag Tracker: A Smart Asset Tracking Solution -- Implementation of File Tracking Machine to Assess Employee Performance using Web Services System -- Modified modelling of RoF for advanced wireless network for long haul communication -- SafeMeds: Electronic Health Records using Blockchain -- Predictive Analysis of Oil and Gasusing Well Log Data -- Intelligent Irrigation Systems in Agriculture using Fuzzy Logic Techniques -- Parallel Corpus Development using Machine Translation -- Employing Machine Learning Models in Prediction of Harmful gases from Agri-waste -- Participation of cybersecurity practitioners in a cybersecurity CoP in Africa -- Depression Detection using Linear Regression Model -- Impact of Gamification on Student Learning: An Empirical Evidence -- A Review on Diabetes Prediction Using Machine Learning Techniques.
    Kurzfassung: This volume comprises the select proceedings of the 5th International Conference on Entrepreneurship, Innovation, and Leadership (ICEIL 2023). The content focuses on intelligent IT Solutions for sustainability in the Industry 5.0 paradigm with themes highlighting smart grids, intelligent power systems, digital health and automation, IoT and applications in healthcare, agricultural automation, precision agriculture, BI innovation, AI for value creation, security awareness and education, biometric technologies and applications, human-centric solutions, ICT development in higher education, gamification in the classroom, etc. This volume will be of immense interest to those in academia and industry.
    DOI: 10.1007/978-981-97-1682-1
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  • 40
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    Ethics of Medical AI (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031557446
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VII, 257 p. 1 illus.)
    Ausgabe: 1st ed. 2024.
    Serie: The International Library of Ethics, Law and Technology 24
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    Schlagwort(e): Technology ; Medical Ethics. ; Artificial intelligence.
    Kurzfassung: Part 1: Foundations -- Chapter 1: Introduction -- Chapter 2: Artificial Intelligence: In search of a definition -- Chapter 3: MAI: A very short history and the state of the art -- Chapter 4: Ethical foundations: Medical Ethics and Data Ethics -- Part 2: Ethical Analysis -- Chapter 5: Practices -- Chapter 6: Relationships -- Chapter 7: Environments -- Chapter 8: Instead of a conclusion: Seven lessons for the present.
    Kurzfassung: This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies transform practices, relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as well as undergraduate university courses.
    DOI: 10.1007/978-3-031-55744-6
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  • 41
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    New Perspectives in Software Engineering (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031505904
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 410 p. 136 illus., 103 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1135
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Engineering ; Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Kurzfassung: The goal of this book is to provide a broad understanding on the New Perspectives in Software Engineering research. The advancement of computers, and mobile devices, among others, has led to the creation of new areas of knowledge to improve the operation and application of software in any sector, allowing many previously unimaginable activities. In this context, the evolution of software and its applications has created new domains of interest, emerging New Perspectives of Software Engineering for these new areas of knowledge such as: DevOps, Industry 4.0, Virtual and Augmented Reality, Gamification, Cybersecurity, Telecommunications, Health Technologies, Energy Systems, Artificial Intelligence, Robot control, among others. This book is used in different domains in which a broad scope of audience is interested: software engineers, analyst, project management, consultant, academics and researchers in the field both in universities and business schools, information technology directors and managers, and quality managers and directors. Finally, the book contents are also useful for Ph.D. students, master’s, and undergraduate students of IT-related degrees such as Computer Science and Information Systems.
    DOI: 10.1007/978-3-031-50590-4
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  • 42
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    Algorithmic Democracy : A Critical Perspective Based on Deliberative Democracy (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031530159
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIII, 257 p.)
    Ausgabe: 1st ed. 2024.
    Serie: Philosophy and Politics - Critical Explorations 29
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Political science ; Ethics. ; Political science. ; Artificial intelligence.
    Kurzfassung: Introduction -- Part I: Framing algorithmic democracy -- Chapter 1. The democratic drift -- Part II: Ethical and political challenges of Algorithmic Democracy -- Chapter 2. The Second Age of Artificial Intelligence -- Chapter 3. The virtual politician: on algorithm-based political decision-making -- Chapter 4. Digital twins: on algorithm-based political participation -- Chapter 5. Platformization: the dangers of the artificial public sphere -- Chapter 6. Moral learning by algorithms: the possibility of developing morally intelligent technology -- Chapter 7. The metaverse: building a digital hyper-economy -- Part III: Against algorithmic democracy: scope and ethical-discursive perspectives for an expansion of deliberative democracy -- Chapter 8. Artificial ethics: on the automation of morality -- Chapter 9. Critique of algorithmic reason -- Chapter 10: Dialogic digital ethics: from explicability to participation -- Chapter 11: Civil society: an ethical framework for algorithmic democracy -- Chapter 12. Institutional design for an embedded algorithmic democracy -- Index.
    Kurzfassung: Based on a deliberative democracy, this book uses a hermeneutic-critical methodology to study bibliographical sources and practical issues in order to analyse the possibilities, limits and consequences of the digital transformation of democracy. Drawing on a two-way democracy, the aim of this book is intended as an aid for thinking through viable alternatives to the current state of democracy with regard to its ethical foundations and the moral knowledge implicit in or assumed by the way we perceive and understand democracy. It is intended to stimulate reflection and discussion on the basis that, by addressing what we understand as democracy, we can inevitably influence the reality known as democracy. Democracy’s evident regression in today’s world makes this all too apparent: it has become a hostage to all kinds of autocracies and technopopulisms, which are supported to a greater or lesser extent by the current algorithmic revolution.
    DOI: 10.1007/978-3-031-53015-9
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  • 43
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    Improving technology through ethics (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031529627
    Sprache: Englisch
    Seiten: 1 Online-Ressource(V, 108 p. 13 illus., 8 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: PoliMI SpringerBriefs
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Technology ; User interfaces (Computer systems). ; Human-computer interaction. ; Technology ; Artificial intelligence.
    Kurzfassung: Introduction: What Improving Technology through Ethics Means -- An Ethnographer Among the Engineers: Doing STS at a Technical University -- Future Medicine: Towards a More Conscious and Ethical Communication -- Data Quality, Data Diversity and Data Provenance: An Ethical Perspective -- Ethics-aware Application of Digital Technologies in the Construction Industry -- Drawing Together: Technology Development for Public Service -- Addressing Big Data Poverty in Sub-Saharan Africa for Responsible AI Development -- Social and Technological Innovation: Cross-Fertilization Needed.
    Kurzfassung: This book deals with the ethics of technology and addresses specific ethical problems related to some emerging technologies, mainly in the field of computer science (from machine learning models to extracting value from data to human–robot interaction). The contributions are authored mainly by scholars in ICT and other engineering fields who reflect on ethical and societal issues emerging from their own research activity. Thus, rather uniquely, the work overcomes the traditional divide between pure ethical theory that disregards what practitioners do and mere R&D practice that ignores what theorists conceptualize. Conversely, the reader is enabled to understand what ethics means when it is actually put into work by engineering researchers. The book arises from a joint program between MIT and Politecnico di Milano aimed at training early career researchers in addressing the ethical issues of technology and critically reflecting on the social impacts of the emerging, and even disruptive, technologies they are currently developing through their novel research. Overall, it aims at spreading the task of developing technologies that, from the beginning, are designed to be responsible for human life, society, and nature.
    DOI: 10.1007/978-3-031-52962-7
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  • 44
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    Recent Advances in Technology Research and Education : Selected Papers of the 20th International Conference on Global Research and Education Inter-Academia (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031544507
    Sprache: Englisch
    Seiten: 1 Online-Ressource(IX, 330 p. 191 illus., 63 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 939
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Properties of Vacuum-Evaporated Metal Halide Perovskite Absorbers on Planar and Nanotextured Silicon Substrates -- Spin relaxation in GaAs/AlGaAs coupled quantum wells -- Tritium Release Behavior of Biphasic Lithium Ceramic with Low Li4SiO4 Content -- Synthesis and characterization of functionalized zinc phthalocyanine-natural polymer systems -- Study of the phase changes in ZnS-based phosphors crystal structure impact on their radioluminescent performances -- Analysis of the Resistance of Silicon Nanoscale Structures Highly Doped in Different Configurations -- Study of p-n junctions created by laser implantation of In in semi-insulating p-CdTe:Cl -- Spectroscopic studies of high performance CdTe-based Schottky diode X/γ-ray sensors -- Comparative Evaluation of Electrical Properties of Carbon Nanotube Networks Deposited on CMOS-Compatible Platform -- Dielectric SiO2 sol-gel coatings for microelectronics.
    Kurzfassung: This book presents the 20th edition of the Inter-Academia Conference which aims to be a valuable resource for academic institutions in search for novel approaches for a global education, for industry partners exploring new fundamental research ideas, for government bodies seeking international projects that promote sustainable growth, and most certainly for the global scientific community, more and more invested in the multi-disciplinarity of modern research. Interdisciplinary research collaboration is crucial for solving many pressing issues and challenges facing society today. Bringing together researchers and educators from different disciplines allows a more holistic understanding of complex problems, providing also the opportunity for new learning and for collaboration on complex projects. Beyond its scientific merits and value, Inter-Academia also promotes a culture of intellectual diversity, innovative thinking, and global perspective that can foster breakthrough discoveries, unexpected advancements in research, and, last but not least, a sense of belonging to a global community. Being established in 2002, the Inter-Academia Community currently gathers researchers from 14 leading Universities in Eastern and Central Europe, together with Shizuoka University, in Japan. As such, the Inter-Academia Community serves as a strong bond across continents, allowing the development of a number of global projects for student and researcher mobility, with a significant impact on the broader scientific community. The peer-reviewed papers included in this book hopefully stimulate further interactions and collaborations covering both fundamental and applied research, with benefits for the global society.
    DOI: 10.1007/978-3-031-54450-7
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  • 45
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    Evolutionary Artificial Intelligence : Proceedings of ICEAI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984381
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 568 p. 286 illus., 211 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Algorithms for Intelligent Systems
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Image processing. ; Algorithms.
    Kurzfassung: Empowering Multilingual Abstractive Text Summarization: A Comparative Study of Word Embedding Techniques -- A more effective ensemble ML method for detecting breast cancer -- Model Accuracy Test for Early Stage of Diabetes Risk Prediction with Data Science Approach -- Financial Statement Fraud Detection using Optimized Deep Neural Network -- Managing Operations in Chaotic Environments with Evolutionary Software Agents -- Identification of Plant Leaf Disease using Synthetic Data Augmentation ProGAN to Improve the Performance of Deep Learning Models -- IoT and Satellite Image Driven Water Quality Monitoring and Assessment Method in Coastal Region -- Machine Learning-powered Cloud-based Text Summarization -- Image Classification Using Few Shot Learning -- A Survey on Thyroid Nodule Detection and Classification -- XGBoost tuned by hybridized SCA metaheuristics for intrusion detection in healthcare 4.0 IoT systems -- Chaotic Biogeography Based Optimization using Deep Stacked Auto Encoder for Big DataClassification -- CigaretteCNN: A Convolutional neural network for detecting cigarette smoking activity -- Predicting Customer Churn in Subscriptio n-Based Enterprises Using Machine Learning -- Improved Edge Detection for Brain Tumor using Multi-Threading and Advanced Parallelism -- Impact of Artificial Intelligence on Investment: A Narrative Review -- Power Quality Conditioner with Hybrid Ant Colony Optimization -- Diagnosis of Early Cardiac Disease by Applying Machine Learning Algorithms -- Fault-Tolerant Mobile Agent System using eXtensible Volunteer Algorithm enabled Dynamic Role Based Access Control in a Conclave Environment -- Hyperparameter Tuning by Evolutionary Algorithm for Object Detection on Multimodal Satellite Imagery -- Comparative Examination of Credit Card Fraud Detection Using Machine Learning Algorithms -- Wagging Based Whale Optimization Algorithm To Enhance The Prediction of Intrusions In IoT Network -- Redefining Leadership in the Age of AI: Tools, Applications, and Limitations -- Happiness Index: Prediction with Machine Learning -- Malicious Domain Detection using Random Indexing and Machine Learning -- Multi Objective Neuro Evolution Based Xception For Fault Detection In Edge System -- Deep Neuro Evaluation With Stacked Auto Encoders Opimization For Biomedical Cancer Text Classification.
    Kurzfassung: This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2023) held in Malaysia during 13-14 September 2023. The focus of the book is interdisciplinary in nature and includes research on all aspects of evolutionary computation to find effective solutions to a wide range of computationally difficult problems. The book covers topics such as particle swarm optimization, evolutionary programming, genetic programming, hybrid evolutionary algorithms, ant colony optimization, evolutionary neural networks, evolutionary reinforcement learning, genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory.
    DOI: 10.1007/978-981-99-8438-1
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    Fourth Congress on Intelligent Systems : CIS 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990375
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVIII, 476 p. 220 illus., 184 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 868
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Robotics.
    Kurzfassung: 1. A Simple way to predict Heart Disease using AI -- 2. Automating Dose Prediction in Radiation Treatment Planning using Self-Attention based Dense Generative Adversarial Network -- 3. Track Learning Agent using Multi-Objective Reinforcement Learning -- 4. Performance Assessment of Gaussian Filter Based Image Fusion Algorithm -- 5. A Cognitive Comparative Analysis of Geometric Shape-based Cryptosystem -- 6. A Lesion Feature Engineering Technique based on Gaussian Mixture Model to Detect Cervical Cancer -- 7. Energy Optimization of Electronic Vehicle Using Blockchain Method -- 8. Pattern Recognition: An Outline of Literature Review that Taps into Machine Learning to Achieve Sustainable Development Goals -- 9. Novel Approach for Stock Prediction using Technical Analysis & Sentiment Analysis -- 10. Visualizing and Exploring the Dynamics of Optimization via Circular Swap Mutations in Constraint-Based Problem Spaces.
    Kurzfassung: This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
    DOI: 10.1007/978-981-99-9037-5
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  • 47
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume VII (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819711031
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VIII, 493 p. 291 illus., 221 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Electrical Engineering 1177
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Kurzfassung: Chapter 1. A personalized ramp merging decision-making method for autonomous driving based on reverse reinforcement learning -- Chapter 2. An adaptive cruise hybrid control method for unmanned driving -- Chapter 3. Dynamic Quantitative Analysis for Large Scale Skid-steered UGV -- Chapter 4. An Optimization-based Path Planning Method for Unmanned Systems in Multi-obstacle Environments -- Chapter 5. An adaptability-based terrain costmap for heterogeneous vehicle swarm path planning -- Chapter 6. Attention encoder-decoder network based autonomous risk driving identification for connected heavy-duty vehicles -- Chapter 7. Loosely-coupled Camera-IMU-OGS fusion Localization -- Chapter 8. Multi-sensing pedestrian detection method based on an improved EPNet -- Chapter 9. Abrupt Lane Change Recognition Model Towards Autonomous Vehicle based on Lane Line Inclination -- Chapter 10. Path-oriented Green Wave Speed Control Model Towards Autonomous Vehicle, etc.
    Kurzfassung: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1103-1
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  • 48
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume III (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710874
    Sprache: Englisch
    Seiten: 1 Online-Ressource(IX, 585 p. 319 illus., 262 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Electrical Engineering 1173
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Kurzfassung: Chapter 1. Collision-Free UAV Flocking System with Leader-guided Cucker-Smale Reward Based on Reinforcement Learning -- Chapter 2. A Task Allocation Algorithm of Loitering Munition Group for Regional Blockade based on Event-driven -- Chapter 3. Research on the Dilemma and Strategy of Training Applied Talents in UAV Specialty -- Chapter 4. Design and Implementation of Terrain following Algorithm for Cruise Missile -- Chapter 5. Task Assignment Algorithm for Unmanned Systems Based on Step Clustering Ant Colony -- Chapter 6. A Neural Network-Based Adaptive Dynamic Surface Control for Nonlinear Systems in Strict-Feedback Form with Input Constraints -- Chapter 7. TAMPI: A Time-Aware Multi-Perspective Interaction Framework for Temporal Knowledge Graph Completion -- Chapter 8. Lightweight Multimodal Fusion for Autonomous Navigation via Deep Reinforcement Learning -- Chapter 9. A Scalable Multi-Agent Reinforcement Learning Approach Based on Value function Decomposition -- Chapter 10. A GeneralizableAutonomous Maneuvering Decision-Making Method for UCAV Air Combat Combining PER-D3QN and Zero-Sum Markov Game, etc.
    Kurzfassung: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1087-4
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  • 49
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume VI (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710997
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VIII, 468 p. 349 illus., 294 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Electrical Engineering 1176
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Kurzfassung: Chapter 1. Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment -- Chapter 2. Design of Dual-rotor Vehicle Controller Based on Auto Disturbance Rejection -- Chapter 3. SLAM Loopback Detection and Down Sampling Optimization in Unattended Patrol Environment -- Chapter 4. OC-DWA: an improved dynamic window approach for USV online planning considering ocean currents -- Chapter 5. A Lightweight RGB-D Image-Based 3D Object Detector for Mobile Robots -- Chapter 6. Adaptive Control of Path Tracking Based on Improved Pure Pursuit Algorithm -- Chapter 7. LuoJia-Explorer: Unmanned Collaborative Localization and Mapping System -- Chapter 8. An effectiveness evaluation methodology of reconnaissance/strike UAV formation based on OODA -- Chapter 9. Fast Autonomous Exploration with Sparse Topological Graphs in Large-Scale Environments -- Chapter 10. LiDAR-based small-sized obstacles detection for mobile robot, etc.
    Kurzfassung: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1099-7
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  • 50
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578700
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXVIII, 462 p. 198 illus., 155 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 201
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Efficient Communication Protocol for Programmable Matter -- IoRT-based Distributed Algorithm for Robust Team Formation and its Application to Smart City Operation -- A WSN and Vision based Energy Efficient and Smart Surveillance System using Computer Vision and AI at Edge -- Mitigating Resource Depletion and Message Sequencing Attacks in SCADA Systems -- API Descriptions for the Web of Things -- SmartDriveAuth: Enhancing Vehicle Security with Continuous Driver Authentication via Wearable PPG Sensors and Deep Learning -- A Vision Transformer Based Indoor Localization Using CSI Signals in IoT Networks -- Deep Reinforcement Learning for VNF Placement and Chaining of Cloud Network Services -- Optimising Water Quality Classification in Aquaculture Using a New Parameter Pre-selection Approach -- Topic Analysis of Japanese Sentences Using Sentence Embeddings -- Performance Improvement of Semantic Search Using Sentence Embeddings by Dimensionality Reduction -- A Fuzzy-based System for Assessment of Performance Error in VANETs -- Carbon Credits Price Prediction Model (CCPPM) -- Experimental Exploration of the Power of Conditional GAN in Image Reconstruction-based Adversarial Attack Defense Strategies -- Framework for Cognitive Self-Healing of Real Broadband Networks -- Honey Bee Inspired Routing Algorithm for Sparse Unstructured P2P Networks.
    Kurzfassung: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57870-0
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    Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 5 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819713134
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 489 p. 191 illus., 148 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 949
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Kurzfassung: Chapter 1: A Structure for Forecasting Stomach Cancer Using Deep Learning and Advanced Tongue Characteristics -- Chapter 2: Smart Rack System Using AI -- Chapter 3: "Enhancing Pneumonia Detection Accuracy through ResNet-Based Deep Learning Models and Ensemble Techniques: A Study Using Chest X-Ray Images" -- Chapter 4: Polisentix : Political Sentiment Analyser -- Chapter 5: An Interactive Smartphone Application to Manage Youth Loneliness -- Chapter 6: The Integral Significance of Data Science in Startup Ecosystems -- Chapter 7: Comparing Object Detection Models for Public Safety -- Chapter 8: Evolution of ChatGPT and different language models: A Review -- Chapter 9: Emotion Detection for the Blind using Deep Learning -- Chapter 10: Impact of Feature Normalization Techniques for Recognition of Speech for Mathematical Expression. etc.
    Kurzfassung: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
    DOI: 10.1007/978-981-97-1313-4
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  • 52
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    Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819713264
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 519 p. 180 illus., 128 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 947
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Kurzfassung: Chapter 1: A Comprehensive Analysis of Machine Learning Models for IDS -- Chapter 2: An Overview of Artificial Intelligence Applications in Cyber Security Domains -- Chapter 3: Enhancing Security in Wireless Communications through Blockchain and Smart Contracts: A Comprehensive Study -- Chapter 4: Racist And Abusive Memes Classification Using Deep Learning Techniques -- Chapter 5: Comparative study of learning effectiveness across NEPs on network fault correlation -- Chapter 6: Securing Networks: A Machine Learning Approach to Intrusion Detection Systems -- Chapter 7: NL2Code: Harnessing Transformers for Automatic Code Generation from Natural Language Descriptions -- Chapter 8: A Comprehensive Survey and Future Standpoints on Big Data Analytics of Mobile Data -- Chapter 9: An approach to detect violations of Social Distancing norms in the public domain -- Chapter 10: AI Art Authenticator: Deep Learning Image Classification. etc.
    Kurzfassung: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
    DOI: 10.1007/978-981-97-1326-4
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  • 53
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    Advanced Computing and Intelligent Technologies : Proceedings of ICACIT 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819719617
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXIII, 643 p. 251 illus., 216 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 958
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Quantitative research.
    Kurzfassung: This book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2023), which is organized by Indira Gandhi National Tribal University, Regional Campus Manipur (IGNTU-RCM), during December 8–9, 2023. It discusses emerging topics pertaining to advanced computing, intelligent technologies and networks including AI and machine learning, data mining, big data analytics, high-performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers an asset for researchers from both academia and industries involved in advanced studies.
    DOI: 10.1007/978-981-97-1961-7
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  • 54
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    Blue Book on AI and Rule of Law in the World (2021) (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990856
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 458 p. 92 illus., 89 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Artificial Intelligence and the Rule of Law
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    Schlagwort(e): Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence. ; Information technology ; Mass media
    Kurzfassung: AI Laws and Policies -- Theoretical Research on AI and the Rule of Law -- Application of AI in the Rule of Law -- Analysis of Al-Related Cases -- Report on the Development of AI and the Rule of Law -- Expert Interviews on Development of AI and the Rule of Law -- Interviews with AI Companies on the Rule of Law.
    Kurzfassung: This book focuses on the development of artificial intelligence and rule of law in the world, by collecting and summarizing the information about the development of artificial intelligence and rule of law in China and the world, covering topics like AI strategy, policy, law, theoretical research and practical application, etc. It makes an in-depth analysis so as to provide an objective, fair and accurate report. The purpose is to promote the study of AI and law, promote the construction of AI and rule of law system and create an AI and rule of law environment. In particular, it aims to play an active role in promoting the establishment of legislative norms, legal systems, policy systems and ethical norms that are compatible with the innovative development of AI, promoting the implementation of a new generation of national AI development strategies, ensuring the safe, reliable, controllable, healthy and sustainable development of AI. It is hoped that this book may provide useful reference for researchers of AI and law.
    DOI: 10.1007/978-981-99-9085-6
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  • 55
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    Artificial Intelligence of Things for Achieving Sustainable Development Goals (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031534331
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIV, 388 p. 105 illus., 92 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes on Data Engineering and Communications Technologies 192
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Environmental sciences ; Engineering
    Kurzfassung: Chapter 1. Reconsidering a Sustainable Future through Artificial Intelligence of Things (AIoT) in the Context of Circular Economy (Georgios Lampropoulos, Harjinder Rahanu, Elli Georgiadou, Dimitrios Siakas, and Kerstin Siakas) -- Chapter 2. The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on achieving Sustainable Development Goals (Hanane Thamik, Juan David Figueroa Cabrera, and Jiang Wu) -- Chapter 3. The role of the Artificial Intelligence of Things in Energy Poverty alleviation (Ascensión López Vargas, Agapito Ledezma-Espino, and Araceli Sanchis-de-Miguel) -- Chapter 4. AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration (Fadele Ayotunde Alaba, Usman Sani, Emmanuel Gbenga Dada, and Baydaa Hashim Mohammed) -- Chapter 5. Achieving SDGs using AI Techniques and Digital Twins for Nuclear Power Plants: A Review (Kousik Barik, Sanjay Misra, and Harald P-J Thunem) -- Chapter 6. Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things towards SDGs (Assunta Di Vaio, Anum Zaffar, and Daniel Balsalobre-Lorente) -- Chapter 7. Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security (Fadele Ayotunde Alaba, Abayomi Jegede, Usman Sani, and Emmanuel Gbenga Dada) -- Chapter 8. AIoT-Enabled Precision Agriculture for Sustainable Crop Disease Management: Advancing SDGs through Graph Attention Neural Networks (Muhammad Bello Kusharki and Bilkisu Larai Muhammad-Bello) -- Chapter 9. Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data (Arudra Vamshikrishnaa, Dharavath Ramesha, Rahul Mishraa, and Nazeeruddin Mojammadb) -- Chapter 10. IoT-Enabled Machine Learning for Enhanced Diagnosis of Diabetes and Heart Disease in Resource-Limited Settings (John Abubakar, Aghedo Emmanuel Odianose, and Omolola Faith Ademola), etc.
    Kurzfassung: This book covers various topics and trends regarding Artificial Intelligence (AI), Internet of Things (IoT), and their applications in society, industry, and environment for achieving Sustainable Development Goals (SDGs) suggested by the United Nations. Additionally, it discusses their advancements and fusion as well as the realization of Artificial Intelligence of Things (AIoT). The book aims to provide an overview and recent research into the fusion, integration, advancements, and impact of these technologies in the context of SDGs achievement. The topics include the applications of AI, IoT, big data, AI-based and IoT-based cloud computing, machine learning and deep learning techniques, and blockchain among others for achieving SDGs. It also presents findings and discussions on potential application domains, addresses open issues and challenges, offers solutions, and provides suggestions for future research for achieving SDGs. The chapters are clustered, according to particular SDGs or areas of focus, into: i) the realization of AIoT for SDGs, ii) the role of AIoT in achieving society and wellbeing-related SDGs, iii) the fulfillment of industrial sectors, infrastructure, and economy-related SDGs through AIoT, and iv) the use of AIoT to aid natural resources and environment-related SDGs. The book assists researchers, practitioners, professionals, and academicians of various scientific fields in exploring and better understanding these state-of-the-art technologies, their advancements, impact, future potentials and benefits, and their role in successfully achieving SDGs. The book: · Offers an in-depth overview of AIoT for achieving SDGs. · Presents the fusion of AI and IoT for bringing a significant change in everyday life and fulfilling SDGs. · Highlights innovative solutions and results of AIoT integration in several domains for achieving SDGs. · Showcases the influence of AIoT on promoting and improving sustainability in the context of SDGs. · Discusses the issues, benefits, solutions, and impact of AIoT in society, industry, and environment for achieving SDGs.
    DOI: 10.1007/978-3-031-53433-1
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  • 56
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    Principle of Criminal Imputation for Negligence Crime Involving Artificial Intelligence (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819707225
    Sprache: Englisch
    Seiten: 1 Online-Ressource(IX, 115 p. 1 illus.)
    Ausgabe: 1st ed. 2024.
    Serie: Artificial Intelligence and the Rule of Law
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    Schlagwort(e): Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Criminal law. ; Artificial intelligence.
    Kurzfassung: Preface -- Chapter 1 Challenge of Criminal Imputation for Negligence Crime Involving AI to the Traditional Criminal Imputation Theory -- Chapter 2 Theoretical Preconditions of Criminal Imputation for Negligence Crime Involving AI -- Chapter 3 Imputation System for Negligence Crime Involving AI -- Chapter 4. Main Conclusions and Future Prospects.
    Kurzfassung: This book provides an in-depth discussion of the theoretical and practical issues of criminal imputation for negligence crime involving artificial intelligence. Accordingly, this study combines the imputation challenges brought about by AI with traditional criminal imputation theory and analyses imputation for negligence crime involving AI from three aspects: the basic principles, structure, and results of imputation for negligence crime involving AI. The traditional theory of imputation is discussed in detail. The readership is a group of people interested in this topic, including, in particular, interested laymen, undergraduate students and postgraduate researchers. The highlights of this book are it identifies the imputation challenges bought about by AI, reveals the theoretical and practical gap in the criminal imputation of negligent crimes involving AI, and provides an in-depth and creative ideas of criminal imputation for the negligent crimes involving AI.
    DOI: 10.1007/978-981-97-0722-5
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  • 57
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    Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819713233
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 490 p. 150 illus., 80 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 946
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Kurzfassung: Chapter 1: YOLOv8: Advancements and Innovations in Object Detection -- Chapter 2: Anxiety, Depression Red Flag Marker in Social Media -- Chapter 3: Object Detection and Tracking Approach for Traffic Monitoring -- Chapter 4: Detection of malnutrition in children using Deep Learning model -- Chapter 5: Multilingual Indian Covid-19 Chatbot -- Chapter 6: Blockchain, IoT and Smart Grids Challenges for Energy Systems -- Chapter 7: IAM Dataset-Based Author Identification via Convolutional Neural Networks -- Chapter 8: Design of low power Booth multiplier with enhance pre-logic mechanism using Verilog -- Chapter 9: Novel Statistical Glaucoma Prediction Algorithm based on Spectral Analysis -- Chapter 10: A Comparative Study of Audio Source Separation Techniques on Indian Classical Music: Performance Evaluation and Analysis. etc.
    Kurzfassung: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
    DOI: 10.1007/978-981-97-1323-3
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  • 58
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    Forthcoming Networks and Sustainability in the AIoT Era : Second International Conference FoNeS-AIoT 2024 - Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031628818
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VIII, 424 p. 212 illus., 173 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1036
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: Analyzing the Economic Viability and Design of Solar Powered Water Pumps for Farming Irrigation Case Study Conducted in Somalia -- Evaluation of No load Losses in the Single sheet Double sheet and Triple sheet Step Lap Joints of the Transformer Core -- Modeling and Simulation of a Hybrid Electrical Grid for Reliability and Power Quality Enchantment -- Lane Segmentation and Turn Prediction Using CNN and SVM Approach -- Internet of Things Data Privacy And Security Based On Blockchain Technology -- Enhancing Biogeographical Ancestry Prediction with Deep Learning A Long Short Term Memory Approach -- Stacking Ensemble for Pill Image Classification.
    Kurzfassung: This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime prediction to cyberbullying detection, from facial recognition to analyzing email spam, it addresses diverse challenges in contemporary society. Aimed at researchers, practitioners, and policymakers, this book equips readers with practical tools to tackle real-world issues using advanced machine learning algorithms. Whether you're a data scientist, law enforcement officer, or urban planner, this book is a valuable resource for implementing predictive models and enhancing public safety measures. It is a comprehensive guide for implementing machine learning solutions across various domains, ensuring optimal performance and reliability. Whether you're delving into IoT security or exploring the potential of AI in urban landscapes, this book provides invaluable insights and tools to navigate the evolving landscape of technology and data science. The book provides a comprehensive overview of the challenges and solutions in contemporary cybersecurity. Through case studies and practical examples, readers gain a deeper understanding of the security concerns surrounding IoT devices and learn how to mitigate risks effectively. The book's interdisciplinary approach caters to a diverse audience, including academics, industry professionals, and government officials, who seek to address the growing cybersecurity threats in IoT environments. Key uses of this book include implementing robust security measures for IoT devices, conducting research on machine learning algorithms for attack detection, and developing policies to enhance cybersecurity in IoT ecosystems. By leveraging advanced machine learning techniques, readers can effectively detect and mitigate cyber threats, ensuring the integrity and reliability of IoT systems. Overall, this book is a valuable resource for anyone involved in designing, implementing, or regulating IoT devices and systems.
    DOI: 10.1007/978-3-031-62881-8
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  • 59
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    Sustainability and Global Challenges : Analysis by Mathematics of Uncertainty (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031617706
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 278 p. 1 illus.)
    Ausgabe: 1st ed. 2024.
    Serie: Intelligent Systems Reference Library 256
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Environmental sciences
    Kurzfassung: 1. Preliminaries -- 2. Sustainability and Artificial Intelligence: Analysis Using Mathematics of Uncertainty -- 3. Sustainable Goals in Combating Human Trafficking: Analysis by Mathematics of Uncertainty -- 4. Climate Change -- 5. Modern Slavery -- 6. Health Status and Psychological Issues of Human Trafficking Victims -- 7. Human Trafficking Routes and Fuzzy Graphs -- 8. Mental Health and Homelessness -- 9. Terrorism: Interpol Global Policing Goals and SDGs -- 10. Global Hunger -- 11. Biodiversity and Extinction -- 12. Global Poverty -- 13. Domestic Violence.
    Kurzfassung: This book focuses on the relationship between Artificial Intelligence (AI) and the Sustainable Development Goals (SDGs). One of the most important issues the world is facing is sustainability. All members of the United Nations adopted Agenda 2030 and the Sustainable Development Goals. Associated with the SDGs are many serious global problems. These problems include climate change, global poverty, global hunger, human trafficking, homelessness, biodiversity, extinction, and terrorism. The author’s purpose is to develop a textbook concerning the SDGs and how they relate to these problems. A recent issue has emerged. That is Artificial Intelligence. AI has tremendous potential to do both good and harm. The book is designed in such a way that it can be used as an undergraduate textbook on sustainability. Consequently, the mathematics involved is kept at a reasonable level. One of the author’s goals is to prepare the reader to further their study of global issues. In particular, to provide them the background needed to examine the three books in the Springer Series Studies in Systems, Decision and Control, volumes 299, 353, and 391. Exercises are provided in the text as well as an instructor's manual. Some topics examined in the book include country achievement of the SDGs, the relationship between human trafficking and the SDGs, climate change, and global problems mentioned above.
    DOI: 10.1007/978-3-031-61770-6
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  • 60
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    Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031630538
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 297 p. 83 illus., 39 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1163
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: -- 1. Introduction to Metaheuristic methods. -- 2. A novel method for initializing populations using the Metropolis-Hastings (MH) technique. -- 3. A measure of diversity for metaheuristic algorithms employing population-based approaches. -- 4. Population Control in Metaheuristic Algorithms: Can Fewer Be Better?. -- 5. Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses. -- 6. Utilizing the Moth Swarm Algorithm to Improve Image Contrast. -- 7. Enhancing Anisotropic Diffusion Filtering via Multi-Objective Optimization. -- 8. Fractional Fuzzy Controller Calibration Using metaheuristic Techniques. -- 9. Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?.
    Kurzfassung: This book encompasses three distinct yet interconnected objectives. Firstly, it aims to present and elucidate novel metaheuristic algorithms that feature innovative search mechanisms, setting them apart from conventional metaheuristic methods. Secondly, this book endeavors to systematically assess the performance of well-established algorithms across a spectrum of intricate and real-world problems. Finally, this book serves as a vital resource for the analysis and evaluation of metaheuristic algorithms. It provides a foundational framework for assessing their performance, particularly in terms of the balance between exploration and exploitation, as well as their capacity to obtain optimal solutions. Collectively, these objectives contribute to advancing our understanding of metaheuristic methods and their applicability in addressing diverse and demanding optimization tasks. The materials were compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Additionally, engineering practitioners who are not familiar with metaheuristic computation concepts will appreciate that the techniques discussed are beyond simple theoretical tools because they have been adapted to solve significant problems that commonly arise in engineering areas.
    DOI: 10.1007/978-3-031-63053-8
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  • 61
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    Proceedings of the Fifth International Conference on Trends in Computational and Cognitive Engineering : TCCE 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819719235
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXX, 647 p. 311 illus., 234 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 961
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Computer vision. ; Internet of things.
    Kurzfassung: CDSER: Sentiment Analysis for Product Selection to Enhance E-commerce Review System -- Deep Learning Approach to Compose Short Stories Based on Online Hospital Reviews of Tirunelveli Region -- Novel Insights into SAR Analysis of Human Head at 5G mmWave Frequencies -- Music Emotion Recognition for Intelligent and Efficient Recommendation Systems -- A New Time-Domain Diffraction Coefficient for Dielectric Obstacles -- BScFilter: A Deep Learning Approach for Sports Comments Filtering in a Resource Constraint Language -- HABE Secure Access at Cloud-Healthcare Database -- Effective Performance of Low-resource Bangla Fake News Detection using Deep Convolutional Neural Networks -- Effect of Eulers Number on Signature Verification System -- The Prediction of Diabetes Using Machine Learning in the Health Care System -- Multichannel Deep Learning Network based Automatic Modulation Classification in Presence Of Symmetric Alpha Stable Distributed Impulsive Noise -- Enhanced Security in e-Tendering System using Blockchain with Efficient Smart Contracts and Hybrid Cryptography -- Enhancing Scalability in Sharding Blockchain via Interoperability Protocol -- Development of Blockchain-Enabled E-Healthcare Appointment System -- A Novel Approach for Object Recognition in Hazy Scenes: Integrating YOLOv7 Architecture with Boundary Constrained Dehazing -- Improving file storage security by Authenticating the Cipher Text -- Malicious Activity Monitoring and Preventing in WSN using Network Screening -- Dynamic Multihead Attention for Enhancing Neural Machine Translation Performance -- An Active Wave Filter Design Employing Current Controlled Differential Difference Current Conveyor -- Scratch Vision Transformer Model for Diagnosis Grape Leaf Disease -- Multilevel association mining with particle swarm optimization: a comprehensive approach for high-utility itemset discovery -- Use of deep Learning to handle early-stage Business Data -- An efficient text-based document categorization with k-means and cuckoo search optimization -- An efficient text-based document categorization with k-means and cuckoo search optimization -- An optical quantum computer that uses both quantum logic gate and quantum annealing.
    Kurzfassung: This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce and industry. It is a collection of selected conference papers presented at the 5th International Conference on Trends in Cognitive Computation Engineering (TCCE 2023), organized by Pranveer Singh Institute of Technology, Kanpur Uttar Pradesh, India in collaboration with IIOIR, Shimla, Himachal Pradesh, India, during 24 – 25 November 2023. The book is divided into two volumes, and it shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.
    DOI: 10.1007/978-981-97-1923-5
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    Digital Technologies and Distributed Registries for Sustainable Development : Legal Challenges (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031510670
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 185 p.)
    Ausgabe: 1st ed. 2024.
    Serie: Law, Governance and Technology Series 64
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    Schlagwort(e): Information technology ; Mass media ; Artificial intelligence. ; Sustainability.
    Kurzfassung: Part I Artificial Intelligence and Sustainable Development -- An Assessment of the Role of Artificial Intelligence on Sustainable Development Goals -- Sustainable Growth and the Role of Artificial Intelligence in Improving the Circular Economy -- Part II Blockchain for Sustainable Development: the Potential of Tokenization -- Token, Tokenization and Sustainable Development -- Tokenization of the creative industries: the intersection between emerging technologies and sustainability -- Part III The Green Digital Transformation: Legal Issues -- The Importance of a Global Legal Framework and Digital Technologies in Combating Climate Change -- Green Finance in the EU and Russia: Legal Frameworks and Opportunities of Digitalisation -- Part IV Human Rights and Information Communication Technologies -- Fast Internet as a Prerequisite for Sustainable and Resilient Development: Network expansion measures and extension of user rights -- The Right to Education in a Digital Era -- Part V Challenges in achieving SDG 16 -- Corporations and the global backlash over privacy: too big to regulate? -- E-justice in Russia.
    Kurzfassung: Digital technologies are playing a growing role in achieving the UN’s Sustainable Development Goals (SDGs). They are both a tool both for achieving developmental outcomes and a driver of change. However, the use of digital technologies also entails certain legal challenges. The purpose of this book is to highlight these challenges and suggest solutions. Written by leading researchers from six countries, who analyse legislative solutions from around the world, it includes chapters on the benefits of asset tokenisation, the role of artificial intelligence in achieving sustainable development, legal issues in the green digital transformation, and human rights in a digital world. Through a mixture of fundamental analysis and real-world examples, readers will learn how emerging digital technologies can help achieve various SDGs and what legal challenges arise from their application. This important resource will be of interest to academics, government and legal officials whose work involves the legal regulation of the introduction and use of new digital technologies, as well as sustainable development challenges. Legal experts engaged in the design of new legal infrastructures during the current phase of digital, climatic and social transformation in private, public and social organizations will also find it useful.
    DOI: 10.1007/978-3-031-51067-0
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    AI Technologies and Virtual Reality : Proceedings of 7th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2023) (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990184
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVI, 454 p. 193 illus., 165 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Smart Innovation, Systems and Technologies 382
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Virtual reality. ; Augmented reality. ; Artificial intelligence
    Kurzfassung: A Model for Predicting Crime Risk -- Early Detection of Red Palm Weevil in Date Palm Trees using Machine Learning Approaches -- Unstructured text classification using NLP and LSTM algorithms -- Regression Based Model for Prediction of Road Traffic Congestion: A Case Study of Janpath Segment In Bhubaneswar City -- Automated Landmark Detection for AR Based Craniofacial Surgical Assistance System -- The Influence of Eye-Height and Body Posture on Size Perception in Virtual Reality -- The Effect of Distance on Audiovisual Temporal Integration in an Indoor Virtual Environment -- Inside the Black Box: Modeling a Cybersickness Dose Value through Built-In Sensors of Head-Mounted Displays -- Measuring Audio-Visual Latencies in Virtual Reality Systems -- Development of Virtual CNC Turning Application -- Enhancing Elderly Leisure Experience through Innovative VTuber Interaction in VR with ChatGPT -- Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User-Centric Evaluation of Immersion and Realism -- Application of Lightweight Image Super-Resolution Technology in Smart Grid Management System -- Research on Portable Intelligent System Based on Lightweight Super-resolved Image Recognition Algorithm -- Research on Intelligent Fault Identification Method Based on UAV Power Inspection -- Lightweight Real-time Intelligent Inspection System for Digital Transmission Security -- Boosting Video Streaming Efficiency through DQN Machine Learning algorithm-based Resource Allocation -- Locomotion in Response of Static Pedestrians in a Mixed Reality Environment -- Neural Responses to Altered Visual Feedback in Computerized Interfaces Driven by Force or Motion Control -- KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art -- A Study on the Integration of BIM and Mixed Reality in Steel-structure Maintenance -- Pathway-based Analysis using SVM-RFE for Gene Selection and Classification -- An AI-Assisted Skincare Routine Recommendation System in XR -- TheRole of Artificial Intelligence in Improving Failure Mode and Effects Analysis (FMEA) Efficiency in Construction Safety Management -- Rescue Decision Support for Marine Wrecked Ships Based on Multi-agent Modeling and Simulation -- Development of an AI-Powered Interactive Hand Rehabilitation System -- Formalization and Verification of Fuzzy Approximate Reasoning by Mizar.
    Kurzfassung: This book gathers a collection of selected works and new research results of scholars and graduate students presented at the 7th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2023) held in Kumamoto, Japan during July 21-23, 2023. The focus of the book is interdisciplinary in nature and includes research on all aspects of artificial intelligence and virtual reality, from fundamental development to the applied system. The book covers topics such as system techniques, performance, and implementation; content creation and modelling; cognitive aspects, perception, user behaviour; AI technologies; interactions, interactive and responsive environments; AI/VR applications and case studies.
    DOI: 10.1007/978-981-99-9018-4
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  • 64
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    Artificial Intelligence, Data Science and Applications : ICAISE’2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031484650
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 571 p. 256 illus., 202 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 837
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    Schlagwort(e): Computational intelligence. ; Engineering ; Artificial intelligence.
    Kurzfassung: Sustainability in Internet of Things: Insights & Scope -- Machine Learning in Finance Case of Credit Scoring -- Prediction of coefficient of friction and wear rate of Stellite 6 coatings manufactured by LMD using Machine Learning -- Predicting Future Sales: A Machine Learning Algorithm Showdown -- A detailed study on the Game of Life -- A decision-making model for selecting solutions and improvement actions using fuzzy logic -- Sensored Brushless DC motor control based on an Artificial Neural Network controller -- A Machine Learning Based Approach to Analyze the Relationship Between Process Variables and Process Alarms -- Improving the Resolution of Images using Super-Resolution Generative Adversarial Networks -- Three Levels of Security Including Scrambling, Encryption and Embedding Data as Row in Cover Image with DNA Reference Sequence.
    Kurzfassung: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
    DOI: 10.1007/978-3-031-48465-0
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    Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication : MDCWC 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479427
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXIII, 631 p. 340 illus., 252 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Signals and Communication Technology
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Wireless communication systems. ; Mobile communication systems.
    Kurzfassung: Part 1: Machine Learning, Deep Learning and Computational Intelligence -- Chapter 1. A novel hierarchical clustering technique to analyse style and content factorization during image recognition -- Chapter 2. Exploring Model-Level Transfer Learning to Improve the Recognition of Sinhala Speech -- Chapter 3. Metaheuristics Feature Selection Algorithms for Identification and Classification of Mango Pests Diseases -- Chapter 4. An Integrated Optimization Technique with SVM for Feature Selection -- Chapter 5. A Constant Binomial Coefficient Difference Equation Based FIR Predictor System for Signal Processing Data mining -- Chapter 6. Generating Synthetic Text Data for Improving Class Balance in Personality Prediction -- Chapter 7. CPSNet: Channel Pixel Spatial Feature Fusion Network for Image Dehazing -- Chapter 8. ATCBBC: A novel optimizer for neural network Architectures -- Chapter 9. Application of Dempster-Shafer Theory in Sensor Data Fusion -- Chapter 10.Examining Ant Colony Algorithm with The Cat Swarm Algorithm to Improve Energy Efficiency -- Chapter 11. Machine Learning based Online Visual Tracking with Multi-featured Adaptive Kernal Correlation filter -- Part 2: Wireless Communication -- Chapter 12. Integrating long-short term memory and particle swarm optimization for intrusion detection in 5G technologies -- Chapter 13. Performance Analysis of Polar Decoding Using Linear Code Mapping with Feedback Based Ann Architecture -- Chapter 14. Packet Classification Using Improved Random Forest Algorithm -- Chapter 15. A Machine Learning Perspective of optimal data transmission in Wireless Sensor Networks (WSN) -- Chapter 16. Blockchain and IPFS based solution for KYC -- Chapter 17. Analysis and Comparison of BER Performance of OFDM-IM under various fading channels using Conventional Detectors -- Chapter 18. A Survey of Non-Orthogonal Multiple Access for Internet of Things and Future Wireless Networks -- Chapter 19. Improved 3D Wireless Indoor Localization with Deep Learning Algorithms -- Chapter 20. Implementing Machine Learning for design and evaluation of Antenna Parameters -- Chapter 21. A MIMO dual mode homogenous OFDM IM system for next-generation communications -- Chapter 22. Probability Boosted Regression for Intrusion Detection in Cyber active Space -- Part 3: Mobile data application -- Chapter 23. Surface Water-body Extraction for Landsat-8 (OLI) Imagery using Water-Indices Methods and SCM Techniques -- Chapter 24. Automated Age-related Macular Degeneration Diagnosis in Retinal Fundus Images via ViT -- Chapter 25. Traffic Light Simulation Using ALP -- Chapter 26. DNN-ILD: A Transfer Learning-based Deep Neural Network for Automated Classification of Interstitial Lung Disease from CT Images -- Chapter 27. Image Manipulation Detection using Augmentation and Convolutional Neural Networks -- Chapter 28. Smart Women Safety Solution with Alert System Using Machine Learning Approach -- Chapter 29. Cyberbullying Detection Using BILSTM Model -- Chapter 30. Smart Agriculture using Internet of Things -- Chapter 31. Breast Cancer Detection from Mammograms using Deep Learning and Bio-Inspired Optimization Algorithm -- Chapter 32. Detection of Echinoderms Underwater using Deep Learning Network -- Chapter 33. Malaria Parasite Detection Using Deep Learning -- Chapter 34. FiltDeepNet: Architecture for Covid Detection based on Chest X-ray Images -- Chapter 35. Novel approaches to Automatic License Plate Reading (ALPR) -- Chapter 36. Crop Prediction Expert System with Ensemble Machine Learning Technique -- Chapter 37. A Comparative Analysis of Single Image-Based Face Morphing Attack Detection -- Chapter 38. Classifiers For Sentiment Analysis of Youtube Comments - A Comparative Study -- Chapter 39. Traffic Monitoring System Detecting Overspeed and Accidents from Video Input using OpenCV and Digital Image Processing -- Chapter 40. An experimental comparative analysis of human abnormal action identification on “SAIAZ” video dataset using SVM, ResNet50, and LSTM model -- Chapter 41. Comparative study on malicious URL using classifiers and boosting algorithms -- Chapter 42. Automation in Natural Rubber Latex Harvesting Field: A Review -- Chapter 43. Feature Selection based Machine Learning Model for Malware Detection -- Chapter 44. Application of Machine learning algorithm for prediction of Diabetes and Heart diseases -- Chapter 45. Damage Detection on Historical Structure using Image Processing -- Chapter 46. Eye Disease Classification Using VGG-19 Architecture -- Chapter 47. Automatic Photo Enhancer Using Machine Learning and Deep Learning with Python -- Chapter 48. Robust Touch Free Palm Vein Sensor Authentication System -- Chapter 49. An Effective Machine Learning-based Malware Detection Approach -- Chapter 50. Exploring The Performance of Various Classification Algorithms for Masked Face Recognition Using Cnn Based Features -- Chapter 51. Chess Game using Assembly Language Programming -- Chapter 52. Deep Artificial neural Network for Software Effort Estimation -- Chapter 53. ‘Legal Owl’, An Application for Machine Generated Legal Aid Using NLP.
    Kurzfassung: This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held during June 22-24th, 2023, at the National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine learning, Deep learning and Computational intelligence algorithms (b) Wireless communication systems and (c) Mobile data applications. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry. Presents research works in various fields of computational intelligence and machine learning; Discusses results of MDCWC 2023 held at National Institute of Technology Tiruchirappalli, India; Serves as a reference for researchers and practitioners in academia and industry.
    DOI: 10.1007/978-3-031-47942-7
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume II (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710836
    Sprache: Englisch
    Seiten: 1 Online-Ressource(IX, 579 p. 309 illus., 246 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Electrical Engineering 1171
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Kurzfassung: Chapter 1. Robust Neural Control for Distributed Formation of UAVs under Uncertain Disturbances -- Chapter 2. Conception of Foreign Heterogeneous Electronic Warfare UAV Cross Domain Cooperative Operations -- Chapter 3. A Denoising Algorithm of Star Map Based on Wavelet Transform and Double-window Combined Filtering -- Chapter 4. UAV Path Planning under Multiple Threats Based on Improved Sparrow Search -- Chapter 5. Distance-constrained Multi-agent Formation Sliding Mode Control under External Disturbances -- Chapter 6. A Multi-UAV Pursuit Strategy Based on Two-Stage Collaborative Search -- Chapter 7. Multi Unmanned Aerial Vehicle Collaborative Hunting Task Allocation Method by Improved Consensus-based Bundle Algorithm -- Chapter 8. Integrated Morphing Strategy and Trajectory Optimization of a Morphing Waverider Based on An Improved Artificial Bee Colony Algorithm -- Chapter 9. Consensus of discrete-time multi-agent systems with unknown but bounded measurement noises -- Chapter 10. Rotary UAVpath planning in rough terrain based on multiple objective SA-PSO optimization, etc.
    Kurzfassung: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1083-6
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    AI Approaches for Designing and Evaluating Interactive Intelligent Systems : Selected and Revised Papers from RoCHI 2022 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031539572
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 203 p. 52 illus., 37 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Learning and Analytics in Intelligent Systems 36
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    Schlagwort(e): Computational intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Artificial intelligence.
    Kurzfassung: Designing, building, and evaluating Interactive and Intelligent Systems (IIS) has highly impacted the progress of Artificial Intelligence (AI) techniques due to advancements in the fields of Deep Learning (DL) and Natural Language Processing (NLP). This book presents in a structured way several practical use cases of the interplay between IIS and DL/NLP, from cognitive assistants, adaptive navigation systems, virtual reality, offensive comment and cyberbullying detection, 3D modelling, and driving behaviour detection. The convergence of AI and Human-Computer Interaction (HCI) has been proven to foster the IIS development that nowadays represents the most used context by actively integrating AI techniques in merely any layer of modern applications. The main goal of this book is to provide a practical reference with a rich set of approaches and applications consisting of selected and revised papers from the International Conference on Human-Computer Interaction (RoCHI) 2022 that was held on 6-7 October 2022 at the University of Craiova, Romania. The book addresses researchers and practitioners with experience in IIS and AI (mainly DL and NLP) who want to study successfully developed workflows and applications that may be useful in their attempts to tackle issues from their contexts. Although the book nicely integrates concepts from various areas, each chapter may be considered a standalone topic with its research issue, proposed approach, experimental results, and discussions.
    DOI: 10.1007/978-3-031-53957-2
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    New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031537134
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 210 p. 73 illus., 61 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1146
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Towards Interval Type-3 Fuzzy Parameter Adaptation in Metaheuristics -- An Application of Controlled Sets in Medical Diagnosis -- Dynamic Adjustment of an Artificial Fish Swarm Algorithm using Shadowed Type-2 Fuzzy Logic for Enhancing Benchmark Function Optimization -- α-Interval Valued Fuzzy Sets and α-Interval Valued Fuzzy Subgroups -- Design of a Fuzzy PID controller for the balancing problem of a Quadruped Robot.
    Kurzfassung: This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new directions on the theoretical developments of fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are offered. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a set of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also some papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.
    DOI: 10.1007/978-3-031-53713-4
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    AI and Neuro-Degenerative Diseases : Insights and Solutions (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031531484
    Sprache: Englisch
    Seiten: 1 Online-Ressource(VI, 181 p. 35 illus., 31 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1131
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    Schlagwort(e): Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Kurzfassung: 1. Demystifying: The Role of Artificial Intelligence in Neurodegenerative Diseases -- 2. Role Of Artificial Intelligence and Internet of Things in Neurodegenerative Diseases -- 3. Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases -- 4. Clinical Genomics to Drug Discovery Using Machine Learning for Neurodegenerative disorders: A Future Perspective -- 5. Amyotrophic Lateral Sclerosis (ALS) Monitoring using Explainable AI -- 6. Prevalence of Dementia in India -- 7. Exploring AI's Role in Managing Neurodegenerative Disorders: Possibilities and Hurdles -- 8. Artificial Intelligence in Neuro Degenerative Diseases: Opportunities and Challenges -- 9. Ethical considerations: Case Scenarios.
    Kurzfassung: This book explores the current state of healthcare practice and provides a roadmap for harnessing artificial intelligence (AI) and other modern cognitive technologies for neurogenerative diseases. The main goal of this book is to look at how these techniques can be used to classify patients with neurodegenerative diseases by extracting data from multiple modalities. It demonstrates that the growing development of computer-aided diagnosis systems has a lot of potential to help with the diagnostic process. It offers an analysis of the prospective and perils in implementing such state of the art. Progressive brain disorders with a high prevalence in the general population include Parkinson's disease, Alzheimer's disease and other types of dementia, Huntington's disease, and motor neuron disease. Worldwide, it is estimated that 33 million people have Alzheimer's disease, and 10 million people have Parkinson's disease. The global health economy is significantly impacted by these disorders, which affect both the patient and the caregivers. Various diagnostic techniques are used for differential diagnoses, such as brain imaging, EEG analysis, molecular analysis, and cognitive, psychological, and physical examination. The book aims to develop effective treatments, enhance patient quality of life, and extend life expectancy. It focuses on novel artificial intelligence approaches to clarify the pathogenesis of neurodegenerative disorders and provide early diagnosis. The authors compile recent developments based on machine learning and deep learning techniques to diagnose neurodegenerative diseases using imaging, genetic, and clinical data. The authors support initiatives and methods that aim to improve the application of algorithms in diagnostic practice.
    DOI: 10.1007/978-3-031-53148-4
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    Proceedings of the International Conference on Internet of Everything and Quantum Information Processing (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031619298
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXII, 224 p. 117 illus., 104 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1029
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: This book constitutes the Proceedings of the International Conference on Internet of Everything and Quantum Information Processing (IEQIP-2023), held on 24–25 November 2023 in Andhra Pradesh, India. This edition was organized in hybrid mode by the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, and sponsored by the Department of Science and Technology, India. The Internet of Things (IoT) and Quantum Computing are technological phenomena that are shaping businesses and industries. Moreover, integrating IoT and Quantum Computing solutions evolves ecosystems to offer optimum commercial practices. The emergence of these two phenomena offers revolutionary advancements. Further, Quantum Computing introduces avant-garde encryption algorithms for resilient security solutions in IoT systems. Papers presented at this conference showed how the Internet of Everything (IoE) combines sensing, computation, information extraction, and communication functionalities together in a device. IoE allows different electronic devices with different capabilities to sense the environment and to communicate for data exchange. Further, the challenge now is to identify, monitor, and ensure quality in IoT security. Moreover, there is a significant rise in data and information transfer due to a rise in the number of devices. Hence, there is a requirement for responsive, scalable, analytical, and efficient solutions. The conference papers included in this book contain topics in the following areas of research: · Artificial Intelligence · Quantum Computing · Internet of Things, Cloud Computing, and Data Science · Machine learning · Deep learning · Image, text, and signal processing · Disruptive technologies. This book provides helpful information to professors, researchers, and graduate students in the area of Quantum Computing and IoT, and all find this collection of papers inspiring, informative, and valuable.
    DOI: 10.1007/978-3-031-61929-8
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    Intelligent 3D Technologies and Augmented Reality : Proceedings of the Fifth International Conference on 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819751846
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 334 p. 117 illus., 95 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Smart Innovation, Systems and Technologies 401
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Multimedia systems.
    Kurzfassung: 1. Virtual reality image generation and enhancement based on real-time model simplification -- 2. Deep Landscape Design Evaluation System with Multi-scale Visual Attention Mechanism -- 3. The Role and Effect of Deep Learning in Landscape Design Innovation -- 4. Application of 3D Image Technology and Deep Learning in Landscape Design -- 5. The Influence of University Yoga Course Based on VR Technology on university students' Physical Fitness and Special Sports Skills -- 6. Enhancing Mobile Robot Path Planning through Advanced Deep Reinforcement Learning -- 7. Innovative Application of VR Technology in Ceramic Art Design Exhibition -- 8. Deep Learning-based Species Classification using Joint ResNet and Data Augmentation -- 9. Simulation and Application of Digital Display Model Based on Computer Vision and Virtual Reality -- 10. Chinese Image Description Generation Model Based on Recurrent Fusion Encoding.
    Kurzfassung: This book presents high-quality research in the field of 3D imaging technology. The fifth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first four editions of the conference to provide a wide scientific forum for researchers, academia, and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in two volumes. The main topics of the papers comprise famous trends such as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms, and technologies. The second volume is about computing and information technologies, computer images, and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.
    DOI: 10.1007/978-981-97-5184-6
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    Digital Technologies and Applications : Proceedings of ICDTA'24, Benguerir, Morocco, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031686535
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVI, 573 p. 243 illus., 181 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1099
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    Schlagwort(e): Computational intelligence. ; Engineering ; Artificial intelligence.
    Kurzfassung: From Data to Decision Exploring Machine Learning's Impact on Shaping Smart Cities -- Pre service elementary teachers attitudes toward the use of mobile learning in elementary science education -- Bibliometric analysis of Artificial Intelligence applications in asset pricing -- Artificial neural network for Extraction and analysis of consumer opinions in tourism -- Dynamic Computing of Discrete Tchebichef Polynomials -- Is artificial intelligence a learning material in higher education Perception using artificial intelligence among pre service teachers -- MOERID Design and Implementation of a GPT 3 Based Generative Chatbot for Personalized Open Educational Resource Recommendations in Teaching -- A new multi objective optimization model for optimal configuration of CNNs -- Educational Assignment Sources Data Collection Challenges -- Comparative Analysis of Multiclass Classification Machine Learning Models for Cybersecurity Intrusion Detection.
    Kurzfassung: This book presents volume 2 of selected research papers presented at the fourth International Conference on Digital Technologies and Applications (ICDTA’24). Highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of Things, embedded systems, chatbot, network technology, digital transformation and their applications in several areas as Industry 4.0, sustainability, energy transition, and healthcare, the book encourages and inspires researchers, industry professionals, and policymakers to put these methods into practice.
    DOI: 10.1007/978-3-031-68653-5
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    40 Years of European Digital Policies : Forgotten Lessons (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031616419
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXIII, 187 p.)
    Ausgabe: 1st ed. 2024.
    Serie: Professional Practice in Governance and Public Organizations
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    Schlagwort(e): Political science. ; Europe ; Economic policy. ; Public administration. ; Information technology ; Mass media ; Artificial intelligence.
    Kurzfassung: Chapter 1. The Beginning -- Chapter 2. The Information Society -- Chapter 3. Preparing for the Internet Economy -- Chapter 4. The Lisbon Agenda -- Chapter 5. Reform of the Reform Agenda -- Chapter 6. A Digital Agenda -- Chapter 7. A Digital Single Market -- Chapter 8. The age of artificial intelligence -- Chapter 9. Seeking Digital Sovereignty -- Chapter 10. Gigabit Connectivity -- Chapter 11. Epilogue: Aspirations and Reality.
    Kurzfassung: Written by a seasoned European Commission official and industry expert with over 30 years of experience, this book invites you to embark on a journey through Europe's digital evolution. It provides an insightful guide to the policies that have positioned the EU as a catalyst for Europe’s digital transformation. The book serves as a historical narrative and an indispensable resource for policymakers and academics alike. Readers will learn from past triumphs and pitfalls to forge a path towards sustainable growth, innovation, and entrepreneurship. Presenting the rationale behind key policy decisions, the author unveils the dynamics shaping Europe's digital landscape. From pivotal moments to technological leaps, the book illustrates how the process of European integration has increasingly empowered policymakers to shape outcomes. Understanding this interplay between technology and policy is crucial for grasping the complexities of digital policymaking. Accessible to all, this book enhances technical explanations with legal and economic insights. By doing so, it enables readers to understand the nuances of digital policymaking and to envision a future for a digitally integrated Europe.
    DOI: 10.1007/978-3-031-61641-9
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    Business Development via AI and Digitalization : Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031621062
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 1140 p. 158 illus., 120 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Systems, Decision and Control 537
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    Schlagwort(e): Computational intelligence. ; Engineering mathematics. ; Artificial intelligence.
    Kurzfassung: -- Part 1. Business Digitalization and Sustainability. -- 1. The Impact of Digitalization on Sustainability in the Banking Sector: Case Study from the GCC Countries. -- 2. The Impact of Environment, Social, Governance and Foreign Ownership on Value of The Firm in Case Indonesia. -- 3. What motivates entrepreneurs to achieve sustainability development goals (SDGs)? : A literature review. -- 4. SWOT Analysis for Small-Scale Business Sustainability: Proposing a Digital Marketing Approach for a Flower Market Center in Indonesia. -- 5. Role of Fintech as an enabler to fulfill HR requirements and attain Sustainability. -- 6. Using Data-Base Deep Learning Artificial Intelligence in Leak Detection for Sustainable Water Resources Management. -- 7. Renewable energy and sustainable development: the case of Saudi Arabia. -- 8. Food Economies Engendered Ghost Kitchens in the Digital Age. -- 9. A scoping review of Corporate Social Responsibility (CSR) in project management through a sustainability perspective. -- 10. Digital Innovation, Social Entrepreneurship and Global Partnership for Sustainable Development: Leaders International as a Case. -- etc.
    Kurzfassung: This book offers a fresh approach to harnessing the power of artificial intelligence and digital technologies to drive growth and success. With a wide-ranging scope that covers various industries and sectors, this book provides invaluable insights and practical guidance for individuals and organizations seeking to thrive in a rapidly evolving business landscape. Designed for business professionals, entrepreneurs, and marketing enthusiasts, this book unlocks the potential of AI and digitalization, offering key strategies and real-world examples to transform your business and stay ahead of the competition. Whether you're looking to optimize customer experiences, leverage data analytics, or streamline operations, this book is your ultimate resource for achieving sustainable business development through cutting-edge technologies.
    DOI: 10.1007/978-3-031-62106-2
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    Intelligent Technologies : Concepts, Applications, and Future Directions, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819752041
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 204 p. 88 illus., 62 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Computational Intelligence 1167
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Cloud Computing. ; Wireless communication systems. ; Mobile communication systems.
    Kurzfassung: Enhancing Healthcare with Optimized Computational Models for Disease Diagnosis Using Gene Expression Dataset -- A Unified Deep Learning Framework for Sentiment Analysis of Reviews -- An Efficient Infectious Disease Detection in Plants Using Deep Learning -- Analysis of Cardiovascular Diseases prediction using various Machine Learning and Deep Learning algorithms -- Identifying Humans through Gait Features.
    Kurzfassung: This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at third PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.
    DOI: 10.1007/978-981-97-5204-1
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    Innovations and Advances in Cognitive Systems : ICIACS 2024, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
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    ISBN: 9783031691973
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 503 p. 320 illus., 273 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Information Systems Engineering and Management 15
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: This book is a collection of carefully selected quality research contributions that report the advances in Artificial Intelligence (AI). Composed of 37 individual research chapters, this book explores how AI is transforming health care, agriculture, security, image processing, and more to describe how artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies improve patient care, enhance agriculture, develop smarter transportation systems, and automate tasks across industries. This book is for researchers, professionals, and enthusiasts who want to understand the future of AI and its potential applications. It also serves as a valuable resource for professionals who are seeking to understand how AI will impact their industry, or tech enthusiasts captivated by the potential of this transformative technology.
    DOI: 10.1007/978-3-031-69197-3
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    Intelligent Systems and Applications : Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031664281
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 741 p. 247 illus., 205 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1066
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    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: Patterns in Human Activity Recognition Through Machine Learning Analysis Towards 6G Applications -- Gamified Chatbot Management Process: A Way to Build Gamified Chatbots -- Mutual Learning for News Classification.
    Kurzfassung: This volume is a collection of meticulously crafted, insightful, and state-of-the-art papers presented at the Intelligent Systems Conference 2024, held in Amsterdam, The Netherlands, on 5-6 September 2024. The conference received an overwhelming response, with a total of 535 submissions. After a rigorous double-blind peer review process, 181 papers were selected for presentation. These papers span a wide range of scientific topics, including Artificial Intelligence, Computer Vision, Robotics, Intelligent Systems, and more. We hope that readers find this volume both interesting and valuable. Furthermore, we expect that the conference and its proceedings will inspire further research and technological advancements in these critical areas of study. Thank you for engaging with this collection of works from the Intelligent Systems Conference 2024. Your interest and support contribute significantly to the ongoing progress and innovation in the field of intelligent systems.
    DOI: 10.1007/978-3-031-66428-1
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    Healthcare Industry Assessment: Analyzing Risks, Security, and Reliability (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031654343
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 365 p. 116 illus., 103 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Engineering Cyber-Physical Systems and Critical Infrastructures 11
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    Schlagwort(e): Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence. ; Biomedical engineering.
    Kurzfassung: Introduction to Security Risk Assessment in Medical and Healthcare Industry -- Identifying the Risk in Lie Detection for Assessing Guilty and Innocent Subjects for Healthcare Applications -- Building Trust The Foundations of Reliability in Healthcare -- Predictive Modelling to Identify Syndrome Patterns -- Advancing Healthcare Security: Exploring Applications, Challenges, and Future Research Paths in Healthcare 5.0 -- The Impact of Machine Learning on Chronic Kidney Disease Analysis and Insights -- Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry Lensing Confidentiality of Patient’s Information and Personal Data in Legal Ethical Landscapes Projecting Futuristic Dimensions -- Legal and Regulatory Consideration in Healthcare Industry of India -- Smart Health Revolution Exploring Artificial Intelligence of Internet of Medical Things -- IoTs based Wearable Health Monitoring through Wireless Body Area Networks -- Revolutionizing Healthcare Telemedicine and Remote Diagnostics in the Era of Digital Health -- Wearable Devices A New Dimension in Healthcare -- Operational Challenges in Modern Business Evolution in Healthcare Technology Startups -- Mathematical Framework for Class Self-correction through Reverse Validation in Hierarchical Classification -- Addressing the Emerging Healthcare Environment Risk Assessment for Healthcare 5.0.
    Kurzfassung: This book caters to a wide range of readers, including professionals in the healthcare and IT sectors, as well as security practitioners. This resource provides valuable perspectives on the risks and difficulties currently faced by the healthcare industry and presents practical recommendations for effectively managing these risks and enhancing security and reliability. This book is beneficial for anyone seeking to enhance their understanding of the risks, security, and reliability challenges encountered by the healthcare industry. The provided information offers a comprehensive overview of the issues at hand and provides recommendations for mitigating risks and enhancing security and stability.
    DOI: 10.1007/978-3-031-65434-3
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    Recent Advances on Soft Computing and Data Mining : Proceedings of the Sixth International Conference on Soft Computing and Data Mining (SCDM 2024), August 21-22, 2024 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031669651
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 435 p. 192 illus., 140 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1078
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Engineering ; Artificial intelligence.
    Kurzfassung: This book explores methods for leveraging data to create innovative solutions that offer significant and meaningful value. It provides practical insights into the concepts and techniques essential for maximizing the outcomes of large-scale research and data mining projects. Readers are guided through analytical thinking processes, addressing challenges in deciphering complex data systems and deriving commercial value from the data. Soft computing and data mining, also known as data-driven science, encompass a diverse range of interdisciplinary scientific methods and processes. The proceedings of "Recent Advances on Soft Computing and Data Mining" provide comprehensive knowledge to address various challenges encountered in complex systems. By integrating practices and applications from both domains, it offers a robust framework for tackling these issues. To excel in data-driven ecosystems, researchers, data analysts, and practitioners must carefully select the most suitable approaches and tools. Understanding the design choices and options available is essential for appreciating the underlying concepts, tools, and techniques utilized in these endeavors.
    DOI: 10.1007/978-3-031-66965-1
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  • 80
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    Universal Threats in Expert Applications and Solutions : Proceedings of 3rd UNI-TEAS 2024, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819738106
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXII, 507 p. 303 illus., 213 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1006
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Data protection. ; Artificial intelligence.
    Kurzfassung: This book presents high-quality, peer-reviewed papers from 3rd International Conference on “Universal Threats in Expert Applications and Solutions" (UNI-TEAS 2024), jointly being organized by IES University, Bhopal, and Shree KKarni Universe College, Jaipur, in association with CSI Jaipur Chapter and Jaipur ACM Professional Chapter during January 6–9, 2024. The book is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.
    DOI: 10.1007/978-981-97-3810-6
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  • 81
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    Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2024, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819735235
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 482 p. 240 illus., 216 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1015
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Blockchains (Databases). ; Internet of things.
    Kurzfassung: This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by School of Electronics and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India, during 5–6 January 2024. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.
    DOI: 10.1007/978-981-97-3523-5
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  • 82
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    Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond : Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10–12, 2024 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Dazugehörige Bände/Artikel
    Details
    ISBN: 9783031671593
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIII, 228 p. 72 illus., 66 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1087
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Unsupervised Learning-based Data Collection Planning with Dubins Vehicle and Constrained Data Retrieving Time -- Hyperbox GLVQ Based on Min Max Neurons -- Sparse clustering with K means which penalties and for which data -- Is t SNE Becoming the New Self organizing Map Similarities and Differences -- Pursuing the Perfect Projection A Projection Pursuit Framework for Deep Learning -- Generalizing self organizing maps large scale training of GMMs and applications in data science -- A Self Organizing UMAP For Clustering -- Knowledge Integration in Vector Quantization Models and Corresponding Structured Covariance Estimation -- Exploring data distributions in Machine Learning models with SOMs -- Interpretable Machine Learning in Endocrinology a Diagnostic Tool in Primary Aldosteronism -- The Beauty of Prototype Based Learning.
    Kurzfassung: The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOMUSD+USD 2024), held at the University of Applied Sciences Mittweida (UAS Mitt\-weida), Germany, on July 10–12, 2024. The book highlights new developments in the field of interpretable and explainable machine learning for classification tasks, data compression and visualization. Thereby, the main focus is on prototype-based methods with inherent interpretability, computational sparseness and robustness making them as favorite methods for advanced machine learning tasks in a wide variety of applications ranging from biomedicine, space science, engineering to economics and social sciences, for example. The flexibility and simplicity of those approaches also allow the integration of modern aspects such as deep architectures, probabilistic methods and reasoning as well as relevance learning. The book reflects both new theoretical aspects in this research area and interesting application cases. Thus, this book is recommended for researchers and practitioners in data analytics and machine learning, especially those who are interested in the latest developments in interpretable and robust unsupervised learning, data visualization, classification and self-organization.
    DOI: 10.1007/978-3-031-67159-3
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  • 83
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    Intelligent Systems and Applications : Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031664311
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 658 p. 280 illus., 218 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1067
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: Diagnosis of Alzheimer’s Disease with Deep Neural Networks -- MAMTCPN: Moise+ Automated Mapping to Colored Petri Net -- The Problem of Many Vehicles: An Explainable System for Autonomous Multi-Agent Accidents -- Enhancing Spinal Health: Personalized Exoskeleton for Preventing and Rehabilitating Heavy Lifting-Related Conditions.
    Kurzfassung: This volume is a collection of meticulously crafted, insightful, and state-of-the-art papers presented at the Intelligent Systems Conference 2024, held in Amsterdam, The Netherlands, on 5-6 September 2024. The conference received an overwhelming response, with a total of 535 submissions. After a rigorous double-blind peer review process, 181 papers were selected for presentation. These papers span a wide range of scientific topics, including Artificial Intelligence, Computer Vision, Robotics, Intelligent Systems, and more. We hope that readers find this volume both interesting and valuable. Furthermore, we expect that the conference and its proceedings will inspire further research and technological advancements in these critical areas of study. Thank you for engaging with this collection of works from the Intelligent Systems Conference 2024. Your interest and support contribute significantly to the ongoing progress and innovation in the field of intelligent systems.
    DOI: 10.1007/978-3-031-66431-1
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  • 84
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    Intelligent Systems and Applications : Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031663369
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 665 p. 275 illus., 229 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1068
    Paralleltitel: Erscheint auch als
    Paralleltitel: Erscheint auch als
    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: Hybrid Deep Learning Network with Convolutional Attention for Detecting Epileptic Seizures from EEG Signals -- Enhancing City-Level Influenza Nowcasting on Island Terrain with Graph Neural Networks: Spatial Feature Insights -- Deep Learning-Based Enumeration of Pirogues Using Google Earth Images: A Case Study of Artisanal Fishing Landing Sites in Senegal.
    Kurzfassung: This volume is a collection of meticulously crafted, insightful, and state-of-the-art papers presented at the Intelligent Systems Conference 2024, held in Amsterdam, The Netherlands, on 5-6 September 2024. The conference received an overwhelming response, with a total of 535 submissions. After a rigorous double-blind peer review process, 181 papers were selected for presentation. These papers span a wide range of scientific topics, including Artificial Intelligence, Computer Vision, Robotics, Intelligent Systems, and more. We hope that readers find this volume both interesting and valuable. Furthermore, we expect that the conference and its proceedings will inspire further research and technological advancements in these critical areas of study. Thank you for engaging with this collection of works from the Intelligent Systems Conference 2024. Your interest and support contribute significantly to the ongoing progress and innovation in the field of intelligent systems.
    DOI: 10.1007/978-3-031-66336-9
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  • 85
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    Intelligent Systems Design and Applications : Industrial Applications, Volume 6 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031648502
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 509 p. 194 illus., 152 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1051
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Optimizing Energy Consumption in Android Mobile Devices Based on User Recommendations -- Identification and Analysis of Barriers for In-Service Pressure Vessel and Piping Inspection using DEMATEL Approach -- Micro Expression Recognition Contemporary Challenges Options and Analysis -- Ecology based Optimization of Traffic Signal Timing on Superstreet -- IntelliFarmAssist A Novel Machine Learning Integrated Genetic Algorithm based Optimal Crop Recommendation System -- Real Time ETL for multimedia sources A systematic literature review -- Wastewater Monitoring and Control Using Cloud Based IOT System -- Multimodal Emotion Classification Implications for Cognitive Science and Human Behaviour -- Uniting Optimization and Deep Learning for Complex Problem Solving A Comprehensive Review.
    Kurzfassung: This book highlights recent research on intelligent systems and nature-inspired computing. It presents 47 selected papers focused on Industrial Applications from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all industrial specialists, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and industrial applications.
    DOI: 10.1007/978-3-031-64850-2
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  • 86
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    Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICEDT-2024, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819736010
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XX, 564 p. 238 illus., 193 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1022
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Statistics . ; Cooperating objects (Computer systems). ; Internet of things. ; Computer networks
    Kurzfassung: The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICEDT-2024) held during 16–17 February 2024 in Guwahati, India. The book is organized in two volumes and covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cybersecurity and forensic, network and mobile security, advance computing, cloud computing, quantum computing, VLSI and semiconductors, electronics system, Internet of Things, robotics and automations, blockchain and software technology, digital technologies for future, and assistive technology for Divyangjan (people with disabilities).
    DOI: 10.1007/978-981-97-3601-0
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  • 87
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    Intelligent Systems and Applications : Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031663291
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 717 p. 261 illus., 231 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1065
    Paralleltitel: Erscheint auch als
    Paralleltitel: Erscheint auch als
    Schlagwort(e): Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Kurzfassung: FireNet: A Hybrid Deep Learning Approach for Enhanced Fire Detection in Remote Sensing Imagery -- Towards Enhanced Virtual Chronic Care: Artificial Intelligence-Human Computer Interaction Integration in Synchronous Virtual Consultations -- Image Classification Method Considering Overlapping and Correlation Between Probability Density Functions of Features.
    Kurzfassung: This volume is a collection of meticulously crafted, insightful, and state-of-the-art papers presented at the Intelligent Systems Conference 2024, held in Amsterdam, The Netherlands, on 5-6 September 2024. The conference received an overwhelming response, with a total of 535 submissions. After a rigorous double-blind peer review process, 181 papers were selected for presentation. These papers span a wide range of scientific topics, including Artificial Intelligence, Computer Vision, Robotics, Intelligent Systems, and more. We hope that readers find this volume both interesting and valuable. Furthermore, we expect that the conference and its proceedings will inspire further research and technological advancements in these critical areas of study. Thank you for engaging with this collection of works from the Intelligent Systems Conference 2024. Your interest and support contribute significantly to the ongoing progress and innovation in the field of intelligent systems.
    DOI: 10.1007/978-3-031-66329-1
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  • 88
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    Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems, and Applications : IISA2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031674266
    Sprache: Englisch
    Seiten: 1 Online-Ressource(X, 432 p. 148 illus., 117 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1093
    Paralleltitel: Erscheint auch als
    Paralleltitel: Erscheint auch als
    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Engineering
    Kurzfassung: Introduction To Advances In Information Intelligence Systems And Applications -- A Multi Dimensional Survey on Learning from Imbalanced Data -- An Expert System For Decision Making In The Face Of Imprecise, Inconsistent And Paracomplete Data Metaverse Security Application Using DLP -- Machine Learning and Human Unlearning -- Circumstance Evaluation Using Extreme Value Analysis on Charging Station Data The case of DEI blue in Greece -- Explainability Spectrum Analysis of Weather Sequences in Short Term Load Forecasting -- Machine Learning and Thermal Imaging in Precision Agriculture -- Reinforcement Learning Agents in Precision Agriculture.
    Kurzfassung: This book includes extended versions of selected research works that were presented at the 14th International Conference on Information, Intelligence, Systems, and Applications (IISA2023), Volos, Greece, 10–12 July 2024 along with additional relevant papers by invited authors. Information is widely available and accessible but frequently leads to information overload and overexposure and the effort for coding, storing, hiding, securing, transmitting, and retrieving it may be excessive. Intelligence, inspired by biological and other paradigms, is required to manage information and extract knowledge from it. Information and multimedia systems, with an increasing level of intelligence, are being developed that incorporate these advances. As a result, new technologies, protocols, and novel applications are emerging. In turn, the novel applications lead to the collection of new information, and the “Information à Intelligence à Systems à Applications” circle is repeated at ever higher levels. These works cover a broad spectrum of topics from both novelties in theory and advanced methodologies as well as novel applications in energy, agriculture, medicine, forensics, healthcare, education, tourism, inspection, traffic, and software engineering. Targeted towards academicians, researchers, practitioners, and students in computer science and artificial intelligence, this work is also accessible to individuals from other disciplines interested in the cutting-edge developments of information, intelligence, systems, and applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into the application areas of interest to them.
    DOI: 10.1007/978-3-031-67426-6
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  • 89
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    Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: From Concepts to Applications : Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031650147
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 530 p. 168 illus., 110 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Information Systems Engineering and Management 5
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Chapter 1. An Extension to Single Events of the MongoDB Atlas Trigger Scheduling Mechanism -- Chapter 2. Proposed Architecture for Smart Irrigation System: Leveraging IoT and LoRaWAN -- Chapter 3. Digitalization's Influence on Audit: Examining the Implications of Big Data and Blockchain Technology -- Chapter 4. Artificial Intelligence for Auditing -- Chapter 5. Enhancing Query Processing in Big Data: Scalability and Performance Optimization -- Chapter 6. Customer Behavior Tracing And Prediction Using Genetic Algorithm: Review of Literature -- Chapter 7. Combining NLP and Generative Models for Predicting Incident Category and Incident Routing in Incidents Management Systems -- Chapter 8. Artificial Intelligence as a Lever for Optimizing Well-Being at Work -- Chapter 9. The digitalization of social influence practices in Morocco and its effect on attitudinal change and purchase behavioral intention -- Chapter 10. Performance improvement of internet of things by using fuzzy logic -- Chapter 11. Digitalization, Connectivity, and Smart Cities: The case of Romania -- Chapter 12. Innovation Strategies and Performance in the Enterprise: An Analysis of Digital Marketing Role -- Chapter 13. Drivers of EPS Adoption: Exploring the Influence of Environmental Consciousness, Risk Perception, and Trust -- Chapter 14. Deep Learning-Based Predictive Analytics for Anomaly Detection in Big Data Environments -- Chapter 15. XAI for cardiovascular risk prediction -- Chapter 16. Impact Of The Perceived Congruence Between The Dominant Color Of The Ad Banner And The Message On Consumer Attitude Towards The Brand -- Chapter 17. Transforming hospitality: harnessing artificial intelligence for enhanced guest experience and operational efficiency -- Chapter 18. Theoretical approach of the contribution of artificial intelligence systems in value creation in the B2C sales funnel -- Chapter 19. Understanding and Designing Turing Machines with innovative applications to Computing -- Chapter 20. Genomic Insights Revealed: Multiclass DNA Sequence Classification Using Optimized Naive Bayes Modeling -- Etc...
    Kurzfassung: This book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation and introducing the concepts and principles of each technology. The subsequent chapters delve into the various applications and use cases, providing readers with real-world examples of how AI, IoT, and Blockchain can be leveraged to address key challenges in Smart Environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, Artificial Intelligence, and Smart Environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, Artificial Intelligence, and Smart Environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart cities in particular. The authors hope that this book serves as a valuable resource and guide for readers, empowering them to navigate the intricate landscape of Artificial Intelligence, IoT, and Blockchain in Smart Environments. Let the authors embark on this transformative journey together, as the authors explore the concepts and applications that hold the potential to shape the future of Smart Environments. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and Artificial Intelligence.
    DOI: 10.1007/978-3-031-65014-7
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  • 90
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    Perspectives and Practices of Public Administration in South Asia : Post-pandemic Recovery and Sustainable Development Agenda (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
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    ISBN: 9783031498411
    Sprache: Englisch
    Seiten: 1 Online-Ressource (XVII, 202 p.)
    Serie: South Asian Public Administration
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Public administration. ; Political science. ; e-governance ; India ; Sri Lanka ; public service delivery ; new public management ; South Asian public administration ; SDG ; COVID-19 ; Pakistan ; Bangladesh ; South-South cooperation ; ICT ; pandemic recovery ; Aufsatzsammlung
    Kurzfassung: This edited volume bridges the gap between theoretical underpinnings of South Asian public administration and practices on the ground to understand the future path of public administration in the region. The ten chapters highlight the post-covid contemporary trajectories of public administration and the civil society in Bangladesh, India, Pakistan, and Sri Lanka. In addition, each case study is tied to a relevant UN Sustainable Development Goal (SDG), using the SDG framework to provide useful insights for transfer of knowledge and learning within the South Asian region and highlight the “South- South” and “South-North” exchange. Illustrating the unique challenges and opportunities faced by South Asian countries post-pandemic, this volume will be of interest to scholars and students of public administration, governance, South Asian politics, and the SDGs.
    DOI: 10.1007/978-3-031-49841-1
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  • 91
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    Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: From Concepts to Applications : Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031650185
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XI, 570 p. 157 illus., 106 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Information Systems Engineering and Management 6
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Chapter 1. Iterative method of Newton-Raphson for systems with two equations -- Chapter 2. Harnessing Reinforcement Learning for Enhanced Solar Radiation Prediction: State-of-the-Art and Future Directions -- Chapter 3. LoRaWAN-based Smart Irrigation Systems: A literature review -- Chapter 4. A Temporal Metadata Management Approach for Data Lakes -- Chapter 5. Artificial Intelligence in Social Media: From Content Personalization to User Engagement -- Chapter 6. Designing a Comprehensive Data Security Protection System for Multi-Dimensional Threats in Cloud Computing -- Chapter 7. Optimized CNN-BiGRU Intrusion Detection Model with SMOTE Enhancement: Using Optuna for Automated Hyperparameter Tuning -- Chapter 8. Digitally-Enabled Labor Market: The Dark Side of Digital Transformation -- Chapter 9. A Comparative Study on the Adoption of Customer Relationship Management (CRM) Technologies by Family and Non-Family Small and Medium Enterprises (SMEs) -- Chapter 10. Learning design of lesson plans with LAMS and CADMOS -- Chapter 11. Systematic literature reviews in political marketing: behavior, influence, and trust in the era of big data and artificial intelligence -- Chapter 12. The role of artificial intelligence and collective intelligence in the evolution of the HR function -- Chapter 13. The Role of Business Intelligence Systems in an Organization Case of SONACOS, Morocco -- Chapter 14. Marketing strategies developed by informal production units -- Chapter 15. Medical Image Compression Using Discrete Wavelet Transform -- Chapter 16. Perspectives on the integration of artificial intelligence in the independent hotel sector of the Rabat-Sale-Kenitra region: An empirical study -- Chapter 17. Modeling Moroccan consumer behavior: An empirical approach -- Chapter 18. Exploring Consumer Behavior in Emerging Markets Towards Organic Products Through Local Identity, Patriotism, and Trust in Origin: Moroccan Case -- Chapter 19. The Influence of Behavioral Biases on Portfolio Management Decisions: Deviations from the Efficient Frontier of Modern Portfolio Theory -- Chapter 20. Optimizing Hyperparameters for Fraud Detection: A Comparative Analysis of Machine Learning Algorithms -- Etc.
    Kurzfassung: This book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation and introducing the concepts and principles of each technology. The subsequent chapters delve into the various applications and use cases, providing readers with real-world examples of how AI, IoT, and Blockchain can be leveraged to address key challenges in Smart Environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, Artificial Intelligence, and Smart Environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, Artificial Intelligence, and Smart Environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart cities in particular. The authors hope that this book serves as a valuable resource and guide for readers, empowering them to navigate the intricate landscape of Artificial Intelligence, IoT, and Blockchain in Smart Environments. Let the authors embark on this transformative journey together, as the authors explore the concepts and applications that hold the potential to shape the future of Smart Environments. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and Artificial Intelligence.
    DOI: 10.1007/978-3-031-65018-5
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  • 92
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    Control of Multi-agent Systems : Theory and Simulations with Python (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031529818
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 228 p. 73 illus., 47 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Advanced Textbooks in Control and Signal Processing
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    Schlagwort(e): Control engineering. ; Graph theory. ; Artificial intelligence. ; Robotics.
    Kurzfassung: Introduction -- Linear Algebra and Graph Theory -- Consensus Control -- Coverage Control -- Formation Control -- Distributed Optimization -- Viral Spreading Phenomena and Control.
    Kurzfassung: This textbook teaches control theory for multi-agent systems. Readers will learn the basics of linear algebra and graph theory, which are then developed to describe and solve multi-agent control problems. The authors address important and fundamental problems including: • consensus control; • coverage control; • formation control; • distributed optimization; and • the viral spreading phenomenon. Students' understanding of the core theory for multi-agent control is enhanced through worked examples and programs in the popular Python language. End-of-chapter exercises are provided to help assess learning progress. Instructors who adopt the book for their courses can download a solutions manual and the figures in the book for lecture slides. Additionally, the Python programs are available for download and can be used for experiments by students in advanced undergraduate or graduate courses based on this text. The broad spectrum of applications relevant to this material includes the Internet of Things, cyber-physical systems, robot swarms, communications networks, smart grids, and truck platooning. Additionally, in the spheres of social science and public health, it applies to opinion dynamics and the spreading of viruses in social networks. Students interested in learning about such applications, or in pursuing further research in multi-agent systems from a theoretical perspective, will find much to gain from Control of Multi-agent Systems. Instructors wishing to teach the subject will also find it beneficial.
    DOI: 10.1007/978-3-031-52981-8
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  • 93
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    New Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence : The DITTET 2024 Collection (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031666353
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 476 p. 166 illus., 144 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Advances in Intelligent Systems and Computing 1459
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: -- 1: Smart City Air Quality Monitoring: A Mobile Application for Intelligent Cities. -- 2: A Comparison of DoDAF, TOGAF, and FEAF: Architectural Frameworks for Effective Systems Design. -- 3: Integrating AI Techniques for Enhanced Management and Operation of Electric Vehicle Charging Stations. -- 4: Ensemble Learning Models for Wind Power Forecasting. -- 5: On the use of Message Brokers for Real-Time Monitoring Systems. -- 6: An Audit Framework for Civil Construction Safety Management and Supervision. -- 7: A Framework for Monitoring Pollution Levels in Smart Cities. -- 8: A Monitoring Framework for Smart Building Facilities Management. -- 9: A Framework for Wood Moisture Control in Industrial Environment. -- 10: A Monitoring Framework To Assess Air Quality On Car Parks. -- 11: An IoT-based Framework for Smart Homes. -- 12: An IoT Framework for Improved Vineyards Treatment in Grape Farming. -- 13: Bytes and Battles: Pathways to De-escalation in the Cyber Conflict Arena. -- 14: Against Skepticism and Deterioration: Art and the Construction of Peace. -- 15: Predictive Model for Estimating Body Weight Based on Artificial Intelligence: An Integrated Approach to Pre-processing and Evaluation. -- 16: Strengthening the role of citizens in governing disruptive technologies: the case of Dutch volunteer hackers. -- 17: Consumer Behaviour in the AI Era. -- 18: EgiCool - IoT solution for datacenter environmental control and energy consumption monitoring. -- 19: Development of an Autonomous Device for People Detection. -- 20: Requirements on and procurement of explainable algorithms—a systematic review of the literature. -- 21: PetWatcher – Ubiquitous Device Proximity Location System. -- 22: Gamification, PBL Methodology and Neural Network to Boost and Improve Academic Performance. -- 23: A Positive Perspective to Redesign The Online Public Sphere: A Deliberative Democracy Approach. -- 24: Mapping Changes in Procurement Management for Project Implementation in the Food Sector: an applied review to the principles PMBOK®Guide v.7 with DotProject+. -- 25: Integration of a mobile robot in the ROS (Robot Operating System) environment. Analysis of the implementation in different versions. -- 26: A comparative analysis of model alignment regarding AI ethics principles. -- 27: The Biomimicry Database: An Integrated Platform to Enhancing Knowledge Sharing in Biomimetics. -- 28: Plant disease classification through image representations with embeddings. -- 29: Value Creation and Strategic Management in the Era of Digital Transformation: a Bibliometric Analysis and Systematic Literature Review. -- 30: Incorporating Electric Vehicles in Strategic Management or Value Creation Initiatives with a Focus on Sustainability?. -- 31: Application of Unmanned Aerial Vehicles for Autonomous Fire Detection. -- 32: Explaining Social Recommendations Using Large Language Models. -- 33: Utilizing Retrieval-Augmented Large Language Models for Pregnancy Nutrition Advice. -- 34: The fictional pact in human-machine interaction. Notes on empathy and violence towards robots. -- 35: Educational Platform for Inclusive Learning with Deep Camera Integration and Serious Games. -- 36: Evaluation of the effect of side information on LLM rankers for recommender systems. -- 37: Airsense - Low Cost Indoor Air Quality Monitoring Wireless System. -- 38: Moral Asymmetries in LLMs. -- 39: Vineyard Leaf Disease Prediction: Bridging the Gap between Predictive Accuracy and Interpretability. -- 40: Wrap Your Mind Around Education: Applying Hugging Face to a Chatbot with AI. -- 41: An Explainable Clustering Methodology for the Categorization of Teachers in Digital learning platforms based on their Performance. -- 42: From Waste to Wealth: Circular Economy Approaches for Recycled EV Batteries in Energy Storage.
    Kurzfassung: This book uniquely explores the intersection of artificial intelligence, big data, the Internet of Things, and bioinformatics, emphasizing the necessity for a revised ethical framework. It discovers groundbreaking insights into the ethical dimensions of emerging technologies with this comprehensive guide. It highlights the latest scientific and technical advancements, addressing their social impacts and legal challenges. Ideal for academics, industry professionals, and multidisciplinary researchers, this book offers invaluable perspectives on the ethical development of disruptive technologies and uses it to stay ahead in the evolving field of tech ethics, ensuring responsible innovation in diverse areas such as climate change, politics, economy, and security.
    DOI: 10.1007/978-3-031-66635-3
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  • 94
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    Ethico-Legal Aspect of AI-driven Driverless Cars : Comparing Autonomous Vehicle Regulations in Germany, California, and India (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819768837
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIX, 187 p. 3 illus., 1 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications
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    Schlagwort(e): Information technology ; Mass media ; Industrial policy. ; Artificial intelligence. ; Technology
    Kurzfassung: Chapter- 1. Artificial Intelligence - An Overview of The Legal Status -- Chapter-2. Scope of Artificial Intelligence -- Chapter-3. Tortious Liability Of Artificial Intelligence -- Chapter- 4. Criminal Liability Of Artificial Intelligence -- Chapter- 5. Ethical Issues related to Artificial Intelligence in Autonomous Cars -- Chapter- 6. Conclusions And Findings.
    Kurzfassung: This book is a comparative study of the laws and regulations involving legal and ethical issues related to Artificial Intelligence (AI), in particular for self-driving cars or autonomous vehicles (AVs). It identifies, analyzes, and points out such issues via a study of laws and regulations in India, Germany, and California, determining the legal liabilities of designer, developer/programmer, manufacturer, producer, users, or AI in the case of AVs. AV technology is being touted as one that is poised to bring revolution in the mobility ecosystem by lessening the number of accidents and by providing other benefits, such as potential to reduce traffic, increase safety and mobility, lower energy usage and generate free time. Despite having such a potential to shape and transform the future, and involvement of tech-giants like Google, Amazon, Facebook, and Microsoft, regulations around AI and AVs are still on the drawing board stage in many countries, as they grapple on how to address this issue which has both local and global players involved and affects both local and global populace. The book studies and compares the existing and evolving regulations in three different regions to bring out the lacunae, loopholes and best practices. It highlights when AI deserves legal personhood, and when it requires to be granted legal standing. It also points out the civil and criminal legal liabilities arising when AV is involved in an accident, and the ethical issues involved in the deployment of AI. The book goes beyond new regulations to analyze whether challenges and problems arising from AI technology can be addressed within existing civil and criminal laws - procedural and substantive law – or whether a sui generis law on AI technology is required. The analysis and the results showcased here would be highly useful for multi-disciplinary research on the topic. Regulators of both industry and governance would find the contents invaluable in getting a broader picture of the issues and concerns around this topic, along with policy makers would be able to come up with more effective regulations on AI and AVs.
    DOI: 10.1007/978-981-97-6883-7
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  • 95
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    Advanced Techniques of Artificial Intelligence in IT Security Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031538544
    Sprache: Englisch
    Seiten: 1 Online-Ressource(V, 91 p. 38 illus., 35 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Big Data 146
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    Schlagwort(e): Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Kurzfassung: Artificial neural networks -- Initialization of weights values in neural networks -- Convolution neural networks -- Application of artificial intelligence methods in profiling of computer network users -- Profiling users using the random forest algorithm -- Convolutional networks in user profiling -- User profiling using recurrent-convolutional networks -- Detection of network traffic anomalies using OC-NN.
    Kurzfassung: The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing short of transformative, affecting every aspect of our lives. Ensuring the safety of its users is a paramount concern, and it requires a diverse set of disciplines to address. Researchers from various fields, including IT, mathematics, psychology, and medicine, are collectively working to tackle this interdisciplinary challenge. The significance of this issue has been magnified by the COVID-19 pandemic, which forced many aspects of our lives into the digital realm, from online payments to remote work and education. This shift brought new security challenges, with data privacy and system integrity taking center stage. It delves into the intricacies of Big Data by having to analyze an immense volume of network traffic data that can only be effectively analyzed with specialized tools. Real-time threat detection is critical, and the book sheds light on cutting-edge approaches to achieving this goal. The content of the book covers a broad spectrum of topics related to IT system security, from user and system profiling to preventing data leaks and defending against phishing attacks. Additionally, innovative concepts such as “glial networks” are introduced, offering new ways to interpret knowledge stored in convolutional networks. These solutions are not limited to security alone; they have applications across various domains. The book highlights the advantages of these cutting-edge approaches over existing methods, demonstrating their relevance to large corporations, public institutions, schools, small businesses, and households. In a world where security threats are constantly evolving, this book is a valuable resource for understanding the dynamic landscape of network security and the role of artificial intelligence in safeguarding our digital ecosystems.
    DOI: 10.1007/978-3-031-53854-4
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  • 96
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    The Long 2020 : Reflections of Epidemiological Times (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819948154
    Sprache: Englisch
    Seiten: 1 Online-Ressource (X, 224 p. 4 illus., 1 illus. in color.)
    Serie: India Studies in Business and Economics
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    Schlagwort(e): Labor economics. ; Population ; Political science. ; Economic policy. ; Social policy. ; Public health. ; COVID-19 ; Pandemic ; Epidemic ; India ; Plague ; Long Century ; Livelihood ; Global Epidemiological Crisis ; Aufsatzsammlung
    Kurzfassung: 1. Introduction: Looking beyond the Immediate -- Part 1: Of Past and Futures of Studying Epidemics -- 2. ‘Longue Durée’, ‘Conjoncture’, ‘Event’: Notion of Plural Time in History (Subhas Ranjan Chakraborty) -- 3. Locating the Diseased Body (Paula Banerjee) -- 4. Structure, Agency, Temporality: Revisiting Historical Analyses to Study the Contemporary (Kaustubh Mani Sengupta) -- 5. The Island of the Day After: Digital Epidemiology, Artificial Intelligence and a Futuristic Governmentality (Iman Mitra) -- Part 2: Global and Local Response to 2020 -- 6. Global Capitalism and Corona Pandemic – In Search for Radical Solution (Byasdeb Dasgupta) -- 7. The Long 2020/21 in India: Models of Pandemic Management and Logistics of Governance (Amit Prakash) -- Part 3: Refugees and Labouring Lives -- 8. Politics of Health in Post-Partition Calcutta: the Refugees, the Left movements and the Question of Life in the City (Priyankar Dey) -- 9. Guest Workers in Kerala: Is Welfarism Enough? (Jyothi Krishnan) -- 10. Long 2020 and the Informal Care Economy: Case studies of select Careworkers (Sabir Ahamed) -- Part 4: Literature and the Literary World -- 11. Epidemic and Bangla Literature: Tropes, Traces, Topographies (Samata Biswas) -- 12. Books — and the Time-Warp of Long-COVID (Ritu Menon).
    Kurzfassung: This book looks at the current crises of life and livelihood following the global epidemiological crisis and various strategies to manage them as a long unfolding of past trends and future possibilities of epidemiological governance, restructuring of global economy, public health, systems of protection and care and the role of state in that, and precarities of the migrants and the refugees. It brings together scholars from different fields to think of our present in the time of COVID-19 pandemic in a longer temporal frame. The essays compiled in this book investigate issues mentioned above, covering a period from the colonial past to the postcolonial present with an aim towards encouraging scholarly debates on protection, care and justice. Although the experiences of last two years have inspired some very important academic and scholarly interventions, this book compiles original research to contextualise the present in a longue duree framework and arrive at a more complex understanding of it. It is a must-have resource for researchers of developmental studies especially in the above mentioned areas, as well as policy makers, think tanks and other non-governmental organizations interested in these areas.
    DOI: 10.1007/978-981-99-4815-4
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  • 97
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    Intelligent Systems Design and Applications : Deep Learning, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031648366
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 497 p. 240 illus., 180 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 1047
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Deep Learning Approach for Autonomous Spacecraft Landing -- Deep Learning Approach for Flood Mapping Using Satellite Images Dataset -- Large Language Models for Named Entity Recognition NER of Skills in Job Postings in German -- Machine Learning Approaches for Investing Strategies in Stock Market -- OP FedELM One pass Privacy-preserving Federated Classification via Evolving Clustering Method and Extreme Learning Machine hybrid -- Gamma Corrected Pyramid Pix2pix – Breast Cancer HE to IHC Image Generation -- Unveiling Deepfakes Customized Convolutional Neural Networks for Detection -- The Nasdaq Composite Index Prediction Using LSTM and Bi LSTM Multivariate Deep Learning Approaches -- PlastOcean Detecting Floating Marine Macro Litter FMML using Deep Learning Models -- Data Augmentation Using Generative Neural Networks Based on Fourier Feature Mapping -- Delay Risk Detection in Road Construction Projects Utilizing Large Language Model -- Unlocking The Potential of Novel LSTM in Airline Recommendation Prediction -- Pylung a supporting tool for comparative study of ViT and CNN based models used for lung nodules classification -- Deep Learning model for predicting rice plant disease identification and classification for improving the yield.
    Kurzfassung: This book highlights recent research on intelligent systems and nature-inspired computing. It presents 47 selected papers focused on Deep Learning from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and deep learning.
    DOI: 10.1007/978-3-031-64836-6
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  • 98
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    Fuzzy Cognitive Maps : A Tool for the Modeling and Simulation of Processes and Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031379598
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVII, 133 p. 33 illus., 6 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Studies in Fuzziness and Soft Computing 427
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Introduction to Fuzzy Cognitive Maps -- Systemic Relationships Between Regional Sustainability and Waste Management -- Identification of the Main Factors (Concepts) of Waste Management for Building the Initial FCM Model -- Rethinking the Set of Concepts - Applying Expert Analysis by the Workshop Method -- Model Reduction Methods -- Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series -- Behavioral Analysis of Fuzzy Cognitive Maps -- Fuzzy Cognitive Maps: Mathematical Challenges -- Dynamics of Classical Fuzzy Cognitive Maps -- Dynamics of Fuzzy Cognitive Maps with Uncertain Weights.
    Kurzfassung: This book is considered as a monograph but also as a potential textbook for graduate students, focusing on the application of FCMs for modelling and analysing the behaviour of multicomponent systems. In the last two decades, no monograph or textbook has been published on the topic Fuzzy Cognitive Maps (FCM), so this new book is definitely filling a gap in the literature of computational intelligence. The book is built up didactically, the novel results in the field being presented in the way of starting with two real-life case studies, one in the area of waste management, while the other one in modelling bank management systems. In both cases, the book starts with explaining the applied problem and then presenting how the model construction is done and what problems emerge when attempts are made for applying directly earlier results on FCM modelling. In the first case study, the problem of the oversimplification leads to inadequacy of the model, and then it is shown how new, much finer models can be built up based on expert domain knowledge. Then, the new problem of losing transparency and interpretability emerges, and as a solution, a new algorithm family is proposed that reduces FCMs to fewer components, while preserving the essential characteristics of the original model. The second case study raises the problems of stability and sensitivity of FCMs, especially, considering that expert knowledge is often uncertain and subjective. The new results summarised in the book target the questions of how to ascertain whether an FCM is converging to one or several fixed point attractors, whether there is a bifurcation when parameters are changing, etc. Both problems deal with the ultimate question whether the system modelled is stable and sustainable.
    DOI: 10.1007/978-3-031-37959-8
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  • 99
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    Artificial Intelligence, Data Science and Applications : ICAISE’2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031485732
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XXI, 616 p. 261 illus., 219 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Lecture Notes in Networks and Systems 838
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    Schlagwort(e): Computational intelligence. ; Engineering ; Artificial intelligence.
    Kurzfassung: Exploring the Impact of Deep Learning Techniques on Evaluating Arabic L1 Readability -- Performance Analysis of Two Serial Concatenations of Decoders over a Rayleigh Channel -- Blockchain and Reputation Based Secure Service Provision in Edge-cloud Environments -- Exploring the Impact of Convolutions on LSTM Networks for Video Classification -- Classification algorithms implementation for fire prevention data on multiple wireless node sensors -- Implementation of an intelligent monitoring system based on Quality 4.0 of the Induction Hardning process -- Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine -- Intrusion Detection in Software-Defined Networking using Machine Learning Models -- Neural Network for link Prediction in social network -- Design and optimization of a compact Microstrip band-pass filter using on open loop rectangular resonators for wireless communication systems -- YOLO-based Approach for Intelligent Apple Crop Health Assessment -- A comprehensive review on the integration of Blockchain Technology with IPFS in IoT ecosystem.
    Kurzfassung: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
    DOI: 10.1007/978-3-031-48573-2
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  • 100
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    Multidimensional Signals, Augmented Reality and Information Technologies : Proceedings of 3DWCAI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819970117
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 384 p. 214 illus., 156 illus. in color.)
    Ausgabe: 1st ed. 2024.
    Serie: Smart Innovation, Systems and Technologies 374
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    Schlagwort(e): Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Image processing.
    Kurzfassung: Part I: Multidimensional Signal Processing -- Chapter 1. Design and Optimization of Steering-by-wire System for FSAC Racing Car -- Chapter 2. New Approach for Soil Moisture Prediction Based on Multiple Influencing Factors -- Chapter 3. Fuzzy PID Control of Brushless DC Motor Based on the Improved Bat Algorithm -- Chapter 4. Monocular Stereo Learning Based on Hybrid Attention Transformer -- Chapter 5. Prediction of Tool Remaining Useful Life of NC Machine Tool based on DTW Algorithm and LSTM Neural Network -- Chapter 6. Research on Online Detection Device and Method of Corn Grain Crushing Rate -- Chapter 7. Maize Kernels Endosperm Feature Extraction Based on Genetic Algorithm Image Enhancement -- Chapter 8. Data Balancing of Ceph Distributed Storage System Based on Deep Reinforcement Learning -- Chapter 9. The Fault Detection Method of the Seismic Image Based on Semantic Segmentation -- Part II: Augmented Reality and Deep learning -- Chapter 10. Analysis on Grey Space Form and Simulation Evaluation in Landscape Design -- Chapter 11. 3D Animation Design and Production Based on Intelligent Algorithm and Virtual Reality. etc.
    Kurzfassung: This book features a collection of high-quality, peer-reviewed research papers presented at Second 'World Conference on Intelligent and 3-D Technologies' (WCI3DT 2023), held in China during May 26–28, 2023. The book provides an opportunity to researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications and other related areas. The book presents ideas and the works of scientists, engineers, educators and students from all over the world from institutions and industries.
    DOI: 10.1007/978-981-99-7011-7
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