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  • BSZ  (884)
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  • Artificial intelligence.  (884)
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  • 1
    Online Resource
    Online Resource
    New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031556845
    Language: English
    Pages: 1 Online-Ressource(XII, 434 p. 153 illus., 114 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1149
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms are envisioned. 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 systems, 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 group 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 a group 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: 10.1007/978-3-031-55684-5
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    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing : Volume 17 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563881
    Language: English
    Pages: 1 Online-Ressource(Approx. 215 p.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1153
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    BSZ
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    From Automated to Autonomous Driving : A Transnational Research History on Pioneers, Artifacts and Technological Change (1950-2000) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031498817
    Language: English
    Pages: 1 Online-Ressource(XI, 307 p. 73 illus., 43 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Archimedes, New Studies in the History and Philosophy of Science and Technology 70
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Science ; Robotics. ; Automotive engineering. ; Artificial intelligence. ; Computer vision.
    Abstract: Acknowledgements -- Chapter 1. Introduction -- Chapter 2. History of the research on vehicle automation in the United States -- Chapter 3. History of the research on vehicle automation in Japan -- Chapter 4. History of the research on vehicle automation in Europe -- Chapter 5. Findings of the inquiry -- Chapter 6. Timeline with firsts, milestones and shifts -- Index.
    Abstract: This book presents the most important milestones of the research on automated and autonomous driving in the United States, Japan and Europe throughout five decades (1950-2000). Drawing on sources from the automotive industry, electrical engineering, the robotics and AI-domain and military institutions, it retraces the transition from the guidance-cable approach to vehicle-based sensor and vision systems. Giving a detailed overview of the technical concepts, artefacts, research vehicles and robots, the book presents the transnational engineering efforts that started long before Silicon Valley entered the field. In addition, the book also uniquely details the role of the military in the domain of vehicle automation. This all ensures the book is of great interest to historians of technology, practitioners in engineering disciplines, scholars working in mobility studies, journalists, and political decision makers.
    DOI: 10.1007/978-3-031-49881-7
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    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Intelligent Manufacturing System and Intelligent Workshop : Parameter Optimization, Process Planning, Workshop Scheduling, Typical Case (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819920112
    Language: English
    Pages: 1 Online-Ressource(VIII, 237 p. 78 illus., 41 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advanced and Intelligent Manufacturing in China
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Industrial engineering. ; Production engineering. ; Artificial intelligence.
    Abstract: Introduction to Intelligent Manufacturing -- Intelligent optimization of cutting parameters -- Intelligent Optimization of Process Plans -- Intelligent Workshop and Scheduling -- Intelligent Integration of Process Planning and Scheduling -- Case of Intelligent Manufacturing.
    Abstract: This book focuses on the basic common technologies of smart manufacturing system and smart workshop. The applications of artificial intelligence in manufacturing system have been addressed from different perspectives, for example, smart optimization of cutting parameters, smart process planning, smart workshop and scheduling, and smart integration of process planning and scheduling. In the process of writing, this book highlights the combination of basic theory and engineering practice. In the basic theory part, the book clearly explains the basic issues of smart manufacturing system, including the core support technology of smart manufacturing, the basic theories and models of cutting parameter optimization, process optimization and scheduling, and the basic concepts and intelligence of smart manufacturing workshop model, optimization methods, etc. In the engineering practice part, this book enumerates a large number of research cases, trying to clearly demonstrate the basic problems of manufacturing system intelligence, and each chapter is accompanied by typical cases to help readers better understand and master the basic theories involved in stamping.
    DOI: 10.1007/978-981-99-2011-2
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    BSZ
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Multidimensional Signals, Augmented Reality and Information Technologies : Proceedings of 3DWCAI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819970117
    Language: English
    Pages: 1 Online-Ressource(XII, 384 p. 214 illus., 156 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 374
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Image processing.
    Abstract: 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.
    Abstract: 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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    BSZ
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Intelligent Systems, Business, and Innovation Research (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031368950
    Language: English
    Pages: 1 Online-Ressource(XVII, 978 p. 252 illus., 218 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 489
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering ; Engineering mathematics.
    Abstract: 1.Universal Adversarial Perturbation -- Automated Environmental Mapping with Behavior Trees -- Multi-objective Automatic Clustering with Gene Rearrangement -- Impact of immersive technology and virtual work environment, on innovative work behaviour -- Innovation capability and the relationship between entrepreneurial resources and micro-business performance. -- Impact of Cloud Computing as a digital technology on SMEs sustainability -- Digital innovation and agri-business -- The Usage of Artificial Intelligence in management process -- Artificial Intelligence to Human Resources Management -- others.(Green Finance, Digital Finance, and their challenges on traditional businesses -- Artificial Intelligence and Public Governance: citizens perspective in the context of a developing nation -- Fintech Innovations and the potential for green investment -- Blockchains, tokens and entrepreneurship).
    Abstract: Intelligent systems research is a multidisciplinary field that focuses on the development of systems that can perceive, reason, and act autonomously. This can include areas such as machine learning, artificial intelligence, natural language processing, and robotics. The goal of intelligent systems research is to develop systems that can understand, learn from, and adapt to their environment, to perform tasks that would typically require human intelligence. Business and innovation research is an interdisciplinary field that examines how organizations can create, develop, and implement new ideas, products, and services. This can include areas such as organizational behaviour, strategic management, and marketing. The goal of business and innovation research is to understand how organizations can foster an environment that encourages creativity and innovation, and how they can develop and implement new ideas in a way that leads to success. Intelligent Systems, Business and Innovation Research is a research area that brings together these two fields to study the use of intelligent systems and technologies in the business context to drive innovation, improve operational efficiency and effectiveness of the organization. The book aims to understand how intelligent systems can be used in business applications, how to design and implement them, how to manage the associated challenges, and how to leverage them to foster innovation, create new business models, and gain competitive advantage. It offers guidance on how to navigate potential conflicts and challenges that may arise during multidisciplinary research in areas such as Industry 4.0, Internet of Things, modern machine learning, software agent applications, and data science. The book focuses on the various fields in which intelligent systems play a critical role in enabling the development of advanced technologies that can perform tasks that would typically require human intelligence. For example, in smart/control systems, intelligent algorithms can be used to optimize the performance of machines and devices, while in cyber security, they can be used to protect networks and data from cyber-attacks. In bioinformatics, intelligent systems can be used to analyse large amounts of biological data, while in virtual reality and robotics, they can be used to create realistic and responsive simulations and automatons. Additionally, the book also highlights the rapidly advancing theoretical foundations of fuzzy sets, mathematical logic, and non-classical logic. These are important theoretical frameworks for the development of intelligent systems, as they provide the foundation for the representation and manipulation of uncertainty, complexity, and imprecision. These theoretical foundations are essential in the development of intelligent systems that can make decisions and perform tasks in uncertain, complex, and dynamic environments.
    DOI: 10.1007/978-3-031-36895-0
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    BSZ
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477157
    Language: English
    Pages: 1 Online-Ressource(XII, 873 p. 335 illus., 274 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 824
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: 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: 10.1007/978-3-031-47715-7
    URL: lizenzpflichtig
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    BSZ
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Automatic Control and Emerging Technologies : Proceedings of ACET 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819701261
    Language: English
    Pages: 1 Online-Ressource(XII, 833 p. 546 illus., 459 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1141
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Artificial intelligence.
    Abstract: ADRC control of an unmanned under-actuated aerial vehicle -- An optical-flow-assisted navigation method for UAVs using Sage-Husa EKF -- Critical Success Factors of Blockchain Implementation in the Automotive Supply Chain Management: Contribution through an Interpretive Structural Model -- Wireless Communication Systems Applied To Ev Wireless Charger: State of the art -- Enhancement of an electric vehicle's state of charge estimation using an extended Kalman filter -- Observer-based Controller Design for a Class of Discrete-Time Takagi-Sugeno Models: Application to One-Link Flexible Joint Robot.
    Abstract: This book contains the original, peer-reviewed research papers from the International Symposium on Automatic Control and Emerging Technologies, held in Kenitra, Morrocco, on July 11-13, 2023. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence. The papers showcased here share the latest findings on topics with potential for academic research and industrial applications, making the book a valuable resource for researchers, engineers, and university students alike.
    DOI: 10.1007/978-981-97-0126-1
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    BSZ
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477188
    Language: English
    Pages: 1 Online-Ressource(XII, 905 p. 448 illus., 340 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 825
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: 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: 10.1007/978-3-031-47718-8
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    BSZ
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Soft Computing and Signal Processing : Proceedings of 6th ICSCSP 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984510
    Language: English
    Pages: 1 Online-Ressource(XXXVI, 643 p. 319 illus., 253 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 840
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Cloud Computing. ; Internet of things.
    Abstract: Review Of Integrated Dashboard Model For Performance Measurements -- An Empirical Analysis Of Lung Cancer Detection And Classification Using CT Images -- Species Identification Of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN) -- Optimized Analysis Of Emotion Recognition Through Speech Signals -- Estimation Of Impurities Present In An Iron Ore Using CNN -- Convolutional Neural Network And Recursive Feature Elimination Based Model For The Diagnosis Of Mild Cognitive Impairments -- Secure Identity Based Authentication For Emergency Communication -- IOT-Based Smart Wearable Devices Using Very Large Scale Integration (VLSI) Technology -- Camera And Voice Control Based Human Computer Interaction Using Machine Learning -- Anomaly Detection In Classroom Using Convolutional Neural Networks -- Efficient Vlsi Architectures Of Multimode 2D Fir Filter Bank Using Distributed Arithmetic Methodology -- A Systematic Study And Detailed Performance Assessment Of SDN Controllers Across A Wide Range Of Network Architectures -- An Image Processing Approach For Weed Detection Using Deep Convolutional Neural Network -- Trust And Secured Routing In Mobile AD HOC Network Using Block Chain -- Underwater Image Quality Assessment And Enhancement Using Active Inference -- A Machine Learning And Deep Learning Based Web Application For Crop And Fertilizer Recommendation And Crop Disease Prediction -- The Hybrid Model Of LSB – Technique In Image Steganography Using Aes And Rsa Algorithm -- Secure Trust Based Attribute Access Control Mechanism Using FK-MFCMC AND MOEHO-XGBOOST Techniques -- Designing Multiband Patch Antenna For 5G Communication System -- Applications Of AI Techniques In Healthcare And Wellbeing Systems -- Intelligent One Step Authentication Using Machine Learning Model For Secure Interaction With Electronic Devices -- Development Of Automated Vending Machine For The Application Of Dispensing Of Medicines -- Multiband Micro-Strip Patch Antenna For C/X/KU/K Band Applications -- Islanding Detection And Prevention Of Blackout Of Distribution System Using Decision Tree Algorithm Based Load Shedding -- Propogation Of Computer Worms – A Study.
    Abstract: 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: 10.1007/978-981-99-8451-0
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    BSZ
    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Digital Technologies and Distributed Registries for Sustainable Development : Legal Challenges (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031510670
    Language: English
    Pages: 1 Online-Ressource(X, 185 p.)
    Edition: 1st ed. 2024.
    Series Statement: Law, Governance and Technology Series 64
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Information technology ; Mass media ; Artificial intelligence. ; Sustainability.
    Abstract: 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.
    Abstract: 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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    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Data Science and Applications : Proceedings of ICDSA 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978205
    Language: English
    Pages: 1 Online-Ressource(XX, 535 p. 231 illus., 183 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 819
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Comparative Analysis of various SRAM bit cells for 32nm technology node -- Uncovering the Threat: Exploring Covert Channel Attacks via Audio Files in Android Applications -- Emotion Recognition through Facial Expressions from Images using Deep Learning Techniques -- Optimization of Process Parameters In The Abrasive Waterjet Machining Using Bees Algorithm -- Advancement on Steganography: A Review -- Ethereum Blockchain For Private Equity Crowdfunding : Enabling Seamless USDC and Share Token Transactions -- Graph Convolutional Neural Network for IC50 Prediction Model using Amyotrophic Lateral Sclerosis Targets -- Cardiovascular Disease Prediction using Deep Learning Models -- Classification of Skin Cancer Using Integrated Methodology -- Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification Using Prominent Machine Learning Classifiers on X-rays -- Cyber - Crime Analysis of India using Machine Learning -- Mapping a Conceptual Model of Color Forecasting: A Review of Machine Learning Algorithms for Enhanced Prediction Accuracy and Efficiency -- Estimation of Net Primary Productivity using CASA Biosphere Model in Hyderabad and Roorkee Region of India -- Machine Learning Models for Chronic Renal Disease Prediction -- ARTHRO - Knee Osteoarthritis Detection Using Deep Learning -- Improvised Real Time Tweet Analysis for Brand Recognition -- AI Based Facial Emotion Recognition -- Improved Genetic Algorithm in a Static Environment for the Robotic Path Planning Problem -- Development of An Event-based Dataset For Abnormal Activity Detection -- Media Text Analysis based on One-Dimensional Hashtag Embeddings -- Occluded Face Recognition using Non-global Features Extraction and K-means Clustering Algorithm -- Brain Tumor Segmentation Using Gaussian Based U-Net Architecture -- Utility of smoothing techniques in yield curve modeling for non-steady state data of Sri Lanka capital market -- WSN based secure and energy efficient smart parking management system (SPMS)using FFA-ANN -- Multilingual approach to decode Shree Rama Prashanavali using Character Recognition and String Matching -- An enhanced approach for automatic sound event detection using neural networks -- Detecting Issues Related to Environmental, Social, and Corporate Governance using SEC-BERT -- Comprehensive Analysis of Deep Learning Models for Brain Tumor Detection from Medical Imagine -- Face Counting based on pre-trained machine learning models: A brief systematic review -- A Machine Learning - Driven Soil Nutrient, and Crop Yield Recommendation Platform with Pesticide Suggestions -- A Machine Learning Approach to optimize the water consumption for irrigation of rice crop -- Raithubot: An RLHF-Finetuned Telugu Chatbot for Farmers -- UAV Enabled Systems for Industry 4.0: Applications and Challenges -- User Reception is Everything: Using a Neural Network to Predict iOS App Ratings -- A Survey of Motion Prediction for Autonomous Vehicles using the Lyft Dataset -- Dengue Fever Outbreak Prediction using Machine Learning Models: A Comparative Study Dengue Fever -- Improved Appearance Model for Handling Occlusion in Vehicle Tracking -- Enhanced Dynamic Vehicle Detection and Tracking to Improve the Quality of Image Processing using Deep Learning -- Construction of Substitution Box from Nordstrom-Robinson (N16) Code -- Natural Language to Unified Modeling diagrams A Deep Learning Approach -- Time-dependent Enhanced Personalized Semantic Map-based Transportation Mode Recommendation System -- Web Based Threat Identification Using Classification Algorithm.
    Abstract: 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: 10.1007/978-981-99-7820-5
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  • 13
    Online Resource
    Online Resource
    Computational Intelligence in Healthcare Informatics (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819988532
    Language: English
    Pages: 1 Online-Ressource(XXXIII, 388 p. 160 illus., 117 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1132
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Medical informatics. ; Artificial intelligence.
    Abstract: Refining Metabolic Network by Fuzzy Matching of Metabolite Names for Improving Metabolites Ranking towards the Diseases -- Learning from Imbalanced Data in Healthcare: State-of-the-art and Research Challenges -- A Review on Metaheuristic Approaches for Optimization Problems -- Diabetes Prediction: A Comparison between Generalised Linear Model and Machine Learning -- Prediabetes Prediction using Response Surface Methodology and Probabilistic Neural Networks Model in an Ethnic South Indian Population.
    Abstract: The book presents advancements in computational intelligence in perception with healthcare applications. Besides, the concepts, theory, and applications in various domains of healthcare systems including decision making in healthcare management, disease diagnosis, and electronic health records will be presented in a lucid manner. To achieve these objectives, both theoretical advances and its applications to healthcare problems will be stressed upon. This has been done to make the edited book more flexible and to stimulate further research interest in topics. The book is divided into four sections such as theoretical foundation of computational intelligence techniques, computational intelligence in analyzing health data, computational intelligence in electronic health record (EHR), and computational intelligence in ethical issues in health care.
    DOI: 10.1007/978-981-99-8853-2
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  • 14
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    Online Resource
    Information Systems for Intelligent Systems : Proceedings of ISBM 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819986125
    Language: English
    Pages: 1 Online-Ressource(XIV, 617 p. 250 illus., 197 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 379
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Business ; Artificial intelligence. ; Business information services.
    Abstract: This book includes selected papers presented at the World Conference on Information Systems for Business Management (ISBM 2023), held in Bangkok, Thailand, on September 7–8, 2023. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.
    DOI: 10.1007/978-981-99-8612-5
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  • 15
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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
    Language: English
    Pages: 1 Online-Ressource(XIII, 380 p. 113 illus., 90 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 828
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: 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. .
    Abstract: 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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  • 16
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    Cognitive Computing for Machine Thinking (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819704521
    Language: English
    Pages: 1 Online-Ressource(X, 92 p. 14 illus., 8 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Innovations in Sustainable Technologies and Computing
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: Chapter 1: Natural and Artificial Intelligence: Overview -- Chapter 2: AI and Cognitive Computing: Machine and Human Perspective -- Chapter 3: Internet of Behavior -- Chapter 4: Rethinking Machine Learning and Deep Learning -- Chapter 5: Machine Thinking: New Paradigm Shift -- Chapter 6: Cognitive Computing -- Chapter 7: Business Cases. - Chapter 8: Conclusions.
    Abstract: This book presents cognitive modeling along with the new paradigm machine thinking to enhance existing AI power and address its current limitations. This book provides overview of natural and artificial intelligence along with the computing models used currently. The need of advancing the current models is presented with suitable examples. The business case studies presented in different domains provide possible use of augmented intelligence with the proposed machine thinking paradigm. This book is targeted at academicians, researchers, students, professionals who belong to disciplines which involves intelligent computing and modelling human thinking. It provides possible multidisciplinary research directions including social psychology, artificial intelligence, HCI, cognition for applications in various domains.
    DOI: 10.1007/978-981-97-0452-1
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  • 17
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    Artificial Intelligence of Things for Achieving Sustainable Development Goals (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031534331
    Language: English
    Pages: 1 Online-Ressource(XIV, 388 p. 105 illus., 92 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 192
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Environmental sciences ; Engineering
    Abstract: 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.
    Abstract: 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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  • 18
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    Evolutionary Artificial Intelligence : Proceedings of ICEAI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984381
    Language: English
    Pages: 1 Online-Ressource(XIV, 568 p. 286 illus., 211 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Image processing. ; Algorithms.
    Abstract: 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.
    Abstract: 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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  • 19
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    Fourth Congress on Intelligent Systems : CIS 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990375
    Language: English
    Pages: 1 Online-Ressource(XVIII, 476 p. 220 illus., 184 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 868
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: 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.
    Abstract: 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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  • 20
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    Proceedings of ELM 2022 : Theory, Algorithms and Applications (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031550560
    Language: English
    Pages: 1 Online-Ressource(V, 81 p. 32 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Proceedings in Adaptation, Learning and Optimization 18
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Application of ELM model to the motion detection of vehicles under moving background -- Distributed memory-efficient algorithm for Extreme Learning Machines based on Spark -- Does streaming affect video game popularity? -- Massive Offline Signature Forgery Detection with Extreme Learning Machines -- Importance of the Activation Function in Extreme Learning Machine for Acid Sulfate Soil Classification.
    Abstract: This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).
    DOI: 10.1007/978-3-031-55056-0
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  • 21
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    Proceedings of International Joint Conference on Advances in Computational Intelligence : IJCACI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819701803
    Language: English
    Pages: 1 Online-Ressource(XIV, 813 p. 305 illus., 242 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Natural language processing (Computer science). ; Artificial intelligence
    Abstract: Conversational Swarm Intelligence (CSI) enhances groupwise deliberation -- Enhancing Biometrics with Auto Encoder: Accurate Finger Detection from Fingerprint Images -- Minimization of Structural Systems Eccentricity by means of the Imperialist Competitive Algorithm -- Towards Early Detection of Neonatal Birth Asphyxia Utilizing Ensemble Machine Learning Approach -- Data Hiding System based on variations in Image Interplation algorithms -- Fault assessment and early performance prediction of PV module using machine learning -- Speeding classification by a deep learning audio analysis system optimized by the reptile search algorithm -- Exploring Sentiments in Text: A Survey of Implicit and Explicit Aspect-Based Sentiment Analysis -- A Comprehensive Review on Prediction of Blood Glucose Level in Type-1 Diabetic Using Machine Learning Techniques -- Effect of Phosphorylation on the Circadian Clock of Drosophila by Analytical and Graph Theory Matrix Approach -- Exploiting Deep Learning Techniques for Autistic Face Recognition -- A Comprehensive Review of Migration of Big Data Applications to Public Clouds: Current Requirements, Types, Strategies and Case Studies -- Potato Leaf Disease Detection and Classification Using VGG16 -- Assessing Student Engagement Levels Using Speech Emotion Recognition -- K-means Clustering and Support Vector Machine for Assamese Dialect Identification -- Emotion recognition in speech using Convolutional Neural Networks (CNNs) -- Single Value Neutrosophic Virtual Machine Resources Optimization Route Selection in Multimodal Transport Networks Incorporating Disruption -- A Smart Surveillance System to detect modern gun using YOLOv5 algorithm: A Deep Learning Approach -- A Comparative Analysis of models for Dark Web Data Classification.
    Abstract: This book gathers outstanding research papers presented at the 7th International Joint Conference on Advances in Computational Intelligence (IJCACI 2023), held in hybrid mode at South Asian University, New Delhi, India during October 14–15, 2023. IJCACI 2023 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
    DOI: 10.1007/978-981-97-0180-3
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  • 22
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    Strategic Blueprint for Enterprise Analytics : Integrating Advanced Analytics into Data-Driven Business (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558856
    Language: English
    Pages: 1 Online-Ressource(XVII, 245 p. 64 illus., 34 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 150
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    Keywords: Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.
    DOI: 10.1007/978-3-031-55885-6
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  • 23
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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
    Language: English
    Pages: 1 Online-Ressource(X, 668 p. 453 illus., 356 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1170
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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  • 24
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    Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819719877
    Language: English
    Pages: 1 Online-Ressource(XIV, 220 p. 69 illus., 25 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1148
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Natural language processing (Computer science).
    Abstract: This book emphasises the need for language resource development and its impact on society. It covers latest AI based tools and techniques used to preserve indigenous and endangered languages. The book also highlights latest AI based technologies such as Generative Pre-trained Transformer (GPT) towards endangered language preservation. It discusses morphology analysis, translation support and shallow parsing of various tribal languages of India and abroad. This book tries to answer how digital technologies can make language revitalization accessible to future generations.
    DOI: 10.1007/978-981-97-1987-7
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  • 25
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    Software Engineering and Management: Theory and Application : Volume 16 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031551741
    Language: English
    Pages: 1 Online-Ressource(VI, 238 p. 103 illus., 78 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1137
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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  • 26
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    Recent Advances in Logo Detection Using Machine Learning Paradigms : Theory and Practice (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031598111
    Language: English
    Pages: 1 Online-Ressource(XII, 119 p. 64 illus., 63 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 255
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Deep Convolutional Neural networks -- Introduction to Logo Detection -- Weakly Supervised Logo Detection Approach.
    Abstract: This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using deep learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues. This book provides numerous ways that deep learners can use for logo recognition, including: Deep learning-based end-to-end trainable architecture for logo detection Weakly supervised logo recognition approach using attention mechanisms Anchor-free logo detection framework combining attention mechanisms to precisely locate logos in the real-world images Unsupervised logo detection that takes into account domain-shift issues from synthetic to real-world images Approach for logo detection modelingdomain adaption task in the context of weakly supervised learning to overcome the lack of object-level annotation problem. The merit of our logo recognition technique is demonstrated using experiments, performance evaluation, and feature distribution analysis utilizing different deep learning frameworks. The book is directed to professors, researchers, practitioners in the field of engineering, computer science, and related fields as well as anyone interested in using deep learning techniques and applications in logo and various object detection tasks. .
    DOI: 10.1007/978-3-031-59811-1
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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
    Language: English
    Pages: 1 Online-Ressource(XVII, 133 p. 33 illus., 6 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Fuzziness and Soft Computing 427
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    Legal Aspects of Autonomous Systems : A Comparative Approach (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031479465
    Language: English
    Pages: 1 Online-Ressource(XII, 382 p. 8 illus., 1 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Data Science, Machine Intelligence, and Law 4
    Parallel Title: Erscheint auch als
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    Keywords: Information technology ; Mass media ; Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence.
    Abstract: As computational power, the volume of available data, IT systems’ autonomy, and the human-like capabilities of machines increase, robots and AI systems have substantial and growing implications for the law and raise a host of challenges to current legal doctrines. The main question to be answered is whether the foundations and general principles of private law and criminal law offer a functional and adaptive legal framework for the “autonomous systems” phenomena. The main purpose of this book is to identify and explore possible trajectories for the development of civil and criminal liability; for our understanding of the attribution link to autonomous systems; and, in particular, for the punishment of unlawful conduct in connection with their operation. AI decision-making processes – including judicial sentencing – also warrant close attention in this regard. Since AI is moving faster than the process of regulatory recalibration, this book provides valuable insights on its redesign and on the harmonization, at the European level, of the current regulatory frameworks, in order to keep pace with technological changes. Providing a broader and more comprehensive picture of the legal challenges posed by autonomous systems, this book covers a wide range of topics, including the regulation of autonomous vehicles, data protection and governance, personality rights, intellectual property, corporate governance, and contract conclusion and termination issues arising from automated decisions, blockchain technology and AI applications, particularly in the banking and finance sectors. The authors are legal experts from around the world with extensive academic and/or practical experience in these areas.
    DOI: 10.1007/978-3-031-47946-5
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  • 29
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    Advances in Data and Information Sciences : Proceedings of ICDIS 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819969067
    Language: English
    Pages: 1 Online-Ressource(XXII, 547 p. 231 illus., 177 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 796
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data structures (Computer science). ; Information theory. ; Image processing ; Computer vision.
    Abstract: Chapter 1: Emotion-Aware Music Recommendations: A Transfer Learning Approach using Facial Expressions -- Chapter 2: A novel image captioning approach using CNN & MLP -- Chapter 3: Route Optimizations Using Genetic Algorithms for Wireless Body Area Networks -- Chapter 4: Prediction Model for the Health Care Industry Using Machine Learning -- Chapter 5: An Efficient Framework for Crime Prediction using Feature Engineering and Machine Learning -- Chapter 6: Development of an Online collectable items marketplace using modern practices of SDLC and Web Technologies -- Chapter 7: Facial Emotion Recognition using Machine Learning Algorithms: Methods and Techniques -- Chapter 8: Similar intensity based Euclidean distance feature vector for mammogram image classification -- Chapter 9: Prediction of Lumpy Virus Skin Disease using Artificial Intelligence -- Chapter 10: Two-Factor Authentication Using QR Code and OTP. etc.
    Abstract: This book gathers a collection of high-quality peer-reviewed research papers presented at the 5th International Conference on Data and Information Sciences (ICDIS 2023), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on June 16–17, 2023. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
    DOI: 10.1007/978-981-99-6906-7
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    Machine Learning Applications for Intelligent Energy Management : Invited Chapters from Experts on the Energy Field (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479090
    Language: English
    Pages: 1 Online-Ressource(XIV, 226 p. 110 illus., 107 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Learning and Analytics in Intelligent Systems 35
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Electrical engineering. ; Artificial intelligence. ; Energy policy. ; Energy and state.
    Abstract: AI-Powered Transformation and Decentralization of the Energy Ecosystem -- An Explainable AI-based Framework for Supporting Decisions in Energy Management -- The big data value chain for the provision of AI-enabled energy analytics services -- MODULAR BIG DATA APPLICATIONS FOR ENERGY SERVICES IN BUILDINGS AND DISTRICTS: DIGITAL TWINS, TECHNICAL BUILDING MANAGEMENT SYSTEMS AND ENERGY SAVINGS CALCULATIONS -- Neural network based approaches for fault diagnosis of photovoltaic systems -- Clustering of building stock -- BIG DATA SUPPORTED ANALYTICS FOR NEXT GENERATION ENERGY PERFORMANCE CERTIFICATES -- Synthetic data on buildings.
    Abstract: As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector. The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
    DOI: 10.1007/978-3-031-47909-0
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    Advances in Knowledge Discovery and Management : Volume 10 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031404030
    Language: English
    Pages: 1 Online-Ressource(XVI, 129 p. 68 illus., 49 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1110
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining.
    Abstract: 1.New Methods for Compressing Table Constraints -- 2.Construction and Elicitation of a Black Box Model in the Game of Bridge -- 3.Knowledge graph publishing with anatomy, toward a new privacy and utility trade-off -- 4.Comparison of Short-Text Embeddings for Unsupervised Event Detection in a Stream of Tweets -- 5.Multilingual Question Answering applied to Conversational Agents -- 6.Reinforcement Learning for Expert Finding from Web Search Results -- List of Contributors -- Author Index.
    Abstract: This book comprises a distinguished collection of cutting-edge scientific contributions. Encompassing a wide range of subjects, it delves into machine learning, data mining, text analysis, data visualization, knowledge management, and more. The included articles are expanded versions of carefully selected top papers that were originally presented at the EGC’2020 conferences held in Paris (France, January 27-31, 2020). It is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. These extended versions underwent an additional peer-review process, building upon the already accepted long-format papers from the conference. The selection of long and short papers for the conference itself followed a rigorous double-blind peer-review process, evaluating numerous submissions (with a long paper acceptance rate of approximately 25%). For more details about the EGC society, please consult egc.asso.fr.".
    DOI: 10.1007/978-3-031-40403-0
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    The Emergence of Mind : Where Technology Ends and We Begin (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031468353
    Language: English
    Pages: 1 Online-Ressource(XIII, 170 p.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Technology ; Philosophy of mind. ; Artificial intelligence.
    Abstract: Chapter 1. Writing the Human Narrative -- Chapter 2. Where We Begin -- Chapter 3. The Science of Mindlessness -- Chapter 4. Where Computation Ends -- Chapter 5. Relational Science -- Chapter 6. Life and Mind -- Chapter 7. Thinking as a Creative Act -- Chapter 8. Emerging Minds./.
    Abstract: "Whether or not you accept the conventional wisdom that computational intelligence and human intelligence are essentially the same, I recommend that you ponder Jeffrey Kane's timely and persuasive book. " —Howard Gardner, Hobbs Research Professor of Cognition and Education, Harvard Graduate School of Education “In this breathtaking journey through both the works of classic and contemporary philosophers and scientists, Kane sometimes offers agreements but also compelling challenges, leaving the reader filled with the excitement of the mission. While so much has been learned, there is so much more to be understood. Kane illuminates that the journey to understanding how the brain gets mental has just begun.” —Mike Gazzaniga, Director of the SAGE Center for the Study of Mind, University of California, Santa Barbara While it may appear that generative AI has mastered the mystery of the human mind and released its full power, The Emergence of Mind: Where Technology Ends and We Begin demonstrates the profound and fundamental limitations of the technology and its use as a model of human thinking. In response, the book offers an emergent model of the human mind rooted in our experiences as living, sentient, social and conscious beings. The text explores the nature of meaning in human cognition and the critical importance of the experience of ideas. In so doing, it offers insights into the cultivation of specific generative capacities of the human mind. Jeffrey Kane, is a professor of Philosophy and Education at Long Island University. After serving as the Academic Vice-President of the University, Dr. Kane returned to faculty to teach and to write about the experiential foundations of human thinking. Among his publications are Beyond Empiricism: Michael Polanyi Reconsidered and a book of poetry, life as a novice. He lives in East Hills NY with his wife Janet. .
    DOI: 10.1007/978-3-031-46835-3
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    Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978625
    Language: English
    Pages: 1 Online-Ressource(XX, 571 p. 205 illus., 169 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 818
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: 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.
    Abstract: 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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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819980314
    Language: English
    Pages: 1 Online-Ressource(XXIII, 566 p. 170 illus., 143 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 812
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: 1. A Study on Optimizing the Personalization of Recom-mendations & Customer Services Using Artificially Intel-ligent Neural Networks to Improve Electronic commerce -- 2. Conceptualization and frames of reference of the Teaching Digital Competence. An approach from Higher Education -- 3. Stroke risk stratification using neural networks -- 4. Vitiligo Detection Using Machine Learning Algorithms -- 5. Enhanced Monkey-Pox with image processing technology utilizing deep learning for classification -- 6. Location Information for Disaster Management and Infectious Disease Control Focusing on Japan -- 7. Information Technology Adoption in Legislative Work: The Lebanese Parliament Model -- 8. Energy Harvesting Technologies for Wireless Sensor Networks.
    Abstract: 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: 10.1007/978-981-99-8031-4
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    When Robots Hug (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031508035
    Language: English
    Pages: 1 Online-Ressource(X, 96 p.)
    Edition: 1st ed. 2024.
    Series Statement: Science and Fiction
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Fiction. ; Artificial intelligence. ; Telecommunication. ; User interfaces (Computer systems). ; Human-computer interaction. ; Cooperating objects (Computer systems).
    Abstract: Introduction -- The DARPA Dilemma -- Scattered Avatars -- Topsy Turing -- Fractured Memories -- Artificial Neurogenesis -- The Assimilation -- The Collective Singing the ‘I Can’t Decrypt Them’ Blues -- SANDI’s Environment -- Chatbot Lydia -- Asimov’s Failure -- The Hackers get Hacked -- Dangerous Liaisons -- SANDI’s Dilemma -- Dead. Yet Alive -- Answers at Last -- Preparing to Bring them Home -- The Collection Process -- The Final Preparations -- The Integration Begins -- The Integration of MAXWELL -- The Integration of ISAAC -- The Integration of SANDI -- The Integration of ELYSE -- When Robots Hug -- The Science Behind the Novel -- Conclusion.
    Abstract: By 2027, it had been seven years since the scientists’ sea-changing research on artificial psychology and robotics. The work debuted around the same time as Large Language Model Chatbots, and the power of the integration of the two technologies put many industries in a tailspin. The commercial and defense industries especially were still scrambling to regulate their use in research and universities. The sought-after scientists signed with DARPA to build reliable and secure AI entities, but the agency grew fearful of the technology’s power and ultimately decided it was too dangerous to bring to market and demanded the scientists destroy the work. The researchers couldn’t bring themselves to discard 20 years of research, so instead sent the entities to various research labs around the world. But unbeknownst to them, each AI-entity embraced its new home, growing, adapting, evolving, and ultimately connecting beyond what the researchers could envision. In the end, as the scientists catch up to each one, they realize the entities have discovered a very human means of interacting: the power of physical contact; and not physical contact between humans and technology, but physical contact between robotic entities. And with this discovery, the entities join forces to only grow stronger. This development ushers in a new paradigm where the difference between AI-entities and human entities becomes less and less discernible. All the AI and robotic science featured in the book is real; the story line is fictional, but with how fast innovation moves, it’s not hard to envision.
    DOI: 10.1007/978-3-031-50803-5
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    Algorithmic Democracy : A Critical Perspective Based on Deliberative Democracy (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031530159
    Language: English
    Pages: 1 Online-Ressource(XIII, 257 p.)
    Edition: 1st ed. 2024.
    Series Statement: Philosophy and Politics - Critical Explorations 29
    Parallel Title: Erscheint auch als
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    Keywords: Political science ; Ethics. ; Political science. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    Artificial Intelligence: Theory and Applications : Proceedings of AITA 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984763
    Language: English
    Pages: 1 Online-Ressource(XIX, 489 p. 211 illus., 185 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 843
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data.
    Abstract: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
    DOI: 10.1007/978-981-99-8476-3
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    Machine intelligence for research and innovations : Proceedings of MAiTRI 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819981298
    Language: English
    Pages: 1 Online-Ressource(XVII, 353 p. 155 illus., 136 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 832
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Natural language processing (Computer science). ; Image processing ; Computer vision. ; Machine learning.
    Abstract: 1. A Simple Algorithm to Secure Data Dissemination in Wireless Sensor Network -- 2. Analysis of Pollard Rho attacks over ECDLP -- 3. Modelling Networks with Attached Storage using Perfect Italian Domination -- 4. Application of Varieties of Learning Rules in Intuitionistic Fuzzy Artificial Neural Network -- 5. Automated tool for toxic comments on YouTube -- 7. Directional Edge Coding for Facial Expression Recognition System -- 6. A Cascaded 2DOF-PID control technique for drug scheduling of chemotherapy system.
    Abstract: The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Panjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.
    DOI: 10.1007/978-981-99-8129-8
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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
    Language: English
    Pages: 1 Online-Ressource(XX, 571 p. 256 illus., 202 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 837
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    Systems, Smart Technologies and Innovation for Society : Proceedings of CITIS’2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031520907
    Language: English
    Pages: 1 Online-Ressource(XIV, 328 p. 164 illus., 145 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 871
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Part I: Mobility -- Low-Cost Robotic System of Detection of Anti-Personal Metal Mines -- Life cycle assessment of the Polyethylene Terephthalate (PET) waste bottles recycling process of a local industry in Guayaquil -- Flood risk analysis in an Andean watershed by integrating satellite data and multicriteria analysis. -- Assessing the Growth of Electric and Hybrid Vehicles in Ecuador’s Transportation Sector: A Technical Analysis of Their Impact on the Energy Matrix -- Evaluation of urban freight distribution in a medium-sized city: Ecuadorian case study -- Assessing the Performance of Electric Bicycles for Active Commuting in Higher Education: A Case Study of the UPS Cuenca Campus -- Analysis of Energy Efficiency Electric Vehicles Using a Driving Cycle on an Established Route in the City of Ambato -- A Systematic Literature Review of Tire Management in Ecuador -- Analysis of Cycle Gait on Different Surfaces using Inertial Sensors -- Data analysis applied to driver profile data obtained through vehicle telemetry and classification algorithms -- Development of an LSTM-based Model with Attention Mechanism for Detection of Traffic’s Officer Hand Gestures for Autonomous Vehicles in Ecuador -- Urban Digital Twins for Synthetic Data of Individuals with Mobility Aids in Curitiba, Brazil, to Drive Highly Accurate AI Models for Inclusivity -- English language teaching through the use of immersive environments supported by virtual reality -- Design and Implementation of Photovoltaic Energy Storage Systems Based on Batteries of Hybrid cars using a Second- Life Method -- Bibliometric review on a hybrid learning model with VLEs from a higher education context -- Part II: Sustainability and environment -- Simulation of the Flow behavior in the storage tank of a Hydropower using OpenFOAM -- Exploring the norm activation model together with external influences and environmental moral values: The case of Guayaquil, Ecuador -- Methodological application proposal for energy-electrical evaluation of National Polytechnic School in the context of a sustainable campus -- Louver of coconut fiber and sawdust bonded epoxy resin -- Design Of A Solar Photovoltaic Led System For Outdoor Illumination -- Treatment Of Liquid Effluents From Post-Harvest Flowers Through Advanced Oxidation -- Simulation of Synchronized Controls in Circuit Breakers of Power Transformers and Operation of Reactive Compensation Banks -- Spatial modeling of dissolved oxygen in wastewater from the Quebrada ¨Ortega ¨ of the Quito canton, Pichincha province -- Feasibility analysis of a photovoltaic power generation system using different charge controllers -- Analysis of Aluminum Can Management in Ecuador -- Impact of hydroponic green fodder: A comparative study on the quality of fresh cheese -- Intelligent Monitoring System for fry rearing using Fuzzy Logic -- Automatic classification of squat execution based on inertial sensors and machine learning -- Marine Predator Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization -- Foot Pathology Analyzer.
    Abstract: This book is dedicated to exploring the practical applications and future perspectives of intelligent technologies. It delves into various domains, including industry, mobility, telecommunications, and environmental considerations. The innovative nature of this text enables us to draw connections between technical advancements and experiences aimed at enhancing the integration of emerging technologies on local, national, and regional scales. It showcases the strides made in diverse engineering domains, underlining the book’s multidisciplinary appeal. This book is intended for a wide readership, catering to master's and doctoral students, professors, and researchers in the field of cutting-edge technologies. It also extends its relevance to businesses engaged in engineering development. The contents offer insights into novel methodologies, real-world case studies, and innovative techniques designed to optimize systems, ultimately contributing to societal progress.
    DOI: 10.1007/978-3-031-52090-7
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    Systems, Smart Technologies and Innovation for Society : Proceedings of CITIS´2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031519826
    Language: English
    Pages: 1 Online-Ressource(XIV, 340 p. 180 illus., 154 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 870
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Part I: Industry -- Numerical study through CFD of the behavior of a centrifugal fan for dust extraction systems -- Optimization of the stamping process of oven sides panels for domestic cooking through finite element modeling -- Topological optimization of swing arm for electric motorcycles -- Micromechanical modeling of biobased sisal polylactic acid compounds -- A Proposal of a Fair Voting Ensemble Classifier Using Multi-Objective Optimization -- Physical-Chemical Characterization of Cocoa Oil Subjected to an Accelerated Fermentation Process -- Control system for a cacao drying process: case study cylindrical dryer -- Comparative study of multivariate statistical methods for predicting the academic performance of students at the University of Guayaquil -- Calculation of the efficiency of an electromagnetic coil according to the induction resistance of the pot -- Development of a Control System for a Biomechanical Prosthetic -- The Impact of Intranet Use on Internet Sales During COVID-19: A Study of Companies in Ecuador -- Embedded Systems for Tracking and Detection of Pets through an IoT Network -- Mobile Application for Online Procedures in the Municipality of San Miguel de Ibarra -- Assessment of decommissioning cost of proton therapy centers depending on the shielding material in the building process -- Vehicular Ad-Hoc Network (VANET) -- Part II: Infotelecom -- Use of leaderboards to gamified drive student performance as a motivational strategy in VLE environments -- Microlearning as a learning consolidation strategy for the university blended learning modality in a VLE -- Physical and Organoleptic Evaluation of 12 Cocoa Clones (Theobroma cacao L.) of National Type, in Cocoa Liquor – A Study from Ecuador -- External factors and socioeconomic influence on users acceptance of online payments -- Proposal of evaluation cases for the standardization of the validation activities of neutron unfolding codes -- Function and Management Emulation of CEDIA Backbone: The Ecuadorian Advanced Network Updated From IPv4 to IPv6 -- Implementation of an Intelligent Platform for Sustainable Urban Water Consumption Management: A Case Study of Digital Transformation in Zaruma City, Ecuador -- Governmental portal of the National Transit Agency of Ecuador: Web usability aspects and user satisfaction aimed at the elderly. -- Development of a Web Application for evaluating corporate social responsibility practices -- Performance evaluation of an internet-of-things platform based on open-source -- Development and evaluation of an intelligent chatbot for the management of citizen procedures in the GAD San Miguel de Ibarra -- Software for Speech Therapy Support Through PECS Oriented to Digital Learning Environments For Children With Moderate ASD -- Development of a Brain-Computer Interface to Control Finger Movements of a Robotic Hand -- Proposal of an Agile Approach based on Scrum for Managing Continuing Education Programs -- Development of a Compact Synchrotron Proton Therapy Center Model for Monte Carlo-Based Radiation Protection Studies.
    Abstract: This book is dedicated to exploring the practical applications and future perspectives of intelligent technologies. It delves into various domains, including industry, mobility, telecommunications, and environmental considerations. The innovative nature of this text enables us to draw connections between technical advancements and experiences aimed at enhancing the integration of emerging technologies on local, national, and regional scales. It showcases the strides made in diverse engineering domains, underlining the book’s multidisciplinary appeal. This book is intended for a wide readership, catering to master's and doctoral students, professors, and researchers in the field of cutting-edge technologies. It also extends its relevance to businesses engaged in engineering development. The contents offer insights into novel methodologies, real-world case studies, and innovative techniques designed to optimize systems, ultimately contributing to societal progress.
    DOI: 10.1007/978-3-031-51982-6
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    Advances in Tourism, Technology and Systems : Selected Papers from ICOTTS 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819997589
    Language: English
    Pages: 1 Online-Ressource(XIV, 546 p. 59 illus., 46 illus. in color.)
    Edition: 1st ed. 2024
    Series Statement: Smart Innovation, Systems and Technologies 384
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Tourism. ; Management. ; Big data.
    Abstract: Strategic management of cultural projects - CIM Douro training -- Effects of Internet Access on Tourist Consumption in Mexican Households -- Enhancing Tourist Experiences: Integrating ChatGPT and 360 VR Videos in Tourism and Tourist Psychology -- Residents' perceptions of sustainable tourism development in an emerging destination: a factor-cluster approach -- Data Science in Supporting Hotel Management: application of predictive models to Booking.com guest evaluations -- Organizational Commitment: The role of Organizational Happiness and Quiet Quitting -- Proposal for a Technological Thematic Concept for the Trays Festival Museum -- The Impact of Corporate Governance on Financial Performance: Study for Portuguese Hotel Companies -- The influence of the senior tourist profile on the assessment of the dimensions of well-being and quality of life -- Experiences of Backpackers: an overview of publications -- Importance–Performance Analysis of Oleotourism experience -- Present and Future Digital Media Experiences to Support Travellers’ Decision Process During Online Accommodation Booking: A Systematic Literature Review and Bibliometric Analysis -- Motivating Factors in Choosing a Wine Tourism Destination and Its Impact on Territorial Marketing Policies -- Financial impact of covid-19: perspective from the hospitality and restaurant industry -- The Dynamics of Participant Engagement in a Food Festival: The Soup Congress case in Tomar -- Proposal for the creation of a MOOC on military tourism -- Cross-border tourism: a residents’ perspective of the Iberian Meseta Reserve -- The impact of work-life conflict on employees' emotional well-being and the adoption of quiet quitting – A study case applied to the Portuguese hospitality industry -- Reviving the Templar Tale: Proposal for the creation of an immersive experience through the Templar Heritage of Tomar -- Business Intelligence Tools to Improve Business Strategy -- Technology towards Luxury Brands: preliminary insights on fashion tourism, metaverse and non-fungible token (NFT) -- Applying the Importance-Performance Matrix to the Podence Carnival Festival -- Nutrition Software to the Management and Support of Health and Wellness Tourism: An Approach -- Backpackers’ space-time behaviour in a world heritage City – Porto -- Environmental corporate social responsibility (ECSR) in a price-set competition between private and state-owned hotels -- Tourist Technology Satisfaction: Scale Development and Validation -- Dialogic communication and dialogic loop principle in official websites of tourism – hospitality -- A Fuzzy ELECTRE method to model the risk in credit products for financing tourism experiences -- How wine information seeking and event participation impact knowledge and determines the purchasing behaviour? -- The Role of Sociodemographic Characteristics on the Journey from Brand Experience to Brand Love and Loyalty – Porto. -- Perception of Risk and Identification of Security Measures when visiting Cultural Heritage -- Visiting Porto through the eyes of Eugénio de Andrade -- The Perception of Tourists Regarding the Importance of Influencers in Shaping the Image of a Tourist Destination: The Case of Melgaço (Portugal) -- Social Media and the growth of E-Commerce – Multiple case studies: MusaMakeup and CRU Ecoliving -- Improving accessibility as a strategy for social sustainability in tourism supply -- Fashion as an economic sustainability indicator in tourism destinations’ governance through business participation -- Technology applications in the competitiveness of tourism destinations -- Events Tourism and Hospitality Marketing -- Entrepreneurship and COVID 19: The entrepreneurial challenge in a global pandemic -- Educational Practice: The Domain of Curricular Autonomy (DCA) at Fontes Pereira de Melo School. -- Societies, ICT and Higher Education in the 21st Century: Reflections and Proposals -- The Importance of Digital Marketing in Hospitality: The Case of Hotel Fafense.
    Abstract: 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: 10.1007/978-981-99-9758-9
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    Advances in Real-Time Intelligent Systems : Real-Time Intelligent Systems 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558481
    Language: English
    Pages: 1 Online-Ressource(VIII, 362 p. 157 illus., 134 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 950
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: 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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    Ethics of Medical AI (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031557446
    Language: English
    Pages: 1 Online-Ressource(VII, 257 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: The International Library of Ethics, Law and Technology 24
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Technology ; Medical Ethics. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    Fourth Congress on Intelligent Systems : CIS 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990436
    Language: English
    Pages: 1 Online-Ressource(XVIII, 426 p. 139 illus., 103 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 865
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: 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.
    Abstract: 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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    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
    Language: English
    Pages: 1 Online-Ressource(X, 306 p. 99 illus., 73 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 10
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: 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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    Soft Computing and Signal Processing : Proceedings of 6th ICSCSP 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819986286
    Language: English
    Pages: 1 Online-Ressource(XXXII, 629 p. 289 illus., 225 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 864
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Cloud Computing. ; Internet of things.
    Abstract: 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.
    Abstract: 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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    Data-Centric Security in Software Defined Networks (SDN) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555176
    Language: English
    Pages: 1 Online-Ressource(XIX, 118 p. 38 illus., 2 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 149
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Abstract: 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.
    Abstract: 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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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978861
    Language: English
    Pages: 1 Online-Ressource(XXII, 609 p. 191 illus., 157 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 817
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: 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.
    Abstract: 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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  • 50
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    AI and Neuro-Degenerative Diseases : Insights and Solutions (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031531484
    Language: English
    Pages: 1 Online-Ressource(VI, 181 p. 35 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1131
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    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
    Language: English
    Pages: 1 Online-Ressource(XII, 879 p. 380 illus., 339 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 823
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: 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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    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
    Language: English
    Pages: 1 Online-Ressource(IX, 511 p. 329 illus., 289 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1175
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    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
    Language: English
    Pages: 1 Online-Ressource(IX, 579 p. 309 illus., 246 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1171
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    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
    Language: English
    Pages: 1 Online-Ressource(IX, 585 p. 319 illus., 262 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1173
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031465499
    Language: English
    Pages: 1 Online-Ressource(XX, 503 p. 280 illus., 258 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1126
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Visualizing the Unseen: Unleashing Knowledge Discovery with Lossless Visualizations -- Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling -- Full High-dimensional Intelligible Learning In 2-D Lossless Visualization Space -- Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization -- Parallel Coordinates for Discovery of Interpretable Machine Learning Models -- Visual Knowledge Discovery with General Line Coordinates -- Unveiling Insights: Empowering AI/ML through Visual Knowledge Discovery.
    Abstract: This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges. This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens. .
    DOI: 10.1007/978-3-031-46549-9
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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
    Language: English
    Pages: 1 Online-Ressource(X, 548 p. 24 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Data Science, Machine Intelligence, and Law 3
    Parallel Title: Erscheint auch als
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    Keywords: Information technology ; Mass media ; Artificial intelligence. ; Robotics.
    Abstract: 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.
    Abstract: 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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    Computing Intelligence in Capital Market (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031577086
    Language: English
    Pages: 1 Online-Ressource(V, 65 p. 19 illus., 13 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1154
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Finance. ; Branding (Marketing).
    Abstract: -- 1. Estimating and Evaluation of International Capital Movements in The Perspective of Corporate Economic Geography. -- 2. Wave Net-TSRS Model for Timeseries Prediction in Finance. -- 3. Integrating Decision Analytics and Advanced Modeling in Financial and Economic Systems through Artificial Intelligence. -- 4. Co-movements between Bitcoin and Gold: Multivariate BEKK-GARCH Models. -- 5. An Approach for backtesting and algorithmic trading with liquidity and Hill Climbing algorithm. -- 6. Unleashing Economic Potential: Exploring the Synergy of Artificial Intelligence and Intelligent Automation.
    Abstract: The book is divided into sections according to the content of the chapters. The first section covers AI concepts with NP and financial issues. The second section covers AI techniques in relation to Fintech issues. The remaining sections are implementation and analysis. As science and technology development and algorithms are widely used in various fields, their influence and development have increased efficiency and productivity. The introduction of algorithms in the financial field has not been an exception to this. In recent years, the growth and development of the financial system have been in sync with the growth of technology. Fintechs were born at the intersection of these two sectors. What happens through the application of computer knowledge in the financial field, or the examination of the efficiency and effectiveness of their use and the interaction and combination of these two fields has been written very infrequently in the majority of books. In Fintech, there are problems that researchers focus on such as customer support, portfolio management, trading algorithms, fraud detection, credit risk assessment, insurance, and wealth management. The mentioned problems are complex and are mapped to NP problems in the field of artificial intelligence. In the last two decades, optimization algorithms, neural networks, and deep learning have been widely applied in many scientific and engineering fields to solve the mentioned problems. The purpose of this book is to provide the reader with the most used artificial intelligence methods for scientific and engineering problems. This book is used by students, scientists, and practitioners in various fields. The chapters are self-explanatory, and the reader can read each one separately. They describe the algorithm used, the chosen problem, and the implementation. In addition, practical examples, comparisons, and experimental results are presented.
    DOI: 10.1007/978-3-031-57708-6
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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
    Language: English
    Pages: 1 Online-Ressource(VI, 359 p.)
    Edition: 1st ed. 2024.
    Series Statement: YSEC Yearbook of Socio-Economic Constitutions 2023
    Parallel Title: Erscheint auch als
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    Keywords: Information technology ; Mass media ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    Recent Trends in Intelligence Enabled Research : Selected Papers of Fifth Doctoral Symposium, DoSIER 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819723218
    Language: English
    Pages: 1 Online-Ressource(XVIII, 216 p. 107 illus., 71 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advances in Intelligent Systems and Computing 1457
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Big data.
    Abstract: This book gathers extended versions of papers presented at DoSIER 2023 (Fifth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during December 20–21, 2023). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
    DOI: 10.1007/978-981-97-2321-8
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    Artificial Intelligence in Drug Development : Patenting and Regulatory Aspects (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819729548
    Language: English
    Pages: 1 Online-Ressource(XIII, 149 p. 35 illus., 33 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications
    Parallel Title: Erscheint auch als
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    Keywords: Information technology ; Mass media ; Health services administration. ; Artificial intelligence.
    Abstract: Artificial Intelligence in Drug Development - Nature and Scope -- Analysis of AI Related Patents in the Healthcare -- Regulation of AI in Drug Development -- Policy and Regulation for AI for Indian Drug and Healthcare Industry -- Way forward for Patenting and Regulation in relation to AI.
    Abstract: This book discusses how Artificial Intelligence developments have revolutionized the area of medicine and how companies use them to develop applications. While the book covers the growth of AI in medicine and the early developments in AI based medical tools, it provides an in-depth analysis of the current developments in relation to the area of medical diagnostics. The book focuses on how enterprises and institutes have developed their intellectual property portfolio, particularly patents, in this area. Cross-country patenting analysis helps in understanding key areas of growth in certain markets and also company strategies and arrangements. The introduction of AI based products in market is subject to regulation. The developments in policy and regulation influence the development and deployment of such products into the market. This book brings focus to the development of policy and regulation and how regulatory developments impact the introduction of AI-based healthcare products from a cross-country perspective. Further, how regulatory developments lead to the evolution of standards, build reliability and safety in this area are also examined. The unique aspect of this book is the comprehensive coverage of the dual aspects of the nature and scope of AI-based innovations in health care and the related drug regulatory aspects which are imperative for the understanding for students, researchers, and those who work in this area.
    DOI: 10.1007/978-981-97-2954-8
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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
    Language: English
    Pages: 1 Online-Ressource(X, 490 p. 150 illus., 80 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 969
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Image processing ; Computer vision. ; Machine learning.
    Abstract: 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.
    Abstract: 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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    Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819713264
    Language: English
    Pages: 1 Online-Ressource(XX, 519 p. 180 illus., 128 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 947
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: 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.
    Abstract: 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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    Session-Based Recommender Systems Using Deep Learning (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031425592
    Language: English
    Pages: 1 Online-Ressource(XIX, 301 p. 99 illus., 71 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Information storage and retrieval systems. ; Artificial intelligence. ; Quantitative research.
    Abstract: 1. Introduction to Session-Based Recommender Systems -- 2. Deep Learning Overview -- 3. Deep Discriminative Session-Based Recommender Systems -- 4. Deep Generative Session-Based Recommender Systems -- 5. Hybrid/Advanced Session-Based Recommender Systems -- 6. Learning to Rank in Session-Based Recommender Systems.
    Abstract: This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied. The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the characteristics and applications of each class are discussed separately. The second chapter starts with the basic concepts of deep learning and the characteristics of each model. Then, each deep learning model, along with its architecture and mathematical foundations, is introduced. Next, chapter 3 analyses different approaches of deep discriminative models in session-based recommender systems. In the fourth chapter, session-based recommender systems that benefit from deep generative neural networks are discussed. Subsequently, chapter 5 discusses session-based recommender systems using advanced/hybrid deep learning models. Eventually, chapter 6 reviews different learning-to-rank methods focusing on information retrieval and recommender system domains. Finally, the results of the investigations and findings from the research review conducted throughout the book are presented in a conclusive summary. This book aims at researchers who intend to use deep learning models to solve the challenges related to SBRS. The target audience includes researchers entering the field, graduate students specializing in recommender systems, web data mining, information retrieval, or machine/deep learning, and advanced industry developers working on recommender systems.
    DOI: 10.1007/978-3-031-42559-2
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    Decision Making in Healthcare Systems (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031467356
    Language: English
    Pages: 1 Online-Ressource(VI, 442 p. 42 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 513
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Artificial intelligence.
    Abstract: This book chooses the topic which is due to the editors' experience in modeling projects in healthcare systems. Also, the transfer of experiences is the reason why mathematical modeling and decision making in the field of health are not given much attention. To this end, the new aspect of this book is the lack of reference needed to carry out projects in the field of health for researchers whose main expertise is not modeling. Students of health, mathematics, management, and industrial engineering fields are in the direct readership with this book. Different projects in the field of healthcare systems can use the topics presented in different chapters mentioned in this book.
    DOI: 10.1007/978-3-031-46735-6
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    Transactions on Intelligent Welding Manufacturing : Volume V No. 1 2021 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819996292
    Language: English
    Pages: 1 Online-Ressource(VIII, 150 p. 132 illus., 94 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Transactions on Intelligent Welding Manufacturing
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Industrial engineering. ; Production engineering.
    Abstract: Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process.
    Abstract: The primary aim of this book is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2022 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2022) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
    DOI: 10.1007/978-981-99-9629-2
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477218
    Language: English
    Pages: 1 Online-Ressource(XII, 885 p. 329 illus., 248 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 822
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Control engineering. ; Robotics. ; Automation.
    Abstract: 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: 10.1007/978-3-031-47721-8
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    Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough : Volume 4 (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031430091
    Language: English
    Pages: 1 Online-Ressource(VII, 342 p. 244 illus., 171 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1117
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: Effect of Social Networking Advertisements (SNAs) On Attitudes and Purchase Intention towards Brand Products -- Design of Optimal Waste Management System using IOT and Machine Learning Technique in Educational institutions -- An enhanced Woelfel Image Noise Filter -- PAPR and SER Performance Analysis of OFDMA and SCFDMA -- VLSI Implementation of an 8051 Microcontroller using VHDL and Re- corrective Measure using AI -- A survey of Internet of Things frameworks for crowd management system.
    Abstract: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
    DOI: 10.1007/978-3-031-43009-1
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    Explainable Uncertain Rule-Based Fuzzy Systems (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031353789
    Language: English
    Pages: 1 Online-Ressource(XXIII, 580 p. 257 illus., 231 illus. in color.)
    Edition: 3rd ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence. ; Neural networks (Computer science).
    Abstract: Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion.
    Abstract: The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications, from time-series forecasting to knowledge mining to classification to control and to explainable AI (XAI). This latest edition again begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty, leading to type-2 fuzzy sets and systems. New material is included about how to obtain fuzzy set word models that are needed for XAI, similarity of fuzzy sets, a quantitative methodology that lets one explain in a simple way why the different kinds of fuzzy systems have the potential for performance improvements over each other, and new parameterizations of membership functions that have the potential for achieving even greater performance for all kinds of fuzzy systems. For hands-on experience, the book provides information on accessing MATLAB, Java, and Python software to complement the content. The book features a full suite of classroom material.
    DOI: 10.1007/978-3-031-35378-9
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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
    Language: English
    Pages: 1 Online-Ressource(XXI, 616 p. 261 illus., 219 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 838
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    Advances in Computational Intelligence Systems : Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031475085
    Language: English
    Pages: 1 Online-Ressource(X, 670 p. 268 illus., 225 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advances in Intelligent Systems and Computing 1453
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Towards Reinforcement Learning for Non-Stationary Environments -- Detection of Cyberbullying on Social Media Platforms using Machine Learning -- The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning -- Privacy and Security Landscape of Metaverse -- Strategies to Apply Genetic Programming Directly to the Traveling Salesman Problem -- A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness -- An Intrusion Detection System using the XGBoost Algorithm for SDVN -- Hybridizing L´evy Flights and Cartesian Genetic Programming for Learning Swarm-based Optimization -- An Evaluation of Handwriting Digit Recognition using Multilayer SAM Spiking Neural Network -- Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-Series Forecasting.
    Abstract: This book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, Birmingham, the UK, during 6 to 8 September 2023. UKCI is the flagship AI conference of the UK and Europe held annually. In UKCI 2023, a total of 63 papers were received from 11 countries including the UK, India, Germany, China, Japan, Australia, Italy, Thailand, Turkey, Jordan and Saudi Arabia; of these, 50 were accepted for presentation. The review process was rigorous, wherein three reviews were provided for all papers, with some having four reviews. This book highlights the latest research developments in computational intelligence and its applications. It covers both conventional and advanced techniques in fuzzy systems, neural networks, evolutionary computation, machine learning, deep learning, federated learning, data mining, cognitive computing, intelligent robotics, optimization methods, hybrid methods, and applications of computational intelligence. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.
    DOI: 10.1007/978-3-031-47508-5
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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
    Language: English
    Pages: 1 Online-Ressource(XV, 458 p. 92 illus., 89 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Artificial Intelligence and the Rule of Law
    Parallel Title: Erscheint auch als
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    Keywords: Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence. ; Information technology ; Mass media
    Abstract: 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.
    Abstract: 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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    Applications of Ant Colony Optimization and its Variants : Case Studies and New Developments (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819972272
    Language: English
    Pages: 1 Online-Ressource(IX, 229 p. 87 illus., 68 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Springer Tracts in Nature-Inspired Computing
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Mathematical optimization. ; Artificial intelligence.
    Abstract: Ant Colony Optimization -- Advancements in Rank-based Ant System -- Exploring Ant Colony Optimization for Feature Selection: A Comprehensive Review -- Diagnosis Support for Diabetes with Ant Colony Optimization -- Opposed Pheromones Ant Colony Optimization for Property Identification of Nonlinear Structures.
    Abstract: This book explains the basic ideas behind several variants of ant colony optimization (ACO) and shows how they may be used in real-world settings like manufacturing, engineering design, and health care. Marco Dorigo proposed ACO for the first time, and it has been used to solve a variety of optimization problems. This book presents the latest developments of ACO.
    DOI: 10.1007/978-981-99-7227-2
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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819975693
    Language: English
    Pages: 1 Online-Ressource(XIX, 494 p. 195 illus., 150 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 803
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: 1. Design and Development of a Low Cost Multi-functional Wheel Chair with Patient Monitoring and Obstacle Detection -- 2. OpenAI ChatGPT and the Accelerated Spread of Biased Information -- 3. Towards new challenges of modern Pentest -- 4. Relationship of IT Governance Domain with A Case Study of the Application of “One Price Fuel in Indonesia” by National Oil Company -- 5. Design and Implementation of IoT System with Intelligent Solar Charger Controller -- 6. Challenges in Building Smart and Sustainable Hybrid Microsystems with Renewable Sources for Powering Individual Residences -- 7. Effective Resource Provisioning Scheme for Kubernetes Infrastructure -- 8. Confirming Secure Interoperability in Mobile Financial Services: Challenges of Data Federation and Cryptography based Solution -- 9. Implementation of Applied Artificial Intelligence for Urban Transportation Management -- 10. The Value of Proactive Data for Intelligent Contracts.
    Abstract: 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: 10.1007/978-981-99-7569-3
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    Artificial Intelligence and Autoimmune Diseases : Applications in the Diagnosis, Prognosis, and Therapeutics (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990290
    Language: English
    Pages: 1 Online-Ressource(XIX, 323 p. 67 illus., 62 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1133
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical informatics. ; Quantitative research.
    Abstract: Autoimmune Disorders: Types, Symptoms and Risk Factors -- Immune System and Autoimmunity: Cellular and Molecular Mechanisms -- Autoimmune Diseases: Recent Insights on Epidemiology, Pathogenesis and Prevalence Rate -- The Role of Artificial Intelligence and Machine learning in Autoimmune Disorders -- Autoimmune Autonomic Disorder: AI-based Diagnosis and Prognosis -- Detection of Rheumatoid Arthritis using CNN in Autoimmune Diseases Disorders -- The Emerging Applications of Machine Learning in the Diagnosis of Multiple Sclerosis -- Exploring State-of-the-art CNN Models for Early Detection of Multiple Sclerosis using MRI Images -- AI-assisted Model for Risk Detection of Autoimmune Diseases -- Artificial Intelligence in the Diagnosis and Treatment of Rheumatoid Arthritis: Current Status and Future Perspectives -- Data Analytics for Diagnosis, Tracking, and Treatment Planning in Autoimmune Diseases using AI -- Role of Artificial Intelligence in the Treatment Management of Psoriatic Arthritis -- Artificial Intelligence, Machine Learning and Deep Learning in the Diagnosis and Treatment of Rheumatoid Arthritis: Case Studies -- Artificial Intelligence and Machine Learning Techniques in the Diagnosis of Type I Diabetes: Case Studies -- Computational Intelligence Methods for Biomarkers Discovery in Autoimmune Diseases: Case Studies -- AI-empowered Prediction of Prognosis and Treatment Response in Rheumatoid arthritis.
    Abstract: The book provides an overview of various autoimmune disorders and how artificial intelligence (AI) and machine learning will be used for the diagnosis, prognosis, and treatment of these disorders. AI algorithms are used to create synthetic patient populations with the properties of actual patient cohorts, build personalized predictive models of drug combinations and unravel complex relationships between diet, microbiome, and genetic line-up to determine the comparative treatment response. The book highlights clinical applications and challenges of AI for the diagnosis and treatment/management of autoimmune disorders which includes Rheumatoid Arthritis (RA), Multiple Sclerosis (MS), Type I Diabetes, Psoriatic Arthritis (PsA), and other critical diseases.
    DOI: 10.1007/978-981-99-9029-0
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    Data Science and Applications : Proceedings of ICDSA 2023, Volume 4 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978144
    Language: English
    Pages: 1 Online-Ressource(XX, 545 p. 244 illus., 201 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 821
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Crop Classification Using Deep Learning on Time Series SAR Images: A Survey -- Improvement of the Teaching-Learning Process using Feature-Driven Opinion Mining of Stakeholders Comments -- Safeguarding Privacy and Security in the Internet of Vehicles: Current and Emerging Strategies -- Two Factor Authentication for Internet of Drones using PUF and Blockchain -- REXOBOT- Simplifying Rescue Operations using Arduino -- Design and analysis of a dual-band wearable antenna integrated with an AMC reflector for biomedical applications -- An optimized approach for Sarcasm Detection using Machine learning Classifier -- Medical Image segmentation Using Deep Learning Method -- Implementation of Solar Array Integration with PID & MPPT(P&O) Incorporating Input Variations -- Cemetery Allocation Management System Using Ethereum Blockchain -- An Efficient Predictive Resource Analysis using Deep Dyna Q-based VARMA LSTM Model for Fluctuating Cloud Workloads -- SIW based H-plane dual horn radiator for next generation wireless communication -- RNN based model predictive control of multi agent system using switching topologies -- LDCCAES: A Concomitant Perception Methodology Facilitating Real-Time Detection and Estimation of Medifan-Lane Positioning for Prototype Autonomous Vehicle -- Enhancing Federated Learning Performance for IoT Anomaly Detection under Label-Skewed Data -- Panel Data Analysis to Investigate Factors Influencing Profitability: Empirical Study on Indian Oil and Gas Companies -- Predictive Modeling for Marketing Strategies: A Case Study of a Superstore’s Gold Membership Offer using Advanced Analytics and Machine Learning Techniques -- Design and Development of energy harvesting system for wireless local area Network -- Hybrid Principal Component Analysis Using Boosting Classification Techniques: Categorical Boosting -- Moth swarm algorithm with centre-based sampling technique for the optimal operation of a hybrid power system incorporating static synchronous compensator -- Land use and land Change detection of the eco system by processing Sentinel images -- An Enhanced Laryngeal Tissue Classification Model Using Deep Learning Techniques -- Machine Learning-based Detection of API Security Attacks -- A Comparative Study on End-to-End Learning for Self-Driving Cars -- Climatological Rainfall Forecasting using LSTM: An Analysis of Sequential Input and Data Window Input Approaches -- Enhancing Anonymity of Internet of Vehicle Identities in Connected Vehicle Security Services Using Batch Verification Algorithm -- A Deep Learning based Framework for Android Malware Family Classification -- iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart -- ANDROID-BASED MALARIA DETECTION USING DEEP LEARNING -- Recuperating Image Captioning with Genetic Algorithm and Red Deer Optimization: A Comparative Study -- A Radial Basis Function Neural Network trained with Aquila Optimizer for Solving Inverse Modeling Problems -- Future Generation Elastic Optical Networks: A State-of-Art Review -- Empirical analysis on fake news detection using feature extraction & feature optimization techniques -- Enhancing the Performance of Heart Disease Prediction Models with Ensemble Learning -- Towards a Person-Job-Fit Recruitment: Job Prediction with Deep Neural Networks based on Various Pre-trained Models -- Hyperparameter Optimization of Machine Learning Models using grid search for Amazon Review Sentiment Analysis -- Towards the testbed and dataset for analysis of water treatment systems security -- Accurate Prediction of Stage of Hepatitis C Virus through a Stacking Ensemble -- Alzheimer Brain Imaging Dataset Augmentation using Wasserstein Generative Adversarial Network -- FireNet-Tiny: Very-Low Parameter Count High Performance Fire Detection Model -- 2D Medical Image Segmentation.
    Abstract: 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: 10.1007/978-981-99-7814-4
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    Communication and Applied Technologies : Proceedings of ICOMTA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819972104
    Language: English
    Pages: 1 Online-Ressource(XIV, 573 p. 121 illus., 101 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 375
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Medical informatics.
    Abstract: Design of an energy management system for microgrids applied to an isolated system incorporating solar thermal energies -- A Digital REBA System Based on Kinect and its Benefits for Ergonomic Assessment -- Social Network Addiction: A Structural Equation Modelling -- The use of neural networks for the prediction of type II diabetes: a comparison of recent advances and perspectives -- Sequential prompts and AI to illustrate a Mexican legend using syntography -- Teaching skills mediated by perceived utility and ease of use in student motivation and collaboration -- Electronic Immunization Record for rural communities in México -- Automation of Brand Management: Possibilities, Challenges and Limitations -- Truth and newsworthiness in the era of Artificial Intelligence -- Emerging technological ecosystem for public administration: business intelligence, artificial intelligence and data mining -- Technology and Video Surveillance in educational spaces: A path towards citizen security -- Unraveling the Truth: Investigating the Spread of Fake News on Facebook during the COVID-19 Crisis -- Young people and social representations on artificial intelligence in Peru and Colombia -- An analysis of digital communication in Spanish agricultural cooperatives -- Use of social networks as a factor for the development of digital citizenship in Puebla -- “Do It Yourself” Narrative as a New Type of Tourism Influencers 2.0 on YouTube -- Big Data Analysis of Google Searches for Prediction of Election Results: A Longitudinal Study -- Communication 2.0 in Iberoamerican cultural websites -- Cross-cultural validation of a questionnaire on digital teaching competence in Mexico -- Digital transformation in Spain during the pandemic: Access, interaction and change in habits -- Scholarships assignments: an important challenge of resources allocation. Case study: Completion Prediction System for Mexican Institution -- Social Network Sites: Challenge for a learning management model. Case study in Ecuador -- Cybersecurity and journalism: Digital violence is another form of violence for female journalists in Ecuador -- Management of employer branding and communication 2.0 -- Digital citizenship through online media. Manifestations and perceptions in Ecuador.
    Abstract: This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2023), jointly organized by the Colombian Association of Journalism and Science Communication (Colombia), and the Benemerita Universidad Autonoma de Puebla (Mexico); and as collaborators at the Universidad de Málaga (Spain), Universidade de Vigo (Spain), Universidade de Santiago de Compostela-Equipo de Investigaciones Políticas (Spain), Red Internacional de Gestión de la Comunicación (XESCOM),the International Media Management Academic Association (IMMAA), Red de Investigadores en Comunicación de Ecuador (RICE), and Observatorio Interuniversitario de Medios Ecuatorianos (OIME), during 6 – 8 September 2023. It covers recent advances in the field of digital communication and processes, digital social media, software, big data, data mining and intelligent systems.
    DOI: 10.1007/978-981-99-7210-4
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    Emerging Research in Intelligent Systems : Proceedings of the CIT 2023 Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522550
    Language: English
    Pages: 1 Online-Ressource(XIII, 354 p. 150 illus., 133 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 902
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: Proposal design of an autonomous photovoltaic plant on potentially liquefiable soil in the isolated rural community of Agua Fría, Ecuador -- Seismic design considerations for the installation of photovoltaic systems on flat reinforced concrete roofs: A case study in Ecuador -- A brief guide to the implementation of lean tools in the Ecuadorian context -- Analytical study of the behavior of tubular elements reinforced with natural fibers under dynamic loads -- Landstorfer antenna structure shaping based on parameterized parallel curves -- Solving the generation and transmission capacity expansion planning framework modeling the AC power flow problem and incorporating reactive compensation devices -- Reconstruction of the boundary condition of the convection–diffusion–reaction equation with automatic selection of the step length -- Assessing carbon capture, transport, and storage processes: A critical review -- Antenna densification in non-uniform linear and planar arrays -- Greinacher rectifier evaluation for WiFi band energy harvesting -- Experimental measurement of potential energy in stairways with hydraulic damping systems -- Vulnerability characteristics of wetlands in the Guaranda wasteland, central Ecuador – Implications of long-term sustainability -- Climate variability and its effect on flood risk through dynamic modeling in the Quigushuaycu stream -- Network Neutrality policies in the 5G South American market -- Evaluation of the internal temperature and hours of thermal discomfort produced by sunshine: Study of a hot dry climate -- Review of biomass and biopolymers synthesized in Ecuador -- Solar energy conversion systems thermal management applying constructal theory: a comparative analysis -- Quantification of the decrease of droplets expelled from the human respiratory tract during expiratory activities when using masks -- Impacts of park-and-ride systems on vehicle emissions in intermediate cities -- Machine learning regressors in forecasting mechanical properties in advanced manufacturing processes -- Comparative evaluation of performance efficiency in terms of temporal behavior and resource utilization, according to the ISO/IEC 25010 model, in a web application developed with Angular, React.js, and Vue.js -- Prediction models of oral diseases: A systematic review of the literature -- How can personal knowledge graphs contribute to precision nutrition? -- Interactive e-Books in mathematics learning: A systematic mapping study.
    Abstract: 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: 10.1007/978-3-031-52255-0
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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
    Language: English
    Pages: 1 Online-Ressource(XXVII, 630 p. 194 illus., 157 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 839
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Quantitative research.
    Abstract: 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.
    Abstract: 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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    AI, consciousness and the new humanism : fundamental reflections on minds and machines (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819705030
    Language: English
    Pages: 1 Online-Ressource(VII, 349 p. 28 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Philosophy of mind. ; Artificial intelligence. ; Technology
    Abstract: Chapter 1: Introduction -- Chapter 2: What AI can learn from the Brain – The Temporal Augmenting Agent (TAA) -- Chapter 3: Can Machines Learn Music? An open dialogue between Neuromusicology and Computational modelling methods -- Chapter 4: Can Machines ‘Think’? Machine intelligence and the phenomenal nature of thoughts -- Chapter 5: Can Machines Think Causally? -- Chapter 6: Neuromodulation and AI -- Chapter 7: Self-awareness and its implications for cooperative - competitive machine-mind interactions -- Chapter 8: Bicentennial Saga of Consciousness: Exploring the Lives and Minds of Humans and Machines with a Discussion on contemporary Sci-Fi Movies that Straddles the Identity, Love and Intelligence Discourses -- Chapter 9: AI as an Intercultural Trigger of New Consciousness -- Chapter 10: Can Artificial Intelligence (AI) accelerate social advancement? A review of possibilities and challenges -- Chapter 11: Mind-reading machines: Promises, Pitfalls and Solutions of Implementing Machine Learning in Mental Health -- Chapter 12: AI Technology and Autonomous Weapon System: Debating “Meaningful Human Control” -- Chapter 13: Language and Meaning in Humans and AI Systems -- Chapter 15: Artificial Intelligence (AI), Machine Learning (ML), and the Humanities -- Chapter 16: Expanding Cognition: The Plasticity of Thought -- Chapter 17: Simulation and Obfuscation: Artificial Intelligence, Intelligent and Not? -- Chapter 18: Can Artificially Intelligent Machines have a Goal?: An Understanding based on Bhoja's Aesthetic Theory of Character Personality and Life-goals -- Chapter 19: Incomplete performitivity in the age of Neganthropocene or how to exit the Anthropocene -- Chapter 20: Singularity Beyond Silicon Valley: The Transmission of AI Values in a Global Context -- Chapter 21: Advaita Ethics and the Machine Age: The Pursuit of Happiness in an Interconnected world -- Chapter 22: The World as Affordances: Phenomenology and Embodiment in AI -- Chapter 22: Human Learning andMachine Learning: Unfolding from Creativity Perspective -- Chapter 23: On Convergence of Intelligence: Decision-making Models in AI and Reflections on Human Intelligence -- Chapter 24: Situating AI in the matrix of human agency and normativity: Implications of post-phenomenological mediation and technological intentionality -- Chapter 25: Investigating the ontology of AI vis-a-vis Technical Artefacts.
    Abstract: This edited volume presents perspectives from computer science, information theory, neuroscience and brain imaging, aesthetics, social sciences, psychiatry, and philosophy to answer frontier questions related to artificial intelligence and human experience. Can a machine think, believe, aspire and be purposeful as a human? What is the place in the machine world for hope, meaning and transformative enlightenment that inspires human existence? How, or are, the minds of machines different from that of humans and other species? These questions are responded to along with questions in the intersection of health, intelligence and the brain. It highlights the place of consciousness by attempting to respond to questions with the help of fundamental reflections on human existence, its life-purposes and machine intelligence. The volume is a must-read for interdisciplinary and multidisciplinary researchers in humanities and social sciences and philosophy of science who wish to understand the future of AI and society. .
    DOI: 10.1007/978-981-97-0503-0
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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
    Language: English
    Pages: 1 Online-Ressource(XVII, 410 p. 194 illus., 153 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    Ethics and Artificial Intelligence : Towards a Moral Technology (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031509025
    Language: English
    Pages: 1 Online-Ressource(VIII, 83 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 519
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Control engineering.
    Abstract: It is a book made up of questions, some without certain answers, that attempts to open the reader's mind to new and, perhaps, futuristic scenarios. There are two diametrically opposed approaches to artificial intelligence today. On the one hand, there are the techno-pessimists who see only dystopian scenarios and experience technological progress with apprehension, emphasising the dangers, and on the other hand, there are the techno-optimists who, on the other hand, tend to overestimate the positive effects, going so far as to attribute almost thaumaturgic virtues to technological progress. Our approach is meant to be secular and scientific; the risks must not be concealed, nor must they be overestimated, just as the positive aspects must not be emphasised. And, in any case, as in any social phenomenon, the governance of processes and the definition of a system of rules and policies are the aspects that can create advantages or disadvantages and, above all, can determine who are the beneficiaries of the advantages and who have to bear the disadvantages. Like any new technology, this too can be dehumanising, but technology is a tool that depends on how it is used and by whom it is used. that of ethics is, therefore, a fundamental aspect. Therefore, one should neither be a techno-optimist nor a techno-pessimist, but should be aware that governing the economic and social structural changes that the advent of artificial intelligence will cause will be crucial to ensure prosperity for future generations and to avoid negative and even apocalyptic scenarios. So no futurist dystopias! Humanity has so far always been able to govern technological progress, it certainly has the potential to govern what some have called 'the Final Invention', but it will only succeed if it is able to understand the peculiarities of this new process of technological development and give it ethical content.The book provides a thoughtful review of the relationship between artificial intelligence and ethics, approaching the issue from different perspectives: philosophical, technological, economic and legal. This will be one of the most important issues that Humanity will have to face and resolve.
    DOI: 10.1007/978-3-031-50902-5
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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
    Language: English
    Pages: 1 Online-Ressource(X, 315 p. 86 illus., 60 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1158
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Algorithms.
    Abstract: 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.
    Abstract: 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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    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
    Language: English
    Pages: 1 Online-Ressource(XVI, 454 p. 193 illus., 165 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 382
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Virtual reality. ; Augmented reality. ; Artificial intelligence
    Abstract: 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.
    Abstract: 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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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579318
    Language: English
    Pages: 1 Online-Ressource(XXIX, 513 p. 198 illus., 160 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 203
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Application of Soft Computing Techniques for Clustering in VANETs: A Survey -- EarlyStage Diabetes Risk Detection Using Comparison Of Xgboost, Lightgbm, And Catboost Algorithms -- Blockchain Based Artificial Intelligence of Things (AIoT) for Wildlife Monitoring -- Research on Screw Detection Using Artificial Intelligence Technology -- An Efficient Method for Lung Cancer Image Segmentation and Nodule Type Classification Using Deep Learning Algorithms -- Targeted and Automatic Deep Neural Networks Optimization for Edge Computing -- Edge to Cloud Network Function Offloading in the ADAPTO Framework -- DEFEDGE: Threat-driven Security Testing and Proactive Defense Identification for Edge-Cloud Systems -- Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum -- REDRAW: FedeRatED leaRning for humAn Wellbeing -- Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees -- Optimization of University Services through Cloud-Edge Integration: Study of a use case at the University of Naples Federico II -- Distributed Collaborative AR on Cloud Continuum: a Case Study for Cultural Heritage -- Survey on Reference Architecture for Cloud Continuum and Multi-Access Edge Computing (MEC) in 5G Networks -- Elastic Autoscaling for Distributed Workflows in MEC Networks.
    Abstract: This book covers the theory, design and applications of computer networks, distributed computing and information systems. 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 is 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 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 aims to provide the 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: 10.1007/978-3-031-57931-8
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 6 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579424
    Language: English
    Pages: 1 Online-Ressource(XXIX, 501 p. 186 illus., 151 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 204
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Homomorphic Cryptography Authentication Scheme to Eliminate Machine Tools Gaps in Industry 4.0 -- Fixed-parameter Tractability for Branchwidth of the Maximum-weight Edge-colored Subgraph Problem -- On Coverage in Multi-interface Networks with Bounded Pathwidth -- Sensitivity Analysis of Performability Model to Evaluate Pbft Systems -- Algorithmic Aspects of Distributing Energy Consumption in Multi-interface Networks -- Blockchain and Financial Services a Study of the Applications of Distributed Ledger Technology (Dlt) in Financial Services -- A Personalized Parking Guidance Service Based on Computer Vision Technology for Large Car Parks -- Mathematical Modelling of Covid-19 Using Odes -- Analyzing Monitoring and Controlling Techniques for Water Optimization Used in Precision Irrigation.
    Abstract: 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: 10.1007/978-3-031-57942-4
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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
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 489 p. 177 illus., 124 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 200
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    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
    Language: English
    Pages: 1 Online-Ressource(X, 210 p. 73 illus., 61 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1146
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031542770
    Language: English
    Pages: 1 Online-Ressource(XII, 246 p. 68 illus., 59 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 148
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: Contactless Video-based Vital-sign Measurement Methods: A Data-driven Review -- Enhancing STEAM in Education 4.0: A Review of Data-driven Technological Improvements -- State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications -- Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future.
    Abstract: This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.
    DOI: 10.1007/978-3-031-54277-0
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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
    Language: English
    Pages: 1 Online-Ressource(IX, 517 p. 282 illus., 232 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1174
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    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
    Language: English
    Pages: 1 Online-Ressource(XXIII, 631 p. 340 illus., 252 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Signals and Communication Technology
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Wireless communication systems. ; Mobile communication systems.
    Abstract: 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.
    Abstract: 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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    Networking and Parallel/Distributed Computing Systems : Volume 18 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031532740
    Language: English
    Pages: 1 Online-Ressource(X, 226 p. 113 illus., 91 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1125
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: A Deep Learning-Based Study for Cyclone Track Forecasting: Comparative Analysis Using Historical Data from the Bay of Bengal -- Employee Management Support Application for Operation Managers and Its Security -- Text-based Data Analysis for Mental Health Using Explainable AI and Deep Learning -- Using the Internet of Things and Machine Learning to Monitor and Detect COVID-19 -- Comparison between the Route Using Improved Detours and Shortest Route on Distributed Key Value Store Based on Order Preserving Linear Hashing and Skip Graph -- Extraction Study of Leaf Area and Plant Height of Radish Seedlings Based on SAM -- A Scalable Middleware for IoT Vulnerability Detection -- Predicting Oil Spills in Real-Time: A Machine Learning and AIS Data-Driven Approach -- Data-driven OCL Invariant Patterns-based Process Model Exploration for Process Mining -- An Analysis of Program Comprehension Process by Eye Movement Mapping to Syntax Trees -- Self-supervised Monocular Depth Estimation and Ego-motion Made Better: A Masking Constraints -- Using Additional Sets of Random Data to Assess Possible Dissaving Risk against Life Expectancy for Elderly People -- A Study on the NFT and Blockchain Technology for Copyright Management -- The Effect of Enterprise Risk Management System on Risk Management Capability and Management Performance -- A Study on the Effect of Omnichannel Customers Acceptance Attitudes and Loyalty: Focusing on UTAUT2.
    Abstract: The book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing in both printed and electronic form. This book presents original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-53274-0
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    Recent Advancements in Artificial Intelligence : Proceedings of ICRAAI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819711116
    Language: English
    Pages: 1 Online-Ressource(XX, 406 p. 178 illus., 150 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Innovations in Sustainable Technologies and Computing
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Cloud Computing. ; Internet of things. ; Computer networks
    Abstract: This book features research papers presented at the Second International Conference on Recent Advancements in Artificial Intelligence (ICRAAI 2023), held at Poornima University, Jaipur, India during 15 – 16 December 2023. The book presents original research work in the areas of computational intelligence, artificial intelligence, machine learning, data science and data analytics, cloud computing, and internet of things. The book is beneficial for readers from both academia and industry.
    DOI: 10.1007/978-981-97-1111-6
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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
    Language: English
    Pages: 1 Online-Ressource(XIV, 368 p. 82 illus., 70 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 903
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: 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.
    Abstract: 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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    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
    Language: English
    Pages: 1 Online-Ressource(VII, 250 p. 90 illus., 74 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 999
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: 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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    Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 5 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819713134
    Language: English
    Pages: 1 Online-Ressource(XX, 489 p. 191 illus., 148 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 949
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: 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.
    Abstract: 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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    Blue Book on AI and Rule of Law in the World (2022) (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710607
    Language: English
    Pages: 1 Online-Ressource(XIV, 482 p. 156 illus., 153 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Artificial Intelligence and the Rule of Law
    Parallel Title: Erscheint auch als
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    Keywords: Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence. ; Information technology ; Mass media
    Abstract: Overview of the Development of Artificial Intelligence Rule of Law -- Overview of the Development of Artificial Intelligence Rule of Law -- Overview of the Development of Artificial Intelligence Rule of Law -- Essence of Viewpoints of the “2021 World Artificial Intelligence Conference Rule of Law Forum” -- Artificial Intelligence Law and Policy- Theoretical Research on Artificial Intelligence -- Application of Artificial Intelligence Rule of Law -- Analysis of Artificial Intelligence Judicial Cases -- Special Reports on the Development of Artificial Intelligence Rule of Law -- Interviews with Experts on the Development of AI Rule of Law -- Blue Book on AI and the Rule of Law in the World (2022) Research Questionnaire and Analysis.
    Abstract: 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, 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 and ensuring the safe, reliable, controllable, healthy, and sustainable development of AI. It is hoped that this book provides a useful reference for researchers of AI and law.
    DOI: 10.1007/978-981-97-1060-7
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  • 97
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    Business Analytical Capabilities and Artificial Intelligence-Enabled Analytics: Applications and Challenges in the Digital Era, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031560156
    Language: English
    Pages: 1 Online-Ressource(XIII, 441 p. 39 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1151
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: The Impact of Strategic Agility on Competitive Capabilities: A Field Study of Tourism Companies in Amman, Jordan -- Impact of Viral Marketing on Customer Purchasing Intention of Fashion Industry in Jordan -- The Impact of Hospitals' Commitment to Social Responsibility on Perceived Medical Service Quality: An Empirical Study on a Sample of Private Hospital Patients in Amman, Jordan -- Impact of Sustainability Disclosure on Investment Decision-Making: Evidence from Emerging Economies -- The Conflict between Compulsory Execution and Termination of Publishing Contract According to the Au-thor's Moral Right -- Industry 4.0 Era: The Role of Robotic Process Automation in Internal Auditing Quality of Banking Sector in Jordan -- Transparency and Disclosure Issues in the Corporate Governance System in Developing Countries, Jordan Case Study: Previous Studies -- Mobile Payment and Digital Financial Inclusion: A Study in Jordanian Banking Sector Using Unified Theory of Acceptance and Use of Technology.-Exploring Jacques Lacan's Concept of the Unconscious and the Real -- Flexible Work System in the Jordanian Legislation: A Comparative Study -- The impact of the application of cyber accounting on achieving strategic objectives in banks listed on the Amman Stock Exchange -- The Pragmatic Function of Press Discourse Markers in French language -- Theoretical Perspective of Artificial Intelligence in Digital Marketing for Business Organizations -- Characteristics of Electronic Word of Mouth and its Impact on Patient’s Decision to Select Treatment Desti-nation. A Case of Jordan -- The Impact of International Environmental Conferences and Agreements on Environmental Protection in Jordanian Law -- The Role of the Media in Educating Governments and Societies about the Impact of Disasters -- Understanding the Effectiveness of Digital Media Marketing on Sports Brand Loyalty: A Review -- The Impact of Social Responsibility Dimensions on Achieving the Competitive Advantage of the Pharmaceutical Sector. A Case of Jordan -- Quality of Electronic Services and its Role in Developing the Performance of Employees: A Case Study of the National Aid Fund -- Attitudes of Students Towards Press Coverage of E-Learning: An Empirical Study -- Disarmament, Demobilization and Reintegration (DDR) Program -- The Impact of Applying the Internal Control System According to the (COSO) Framework on the Profitability Indicators of Industrial Companies Listed on the Amman Stock Exchange -- The Impact of Electronic Sales Promotion Tools on Consumers’ Purchasing Behavior Decision towards Consumable Goods. A Case of Jordan -- Special Mens Rea in the Crime of Theft in the Jordanian Criminal Legislation -- The Impact of Artificial Intelligence on Talent Acquisition Strategies in Jordanian Technology Startups -- The Effects of Training and Development on Achieving Institutional Excellence of Pharmaceutical Company in Jordan -- The impact of big data analytics capabilities on decision making at the telecommunications sector in Jordan -- The History and Concept of Modernism -- The Impact of Influencer Marketing on Brand Perception: A Study of Jordanian Customers Influenced on Social Media Platforms -- The Impact of the Balfour Declaration and the British Mandate on the Loss of Palestine (1917-1948) -- The Impact of Implementing Disruptive Technology on Organizational Change: A Field Study in Private Universities in Jordan -- The Social Responsibility and its Impact on the Patients Satisfaction Empirical Study on the Beneficiaries of Services of Zarqa Governmental Hospital in Jordan -- The Impact of Relationship Marketing on the Customer Loyalty -- Analysis of the impact of OCFM on PI in ICLASE.
    Abstract: This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities. This book covers a range of topics including the application of cyber accounting and strategic objectives, financial inclusion, big data analytics in telecommunication sector, digital marketing strategies and sports brand loyalty, robotic processes automation in banks, and the applications of AI for decision-making in human resources, healthcare, banking, and many more. The book provides a comprehensive reference for scholars, students, managers, entrepreneurs, and policymakers by examining frameworks and business practice implications through its discussions which embrace a wide variety of unique topics on business analytics, AI, and how it can be applied together to address the challenges of the digital era.
    DOI: 10.1007/978-3-031-56015-6
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  • 98
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    Transactions on Intelligent Welding Manufacturing : Volume V No. 2 2021 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819961368
    Language: English
    Pages: 1 Online-Ressource(VII, 127 p. 94 illus., 81 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Transactions on Intelligent Welding Manufacturing
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Industrial engineering. ; Production engineering.
    Abstract: Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process.
    Abstract: The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2022 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2022) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
    DOI: 10.1007/978-981-99-6136-8
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  • 99
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    Intelligent Systems for Smart Cities : Select Proceedings of the 2nd International Conference, ICISA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819969845
    Language: English
    Pages: 1 Online-Ressource(XII, 535 p. 205 illus., 155 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Sustainable architecture.
    Abstract: Manifesta: An Event Management Platform Using Recommendation System -- An Empirical Study on the Information Security Threats due to Remote Working Environments -- Intelligent Surveillance Tower for Detection of the Drone from the other aerial objects using Deep learning -- A Hybrid Ensemble Machine Learning Approach (EHML) for DDOS attack Detection in Smart City Network Traffic -- Identifying Instances of Cyberbullying on Twitter Using Deep Learning -- Machine Learning Techniques for Real-Time Human Face Recognition -- Image Steganography Using Particle Swarm Optimization -- Intelligent Inventory Management in Retail Stores using Four State of the Art Object Detection models -- Supply Chain Risk Management through Zero-Trust Architecture -- Solution of Goal Programming Product Mix Problem with Cohort Intelligence Algorithm -- QuickTag: A Machine Learning Based Automated Toll Collection System Using Optical Character Recognition -- IoT Based Pothole Detection and Analysis for Road Quality Assessment and Human Safety Using Machine Learning Approach -- Localised Land-Use Classification using U-Net & Satellite Imaging -- An Intelligent Fire Extinguisher Monitoring System for Smart Cities -- Performance Analysis of Node Classification to Secure Intelligent Transportation System in VANET -- Safety and Disasters Evaluation in the Civil Aviation of Iran -- Impact of Deepfakes and Gradient Centralization on COVID-19 Diagnosis: A Compact Swin Transformer based Approach -- A Deep Learning Pipeline for Cervical Cancer Detection -- Heuristic Neural Network for Thermography Breast Cancer Detection -- Recognizing Raga of Indian Classical Songs using Regular Expressions -- Offline Handwritten Multilingual Numeral Recognition using CNN -- An Analytical Study for Implementing 360-degree m-HRM Practices Using Amazon Mechanical Turk and Machine Learning in IT Sector -- Buffer Allocation in Unreliable Production Lines using Infinitesimal Perturbation Analysis and Genetic Algorithm -- A predictive system for efficient Portfolio Management: An application of ANN and Technical Indicators -- IoT-based Smart System for Real-time Drowsy Driver Detection and Response.
    Abstract: This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.
    DOI: 10.1007/978-981-99-6984-5
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  • 100
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    Artificial Intelligence: Theory and Applications : Proceedings of AITA 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984794
    Language: English
    Pages: 1 Online-Ressource(XVIII, 532 p. 199 illus., 169 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 844
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data.
    Abstract: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
    DOI: 10.1007/978-981-99-8479-4
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