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  • BSZ  (402)
  • 2020-2024  (402)
  • 1990-1994
  • Singapore : Imprint: Springer  (402)
  • Artificial intelligence.  (402)
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Material
Language
Years
  • 2020-2024  (402)
  • 1990-1994
Year
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Keywords
  • 1
    Online Resource
    Online Resource
    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
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    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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    BSZ
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    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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    BSZ
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    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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    BSZ
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    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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    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
    Emerging Technologies in Electrical Engineering for Reliable Green Intelligence : Proceedings of ICSTACE 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819992355
    Language: English
    Pages: 1 Online-Ressource(XII, 556 p. 296 illus., 236 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1117
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Closed-loop Control of Modified Switched Inductor Boost Converter with High Voltage Gain and Reduced Switch Voltage Stress -- Optimal sizing of PV/Wind/Battery grid-connected hybrid renewable energy systems using TLBO algorithm -- Performance Enhancement of AC Microgrid using Robust Control Strategies in Modern Power Systems -- Solar Photovoltaic Installation in Eight Educational Institutions in District Faridabad: A Case Study -- Regulated and Deregulated Control of a Pseudo Pancreas Using an Inflated Ant Colony Optimization technique -- Trust Value Method for False Data Injection Detection in Smart Grid.
    Abstract: The book includes peer-reviewed papers from the International Conference on Sustainable Technology and Advanced Computing in Electrical Engineering (ICSTACE 2023). The main focus of the book is to provide the global perspective of sustainable research related to computer advancement in electrical engineering. This involves the areas related to sustainable development. This volume covers artificial intelligence, machine learning, the Internet of Things (IoT), cloud computing, big data analysis, blockchain, cyber security of the smart grid, etc. The book focuses on the areas related to sustainable development and includes research works from academicians and industry experts. The book discusses new challenges and provides solutions at the interface of technology, information, complex systems, and future research directions. .
    DOI: 10.1007/978-981-99-9235-5
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    BSZ
    MPI Ethno. Forsch.
  • 7
    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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    MPI Ethno. Forsch.
  • 8
    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.
  • 9
    Online Resource
    Online Resource
    Computational Intelligence in Machine Learning : Proceedings of the 2nd International Conference ICCIML 2022 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819979547
    Language: English
    Pages: 1 Online-Ressource(XII, 707 p. 385 illus., 318 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1106
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Machine learning. ; Artificial intelligence ; Artificial intelligence.
    Abstract: Machine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS) -- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique -- Placement Analysis – A New Approach to Ease the Recruitment Process -- Continuous Assessment Analyzer using Django -- Fuzzy Logic in Battery Energy Storage System (Bess) -- Fault Classification of Cooling Fans using a CNN-based Approach -- Violence Recognition using Convolutional Neural Networks -- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method -- The Future of Car Automation Field with Smart Driverless Technologies -- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach -- Automated Guided Vehicle Robot Localization with Sensor Fusion -- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up -- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration -- Defect Severity Classification of Complex Composites using CWT and CNN -- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning -- Industry Revolution 4.0 Knowledge Assessment in Malaysia.
    Abstract: This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.
    DOI: 10.1007/978-981-99-7954-7
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    MPI Ethno. Forsch.
  • 10
    Online Resource
    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
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    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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  • 11
    Online Resource
    Online Resource
    Brain-like Super Intelligence from Bio-electromagnetism (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819702329
    Language: English
    Pages: 1 Online-Ressource(XIV, 349 p. 172 illus., 92 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Rhythm Engineering
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Bioinformatics. ; Artificial intelligence.
    Abstract: Chapter 1: Exploring the Possibility of Non-local Communication in Human Beings: an Empirical Test of the Information Field Hypothesis -- Chapter 2: HI Applications for ADHD Children: The Graphic Design Perspective -- Chapter 3: Relationship between Intelligence and Universal Consciousness -- Chapter 4: A Genre of Cognitive Evolutions Through Artificial Superintelligence and Robotics Technology -- Chapter 5: Probing the electromagnetic interaction in the protein -- Chapter 6: Revisiting self-operating mathematical universe (SOMU) as a theory for Artificial General Intelligence, AGI and G+ consciousness.
    Abstract: This book discusses various aspects of bioinspired technologies but with an additional emphasis on the medical science, starting from the popular article on neurobiology to pure biophysics that ends with the superintelligence of biological systems that could be reverse engineered. It covers eight different aspects of natural intelligence, starting from the fundamental electromagnetic properties of a protein to the vibrations and the resonance of the entire biomaterial system. It also covers a wide spectrum of hierarchical communication among different biological systems for intelligence and then medical science is applied.
    DOI: 10.1007/978-981-97-0232-9
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  • 12
    Online Resource
    Online Resource
    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
    Parallel Title: Erscheint auch als
    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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  • 13
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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
    Parallel Title: Erscheint auch als
    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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  • 14
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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
    Parallel Title: Erscheint auch als
    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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  • 15
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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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  • 16
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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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  • 17
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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
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    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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  • 18
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    Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978175
    Language: English
    Pages: 1 Online-Ressource(XX, 597 p. 294 illus., 251 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 820
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: PV Array System Stimulation Affected By Variability in Temperature & Location -- A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis -- A Survey of Decentralized Digital Voting System using Blockchain Technology -- Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models -- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance -- Forest Fire Detection and Prediction using HSV and MLP -- An Insight into recent advances in the Intelligent Controller Methods -- Some Observations on Social Media Mining tools for Health Applications -- Smart Contact Lenses for Monitoring Patient’s Vision : A Generic Review -- Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8 -- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection -- Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study -- Performance Analysis of InceptionV3, VGG16, Resnet50 models for crevices recognition on surfaces -- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos -- Instant Accident Detection and Emergency Alert System -- A Novel Approach to Video Summarization using AI-GPT and Speech Recognition -- Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures -- Deep Learning Based Approach for Plant Disease Classification -- Prediction of liver disease using Machine Learning Algorithms -- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning -- CloneAI : A Deep Learning Based Approach for Cloned Voice Detection -- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network -- Malarıa Parasıte Detectıon Usıng Deep Neural Networks -- IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning -- Plant Disease Detection on Edge Devices -- Analyze the Quality of Wine based on Machine Learning Approach -- Safeguarding financial transaction with Cryptocurrency -- Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle -- Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network -- Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques -- An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops -- De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model -- Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection -- Urdu Sentiment Analysis: A Review -- Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs) -- Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network -- Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning -- Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders -- Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis -- Stock Price Prediction using Sentiment Analysis on Financial News -- A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs -- Adopting Blockchain Technology for Smart Farming and Food Security.
    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: 10.1007/978-981-99-7817-5
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  • 19
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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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  • 20
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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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  • 21
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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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  • 22
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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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  • 23
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    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
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    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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  • 24
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    Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990054
    Language: English
    Pages: 1 Online-Ressource(XIV, 595 p. 254 illus., 211 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1123
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Signal processing. ; Power electronics. ; Artificial intelligence. ; Computational intelligence.
    Abstract: 1. Finite Element Modeling of Electric Field Distribution in a Defected XLPE Cable Insulation Under Different Magnitudes of Stressing Voltage -- 2. Optimal switching sequence of urban power system based on dynamic thermal rating parameter adjustment -- 3. Improved DC-Link Voltage Control Scheme for Standalone PV Renewable Energy System -- 4. Wind energy distributions for integration with dynamic line rating in grid network reliability assessment -- 5. Control Method of Two-stage Grid-connected PV Inverter System -- 6. Methodological Comparison and Analysis for Six-Switching PMBLDC Motor Control -- 7. Energy efficiency performance optimization and surge prediction of centrifugal gas compressor.
    Abstract: This book presents selected papers from the Proceedings of the International Conference 12th International Conference on Robotics, Vision, Signal Processing, and Power Applications ROVISP 2023, held in Penang, Malaysia, covering topic areas divided into the following tracks: (1) Robotics, Control, Mechatronics, and Automation; (2) Vision, Image and Signal Processing; (3) Telecommunication Systems and Applications; (4) Electronic Design and Applications; (5) Electrical Power, Energy, and Industrial Applications. Its content highlights state-of-the-art technologies adopted by the relevant industries which appeal to researchers and industrial practitioners working in the field.
    DOI: 10.1007/978-981-99-9005-4
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  • 25
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    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
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    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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    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
    Parallel Title: Erscheint auch als
    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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  • 27
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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
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    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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    Machine Intelligence for Research and Innovations : Proceedings of MAiTRI 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819981359
    Language: English
    Pages: 1 Online-Ressource(XVII, 343 p. 161 illus., 136 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 831
    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. Energy Management System for EV with Multiple Energy Sources -- 2. Comparative Study of Hybrid/Enhanced Nature Inspired Optimization Algorithms for Solar Photovoltaic Model -- 3. A Study on Kerberos and Graphical Password based Web Authentication Scheme -- 4. Unsupervised Clustering of Asphalt Pavement Conditions using Fuzzy C-Means Algorithm with Principal Component Analysis Aided imensionality Reduction -- 5. Prediction of Heart Disease Risk in Early Ages with Boosting Techniques -- 6. Approach on Machine Learning Techniques for Anomaly-Based Web Intrusion Detection Systems: Using CICIDS2017 Dataset -- 7. Design and Development of a Charcoal-Based Sensor for Enhanced Soil Analysis in Precision Agriculture.
    Abstract: The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on Machine Intelligence for Research and Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, 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: 10.1007/978-981-99-8135-9
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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
    Parallel Title: Erscheint auch als
    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
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    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
    Parallel Title: Erscheint auch als
    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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    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
    Parallel Title: Erscheint auch als
    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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    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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    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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    Photonic Artificial Intelligence (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819712915
    Language: English
    Pages: 1 Online-Ressource(XVII, 110 p. 14 illus., 12 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Photonics. ; Optical engineering.
    Abstract: Introduction -- Impulse Brain? -- Artificial Mind -- Photonic Psychology -- Emotion Recognition -- Photonic Thought -- Soliton’s Semantics -- Subatomic Semantics -- Dark Mind -- Material Synthesis -- Photonic Learning.
    Abstract: This book addresses an attempt to create Photonic Artificial Intelligence (PAI) system based on optical technologies, which process signals continuously. PAI could help to overcome digital computer limits and almost zero out the machine learning time and AI inference. It helps to consider feelings, the chaos of thoughts, cognitive activity, and the transcendental states of the human mind in AI systems. The book also discusses new problems such as synthesizing new photonic materials, creating optical control systems, and connecting PAI systems with outside digital computers and holographic memory. The book is aimed at a wide range of readers, including postgraduates and researchers, interested in advanced AI by creating its new paradigm, which can help to overcome traps of traditional AI development.
    DOI: 10.1007/978-981-97-1291-5
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    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
    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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  • 37
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    Fourth Congress on Intelligent Systems : CIS 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990405
    Language: English
    Pages: 1 Online-Ressource(XVIII, 481 p. 215 illus., 156 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 869
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: 1. Comparative study of various machine learning techniques for Parkinson disease detection based on handwriting -- 2. A Systematic Review of Air Pollution and Weather Parameters Detection Methods in Satellite Remote Sensing -- 3. Fingerprint Based Asymmetric Bio-Cryptographic Key Generation Using Convolution Network -- 4. Comparison of Brain Tumor Detection Techniques by Using Different Machine Learning YOLO Algorithms -- 5. Media Steganography Using CNN With Blockchain Enabled Secure File Transfer -- 6. Diagnosing ADHD and Personality Disorders as per DSM-5 using Novel APK, PDPK and DDPK Machine Learning Algorithms -- 7. Inception Time Model for Structural Damage Detection using Vibration Measurements -- 8. Exploring Challenges and Innovations in E-commerce Recommendation Systems: A Comprehensive Review -- 9. Enhanced Ensemble Classifiers for Heart Disease Prediction -- 10. Study of RNN with its CNN based hybridization for temporal remote sensing data processing to map rabi crops.
    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: 10.1007/978-981-99-9040-5
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    Advances in Tourism, Technology and Systems : Selected Papers from ICOTTS 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819997657
    Language: English
    Pages: 1 Online-Ressource(XIV, 551 p. 121 illus., 96 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 383
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Tourism. ; Management. ; Big data.
    Abstract: Competencies and Skills for Tourism Education Advancement: A Bibliometric Analysis and Literature Review -- The importance of Food & Beverage Service in the cruise passengers -- Environmental sustainability of social and executive events in Ciudad Juárez, Mexico -- Health and economy: a necessary relationship to face the path towards sustainable development in latin america and the caribbean, post covid -- Covid 19 and the challenge of the health, tourism, and economic sectors, towards the path of sustainable development in Latin America and the Caribbean -- The importance of foreign language mastery in the tourism sector -- Tourism Destination Branding as a Marketing Factor: A Short Literature Review with a Focus on Northern Cyprus -- The reality of Blockchain Technology for the Digital Business world -- The Influence of Business Cycles on Corporate Performance: Evidence from Outdoor tourism -- Marketing trade-offs in periods of low and high munificence: A study of tourism enterprises in Uruguay -- Development of a Mobile App as an adjuvant treatment for thermal context patients -- Validation of a Mobile App as an adjuvant treatment for thermal context patients: a randomized controlled trial protocol -- Dark Heritage Tourism in Portugal: a resource to explore -- Adventure tourism in Santo Domingo Province based in an educational proposal -- Sustainable education and the challenges of the contemporary world -- Space tourism: Progress, obstacles and growth prospects bearing in mind public and private projects -- Understanding the Complexities of Leadership and Intersectionality in Women in Tourism Research: A Conceptual Analysis -- The application of information technologies for agrotourism in the municipality of Guapotá, Santander, Colombia -- Dance as representative body language of various Amazonian cultures -- The role of familiness and cultural heritage in touristic family-owned restaurants of Juarez, Mexico -- The Impact of Information Technologies on the tourist experience: Caseof Tabasco, Mexico -- Archaeological Tourism in Pacto - Pichincha based in a tourist educational proposal -- Best Evacuation Simulation Strategies – Analysis of a River Cruise Ship Case -- Local gastronomy and the role of confraternities in tourism valorization. The confraternity of bucho raiano in the promotion of inland tourism -- Music Events, Sustainability and Accessibility: Case Study on the Coldplay Tour in Brazil -- Sustainability and Technological Advancements in Tourism Events: the case of Electric Love Festival (Salzburg, Austria) -- Landscape and nature tourism activities evaluation through social networks -- Attachment theory and sense of place for visitors to Kaz-begi National Park -- The construction of the brand narrative through the creation of corporate museums -- Structuring a gastronomic route on the local sweets and other cultural heritage: The case of The Route of Arouca’s Sweet Secrets -- Cultural Indicators as a Tool for Assessing Sustainable Development in the Alto DouroWine Region -- Itineraries of memory and historical recreation based on mental maps: A Study in Lamego, Portugal -- Community and tourist’s perceptions as contributions to Rural destination development: the Fontoura collab framework pilot -- Building an Irresistible Shopping Experience: The Power of Personality, Subjective Well-Being and Parasocial Relations on the Online Impulse Buying Tendency -- Social media as a marketing strategy in hospitality: case study of the Braga city -- Exploring Tourism Potential in Muş: Embracing Unique Experiences in an Undeveloped Region -- Egocentric networks design in tourism’s indigenous social enterprises -- Motivations of Youth Tourism: The Case of University Students in the Porto and North Region -- Application of Artificial Intelligence in companies in the tourism sector: the case of chatbots -- Rural and community tourism: An alternative in postdevelopment -- Practitioners' Perception Regarding Bio Certified Food in Public Food Units in Brasov -- The influence of the Covid-19 crisis on financial statements manipulations in the Portuguese wine and tourism sector -- Artificial intelligence in education in Cape Verde: potential and challenges -- The climate in different tourist locations affecting chil- dren with bronchial asthma -- Robotics evolves the industry tourism: advantages and challenges -- Young people with asthma on vacation at Aqua Park - Esmeraldas -- The impact of health and wellness tourism on tourists' physical, mental, and emotional balance.
    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: 10.1007/978-981-99-9765-7
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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
    Parallel Title: Erscheint auch als
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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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    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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    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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    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
    Parallel Title: Erscheint auch als
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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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    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
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    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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    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 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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    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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    Data Science and Emerging Technologies : Proceedings of DaSET 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819702930
    Language: English
    Pages: 1 Online-Ressource(XX, 579 p. 189 illus., 166 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 191
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data. ; Internet of things. ; Computer vision.
    Abstract: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
    DOI: 10.1007/978-981-97-0293-0
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  • 48
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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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    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
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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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    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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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume VII (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819711031
    Language: English
    Pages: 1 Online-Ressource(VIII, 493 p. 291 illus., 221 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1177
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. A personalized ramp merging decision-making method for autonomous driving based on reverse reinforcement learning -- Chapter 2. An adaptive cruise hybrid control method for unmanned driving -- Chapter 3. Dynamic Quantitative Analysis for Large Scale Skid-steered UGV -- Chapter 4. An Optimization-based Path Planning Method for Unmanned Systems in Multi-obstacle Environments -- Chapter 5. An adaptability-based terrain costmap for heterogeneous vehicle swarm path planning -- Chapter 6. Attention encoder-decoder network based autonomous risk driving identification for connected heavy-duty vehicles -- Chapter 7. Loosely-coupled Camera-IMU-OGS fusion Localization -- Chapter 8. Multi-sensing pedestrian detection method based on an improved EPNet -- Chapter 9. Abrupt Lane Change Recognition Model Towards Autonomous Vehicle based on Lane Line Inclination -- Chapter 10. Path-oriented Green Wave Speed Control Model Towards Autonomous Vehicle, etc.
    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: 10.1007/978-981-97-1103-1
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume VI (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710997
    Language: English
    Pages: 1 Online-Ressource(VIII, 468 p. 349 illus., 294 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1176
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment -- Chapter 2. Design of Dual-rotor Vehicle Controller Based on Auto Disturbance Rejection -- Chapter 3. SLAM Loopback Detection and Down Sampling Optimization in Unattended Patrol Environment -- Chapter 4. OC-DWA: an improved dynamic window approach for USV online planning considering ocean currents -- Chapter 5. A Lightweight RGB-D Image-Based 3D Object Detector for Mobile Robots -- Chapter 6. Adaptive Control of Path Tracking Based on Improved Pure Pursuit Algorithm -- Chapter 7. LuoJia-Explorer: Unmanned Collaborative Localization and Mapping System -- Chapter 8. An effectiveness evaluation methodology of reconnaissance/strike UAV formation based on OODA -- Chapter 9. Fast Autonomous Exploration with Sparse Topological Graphs in Large-Scale Environments -- Chapter 10. LiDAR-based small-sized obstacles detection for mobile robot, etc.
    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: 10.1007/978-981-97-1099-7
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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
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    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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    Communication and Intelligent Systems : Proceedings of ICCIS 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819720798
    Language: English
    Pages: 1 Online-Ressource(XVIII, 456 p. 149 illus., 122 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 968
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Image processing ; Computer vision. ; Machine learning.
    Abstract: Multilingual Speech Recognition: An In-depth Review of Applications, Challenges, and Future Directions -- Performance Evaluation of Job Shop Scheduling Problem using Proposed Hybrid of Black Hole and Firefly Algorithms -- Machine Learning and Healthcare: A Comprehensive Study -- Evolutionary Algorithms for Fibers Upgrade Sequence Problem on MB-EONs -- Exploring the Potential of Deep Learning Algorithms in Medical Image Processing: A Comprehensive Analysis -- Comparative Analysis of Image Enhancement Techniques: A Study on Combined and Individual Approaches -- Smishing: A SMS Phishing Detection Using Various Machine Learning Algorithms -- Convolution Neural Network (CNN) based Live Pig Weight estimation in Controlled Imaging Platform -- A Novel Image Encryption Technique based on DNA Theory and Chaotic Maps -- An Empirical Study on Comparison of Machine Learning Algorithms for Eye-State Classification using EEG data -- Decoding the UK's Stance on AI: A Deep Dive into Sentiment and Topics in Regulations -- Latest Trends on Satellite Image Segmentation -- Landmark detection using Convolutional Neural Network: A Review -- An Efficient Illumination Invariant Tiger Detection Framework for Wildlife Surveillance -- An Innovative Frequency -- Limited Interval Gramians-Based Model Order Reduction Method using Singular Value Decomposition.
    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: 10.1007/978-981-97-2079-8
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    Intelligent Data Engineering and Analytics : Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023) (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819967063
    Language: English
    Pages: 1 Online-Ressource(XVIII, 635 p. 281 illus., 223 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 371
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering ; Quantitative research.
    Abstract: Chapter 1: Ant Bee Colony for Automated black-box testing of RESTful API -- Chapter 2: Classifying Human Activities using Machine Learning and Deep Learning Techniques -- Chapter 3: Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A mixed method protocol -- Chapter 4: Novel Deep Learning Models for Optimizing Human Activity Recognition using Wearable Sensors: An Analysis of Photoplethysmography and Accelerometer Signals -- Chapter 5: Link Prediction in Complex networks: An Empirical Review -- Chapter 6: High Utility Itemset Mining and Inventory Management: Theory and Use Cases -- Chapter 7: Using Clustering Approach to Enhance Prioritization of Regression Test Cases -- Chapter 8: Nucleus Segmentation using Adaptive Thresholding for Analysis of Blood and Bone Marrow Smear Images -- Chapter 9: A Systematic Review on Automatic Speech Recognition for Odia language -- Chapter 10: A Study on Influence Maximization in complex networks. etc.
    Abstract: The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
    DOI: 10.1007/978-981-99-6706-3
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    Decision Intelligence Solutions : Proceedings of the International Conference on Information Technology, InCITe 2023, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819959945
    Language: English
    Pages: 1 Online-Ressource(XII, 394 p. 175 illus., 137 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1080
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Telecommunication.
    Abstract: Decision Intelligence & Data Science -- AI For Decision Making -- AI For Decision Making -- AI For Decision Making.
    Abstract: This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision-making and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.
    DOI: 10.1007/978-981-99-5994-5
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    Multi-Modal Sentiment Analysis (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819957767
    Language: English
    Pages: 1 Online-Ressource(XXI, 261 p. 1 illus.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Data mining. ; Artificial intelligence. ; Robotics.
    Abstract: Chapter 1. Overview -- Chapter 2. Multimodal Sentiment Analysis Data sets and Preprocessing -- Chapter 3. Early Unimodal Sentiment Analysis of Comment Text based on Traditional Machine Learning -- Chapter 4. Unimodal Sentiment Analysis -- Chapter 5. Cross-Modal Sentiment Analysis -- Chapter 6. Multimodal Sentiment Analysis -- Chapter 7. Multimodal Sentiment Analysis Platform and Application -- Appendix.
    Abstract: The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields.
    DOI: 10.1007/978-981-99-5776-7
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    Intelligent Software Defect Prediction (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819928422
    Language: English
    Pages: 1 Online-Ressource(XI, 205 p. 1 illus.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence. ; Computer science.
    Abstract: Chapter 1 Introduction -- Chapter 2 Application of Machine Learning Techniques in Intelligent SDP -- Chapter 3 Within-Project Defect Prediction -- Chapter 4 Cross-Project Defect Prediction -- Chapter 5 Heterogeneous Defect Prediction -- Chapter 6 Empirical Findings on HDP Approaches -- Chapter 7 Other Research Questions of SDP -- Chapter 8 Conclusions.
    Abstract: With the increasing complexity of and dependency on software, software products may suffer from low quality, high prices, be hard to maintain, etc. Software defects usually produce incorrect or unexpected results and behaviors. Accordingly, software defect prediction (SDP) is one of the most active research fields in software engineering and plays an important role in software quality assurance. Based on the results of SDP analyses, developers can subsequently conduct defect localization and repair on the basis of reasonable resource allocation, which helps to reduce their maintenance costs. This book offers a comprehensive picture of the current state of SDP research. More specifically, it introduces a range of machine-learning-based SDP approaches proposed for different scenarios (i.e., WPDP, CPDP, and HDP). In addition, the book shares in-depth insights into current SDP approaches’ performance and lessons learned for future SDP research efforts. We believe these theoretical analyses and emerging challenges will be of considerable interest to all researchers, graduate students, and practitioners who want to gain deeper insights into and/or find new research directions in SDP. It offers a comprehensive introduction to the current state of SDP and detailed descriptions of representative SDP approaches.
    DOI: 10.1007/978-981-99-2842-2
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    Proceedings of International Conference on Information and Communication Technology for Development : ICICTD 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811975288
    Language: English
    Pages: 1 Online-Ressource(XVII, 558 p. 331 illus., 216 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Autonomic, Data-driven and Industrial Computing
    Parallel Title: Erscheint auch als
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    DDC: 006.3
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: Notes on Image Watermarking and Steganography -- Vehicle Detection Using Deep Learning Method and Adaptive and Dynamic Automated Traffic System via IoT using Surveillance Camera -- Predicting Average Localization Error of Underwater Wireless Sensors via Decision Tree Regression and Gradient Boosted Regression.
    Abstract: This book gathers outstanding research papers presented at the International Conference on Information and Communication Technology for Development (ICICTD 2022), held on July 29–30, 2022, at the Institute of Information and Communication Technology (IICT), Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh. The topics covered are ICT in health care, ICT in e-commerce, e-governance, collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics and IoT, information systems, computer network, algorithms, and natural language processing.
    DOI: 10.1007/978-981-19-7528-8
    URL: lizenzpflichtig
    URL: https://doi.org/10.1007/978-981-19-7528-8
    URL: Inhaltsverzeichnis
    URL: Ausführliche Beschreibung
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    Ethics in Artificial Intelligence: Bias, Fairness and Beyond (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819971848
    Language: English
    Pages: 1 Online-Ressource(XII, 143 p. 18 illus., 16 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1123
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Künstliche Intelligenz ; Maschinelles Lernen ; Ethik
    Abstract: Making Socially Sustainable and Ethical AI Systems: Integrating Impact Assessment in the Co-Design Approach -- Discrimination in Advertising and Personalization -- Biases and Ethical Considerations in ML Pipelines In The Computational Social Sciences -- Operationalizing Fairness -- Achieving Group and Individual Fairness in Clustering Algorithms -- Fair Allocation of Structured Set Systems -- Algorithmic Fairness for Decisions Across Time -- Algorithmic Fairness in Multi-stakeholder Platforms -- Fairness Testing, Debugging and Repairing -- Interpretability of Machine Learning Models.
    Abstract: This book is a collection of chapters in the newly developing area of ethics in artificial intelligence. The book comprises chapters written by leading experts in this area which makes it a one of its kind collections. Some key features of the book are its unique combination of chapters on both theoretical and practical aspects of integrating ethics into artificial intelligence. The book touches upon all the important concepts in this area including bias, discrimination, fairness, and interpretability. Integral components can be broadly divided into two segments – the first segment includes empirical identification of biases, discrimination, and the ethical concerns thereof in impact assessment, advertising and personalization, computational social science, and information retrieval. The second segment includes operationalizing the notions of fairness, identifying the importance of fairness in allocation, clustering and time series problems, and applications of fairness in software testing/debugging and in multi stakeholder platforms. This segment ends with a chapter on interpretability of machine learning models which is another very important and emerging topic in this area.
    DOI: 10.1007/978-981-99-7184-8
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    Decision Intelligence : Proceedings of the International Conference on Information Technology, InCITe 2023, Volume 1 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819959976
    Language: English
    Pages: 1 Online-Ressource(XII, 426 p. 187 illus., 142 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1079
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Telecommunication.
    Abstract: This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks, and intelligence, decision-making, and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.
    DOI: 10.1007/978-981-99-5997-6
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    Industry 4.0 and Healthcare : Impact of Artificial Intelligence (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819919499
    Language: English
    Pages: 1 Online-Ressource(VI, 251 p. 95 illus., 74 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advanced Technologies and Societal Change
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical care. ; Cooperating objects (Computer systems). ; Internet of things. ; Health services administration.
    Abstract: An Artificial Intelligence Based Model for the Detection of Heart Disease Using Machine Learning -- Recent Advancements in AI-Assisted Drug Design and Discovery Systems -- Designing Dense-Healthcare IOT Networks for Industry 4.0 Using AI based Energy Efficient Reinforcement Learning Protocol -- The Impact of Artificial Intelligence on Healthcare -- Brain Tumor Segmentation of MR Images Using SVM and Fuzzy Classifier in Machine learning.
    Abstract: This book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data.
    DOI: 10.1007/978-981-99-1949-9
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    WAIC and WBIC with Python Stan : 100 Exercises for Building Logic (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819938414
    Language: English
    Pages: 1 Online-Ressource(XII, 242 p. 44 illus., 38 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Artificial intelligence
    Abstract: Over view of Watanabe's Bayes -- Introduction to Watanabe Bayesian Theory -- MCMC and Stan -- Mathematical Preparation -- Regular Statistical Models -- Information Criteria -- Algebraic Geometry -- The Essence of WAOIC -- WBIC and Its Application to Machine Learning.
    Abstract: Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion. This book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in Python and Stan. Whether you’re a data scientist looking to refine your model selection process or a researcher who wants to explore the latest developments in Bayesian statistics, this accessible guide will give you a firm grasp of Watanabe Bayesian Theory. The key features of this indispensable book include: A clear and self-contained writing style, ensuring ease of understanding for readers at various levels of expertise. 100 carefully selected exercises accompanied by solutions in the main text, enabling readers to effectively gauge their progress and comprehension. A comprehensive guide to Sumio Watanabe’s groundbreaking Bayes theory, demystifying a subject once considered too challenging even for seasoned statisticians. Detailed source programs and Stan codes that will enhance readers’ grasp of the mathematical concepts presented. A streamlined approach to algebraic geometry topics in Chapter 6, making Bayes theory more accessible and less daunting. Embark on your machine learning and data science journey with this essential textbook and unlock the full potential of WAIC and WBIC today!
    DOI: 10.1007/978-981-99-3841-4
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    Applied Computing for Software and Smart Systems : Proceedings of ACSS 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819977833
    Language: English
    Pages: 1 Online-Ressource(XI, 232 p. 120 illus., 83 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 781
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Cloud Computing. ; Quantitative research.
    Abstract: Generation of All Rooted Ordered Trees -- Quasistatic Computation and Thermodynamic Approach -- Augmentation of Mixing Quality and Its Analysis based on Electrode Shape Diversity in Digital Microfluidic Biochips -- Prediction of Student Performance in Online Classes Using Machine Learning -- Diabetes Syndrome Prophecy Using Machine Learning.
    Abstract: This book features a collection of high-quality research papers presented at the 10th International Symposium on Applied Computing for Software and Smart systems (ACSS 2023), to be held during September 15–16, 2023, in Kolkata, India. The book presents innovative works by undergraduate, graduate students as well as Ph.D. scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.
    DOI: 10.1007/978-981-99-7783-3
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    Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022) : Methods, Algorithms and Applications (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811971846
    Language: English
    Pages: 1 Online-Ressource(XVII, 731 p. 400 illus., 265 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 323
    Parallel Title: Erscheint auch als World Conference on Intelligent and 3-D Technologies (2022 : Online) Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022)
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Image processing.
    Abstract: This book features a collection of high-quality, peer-reviewed research papers presented at first ‘World Conference on Intelligent and 3-D Technologies’ (WCI3DT 2022), held in China during May 24–26, 2022. The book provides an opportunity for the 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: 10.1007/978-981-19-7184-6
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    Computational Intelligence and Data Analytics : Proceedings of ICCIDA 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811933912
    Language: English
    Pages: 1 Online-Ressource(XIV, 633 p. 296 illus., 221 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 142
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Internet of things. ; Telecommunication.
    Abstract: Text Summarization Approaches under Transfer Learning and Domain Adaptation Settings – A Survey -- An Effective Eye-Blink Based Cyber Secure PIN Password Authentication System -- A Comparison of Algorithms for Bayesian Network Learning for Triple Word Form Theory -- Application of Machine Learning Algorithm in Identification of Anaemia Diseases -- Detection of Fruits Image Applying Decision Tree Classifier Techniques.
    Abstract: The book presents high-quality research papers presented at the International Conference on Computational Intelligence and Data Analytics (ICCIDA 2022), organized by the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India in January 2022. ICCIDA provides an excellent platform for exchanging knowledge with the global community of scientists, engineers, and educators. This volume covers cutting-edge research in two prominent areas – computational intelligence and data analytics, and allied research areas.
    DOI: 10.1007/978-981-19-3391-2
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    Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2021 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811914843
    Language: English
    Pages: 1 Online-Ressource(XII, 236 p. 163 illus., 132 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Artificial intelligence—Data processing. ; Image processing—Digital techniques. ; Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Computer vision. ; Image processing ; Artificial intelligence
    Abstract: Chapter 1. A Deep Learning Approach To Analyze Traffic Congestions For Effective Traffic Management -- Chapter 2. Building Energy Consumption Prediction Model using Machine Learning -- Chapter 3. An End-to-End GUI based Real Time Attendance System by Training Annotated Facial Data on YOLO v3 Algorithm -- Chapter 4. A Multi-factor Security Protocol for Wireless Payment-Secure Web Authentication using Mobile Devices -- Chapter 5. IoT Based Greenhouse Monitoring -- Chapter 6. HOME AUTOMATION USING TELEGRAM BOT -- Chapter 7. Application of IoT in Hospital Management -- Chapter 8. Vehicle Tracking by Using IOT Applications -- Chapter 9. Smart Vehicle and Smart Parking System using IOT -- Chapter 10. Automatic Water Irrigation System using IoT -- Chapter 11. Development of Safety Monitoring for an IOT-enabled smart Environment -- Chapter 12. LOW-COST ECG BASED HEART MONITORING SYSTEM WITH UBIDOTS PLATFORM -- Chapter 13. Design of hybrid soft computing techniques for estimation of suspended sediment yield in Krishna River, India -- Chapter 14. QR BASED TICKET VERIFICATION AND PARKING SYSTEM -- Chapter 15. Design and Analysis of Uniformly Illuminated 8-way Wilkinson Power Divider for L-Band Applications.
    Abstract: This book includes the original, peer-reviewed research articles from the 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 – 22, 2021, at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.
    DOI: 10.1007/978-981-19-1484-3
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    Data Management, Analytics and Innovation : Proceedings of ICDMAI 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811926006
    Language: English
    Pages: 1 Online-Ressource(XV, 731 p. 343 illus., 259 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 137
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Artificial intelligence—Data processing. ; Quantitative research. ; Machine learning. ; Artificial intelligence. ; Information retrieval. ; Computer architecture. ; Engineering ; Artificial intelligence
    Abstract: Part I: Machine Learning -- Recognizing similar relationships within ontology to fine tune Ontology -- Object Detection using Peak, Balanced Division Point and Shape based Features -- End to End Agile and Automated Machine Learning Framework for Trustworthy, Reliable and Sustainable Artificial Intelligence -- Automated Structured Data Extraction from Scanned Document Images -- Effective Sentiment Analysis of Bengali Corpus by using the Machine Learning approach -- Review on Android Malware Detection System -- Hypothesis Testing of Tweet Text using NLP -- Forecasting Severe Thunderstorm by applying SVM Technique on Cloud imageries -- Breast Cancer Prediction using MachineLearning Techniques -- Ontology-Driven Scientific Literature Classification using Clustering and Self-Supervised Learning -- Modeling and forecasting Tuberculosis cases using machine learning and deep learning approaches: A Comparative Study -- Drone Integrated Detection and Rebarbative System with Variable Frequency for Agricultural Farm Invading Animals -- Support Vector Machines and Random Forest Classification models for identification of Stability in Extrusion Film Casting Process -- Predicting CO2 emissions by Vehicles using Machine Learning -- Augmented Feature Generation using Maximum Mutual Information Minimum Correlation -- Impact of Energy Sector on Climate Change in India using Forecasting Models -- Towards Efficient Edge Computing Through Adoption of Reinforcement Learning Strategies: A Review -- Thematic Classification Based On Topological Traits -- Machine Learning based Earthquake Early Warning (EEW) System: A case study of Himalayan Region -- Topic Modelling Based Semantic Search -- Machine Learning based Automated Process for Predicting the Anomaly in AIS Data -- A Hybrid Machine Learning Model for Estimation of Obesity Levels -- Part II: AI & Deep Learning -- Regulations 4.0: Digitally Transforming the Regulatory Space -- Speech To Text for Data Entry - Opportunities and Challenges -- A Gamification Architecture For Online Learning Platform using Neural Network -- Literature Review on Sign Language Generation -- Indoor Navigation Using Augmented Reality -- Foreign object detection on an assembly line -- Inverse Contexture Abstractive Term Frequency Model using Surf Scale Diffusive Neural Network for analysis of fake social content in public forum -- Literature Review on Machine Translation Systems for Sign Language Generation -- Depression Detection from Twitter Data using Two Level Multi-modal Feature Extraction -- COVID-19 Regulations Check: Social Distancing, People Counting and Mask Wear Check -- Urdu & Hindi Poetry Generation using Neural Networks -- Implementation of Open Domain Question Answering System -- Design and Implementation of Surround View Monitoring System in View of Autonomous Vehicle -- Generation of Indian Sign Language Animation from Audio and Video Content using Natural Language Processing -- Histogram Based Initial Centroids Selection for K-Means Clustering -- Siamese Network-based system for criminal identification -- Track-III: Data Storage Management & Innovation -- Organization Network Analysis for study of employee techno-social connects and effect of human behavior and organizational culture on the underlying network -- Track IV: Enabling Technologies & Applications -- Sky Computing Smart Locality Aware approach for Health Analytics -- Citation Biases: Detecting Communities from Patterns of Temporal Variation in Journal Citation Networks -- Enhancing the Performance of Multiple Wi-Fi Network -- ARCaddy: Augmented Reality App Suite for Aircraft Maintenance -- Meditation Therapy for Stress Management Using Brainwave Computing and Real Time Virtual Reality Feedback -- Real Time Carbon Emissions Calculator for Personal Computers -- Track-V: Data Science Techniques for handling Pandemic -- Navigation System for Visually Impaired People -- Design aspects of a Multi-dimensional Hybrid analytical processing system -- A data science approach to evaluate drug effectiveness: Case Study of Remdesivir for Covid-19 patients in India -- A Softcomputing Approach For Predicting And Categorising Learner’s Performance Using Fuzzy Model.
    Abstract: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14–16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
    DOI: 10.1007/978-981-19-2600-6
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    Soft Computing for Security Applications : Proceedings of ICSCS 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811935909
    Language: English
    Pages: 1 Online-Ressource(XVI, 775 p. 366 illus., 282 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1428
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    Keywords: Computer networks—Security measures. ; Computational intelligence. ; Artificial intelligence. ; Data protection. ; Computer networks
    Abstract: Smart Question Paper Evaluation: Automated Approach Using the Jaccard Similarity -- Smart Patterns: Searching a Pattern in the Unknown Environment Using Hybrid Framework -- Image Processing Techniques for PCB Board Fault Analysis with Object Extraction and Measurements -- Gamification of Knowledge Management System: A Framework to Incentivize Knowledge Sharing for the Software Industry -- Privacy Attributes Aware Framework in Information Disclosure Models for Public During Pandemic.
    Abstract: This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.
    DOI: 10.1007/978-981-19-3590-9
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    Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2022, Volume 3 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811946769
    Language: English
    Pages: 1 Online-Ressource(XVIII, 695 p. 303 illus., 219 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1348
    Parallel Title: Erscheint auch als
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    Keywords: Image processing—Digital techniques. ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Computer vision. ; Image processing
    Abstract: Part 1: Computational Intelligence -- Chapter 1. Empowering Indian Citizens through the Secure E-Governance: The Digital India Initiative Context -- Chapter 2. A Performance Evaluation of Genetic Algorithm and SimulatedAnnealingfor the solution of TSP with profit using Python -- Chapter 3. Performance Assessment of DVR in a Solar-Wind Hybrid Renewable Energy Connected to Grid Using ANN -- Chapter 4. Development Of IoT Middleware Broker Communication Architecture for Industrial Automation With Focus on Future Pandemic Possibilities: Industry 5.0 -- Chapter 5. Graceful Labeling of Hexagonal and Octagonal Snakes along a Path -- Chapter 6. Comparison and Analysis of Various Autoencoders -- Chapter 7. A new delta (δ)-doped partly insulated SOI MOSFET for analogue/RF applications -- Chapter 8. Energy Monitoring with Trend Analysis and Power Signature Interpretation -- Chapter 9. Analysis of NavIC Signal Data for Topological Precision -- Part 2: Advance Computing -- Chapter 10. Experimental Study on Resource Allocation for a Software Defined Network based Virtualized Security Functions Platform -- Chapter 11. Smart Intelligent drone for painting using IoT: An automated approach for efficient painting -- Chapter 12. Auto-Guide for caroms playing using IoT -- Chapter 13. Blockchain Enabled Internet-Of-Vehicles on Distributed Storage -- Chapter 14. Utilizing Off-Chain Storage Protocol for Solving the Trilemma Issue of Blockchain -- Chapter 15. An empirical evaluation to measure the blended effect of Test-Driven Development with Looped Atriculation Method.
    Abstract: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.
    DOI: 10.1007/978-981-19-4676-9
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    Proceedings of International Conference on Computational Intelligence : ICCI 2021 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811921261
    Language: English
    Pages: 1 Online-Ressource(XII, 478 p. 233 illus., 171 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Big data. ; Computer engineering. ; Computer networks .
    Abstract: Automatic Pathological Myopia detection using Ensemble Model -- Biased Online Media Analysis Using Machine Learning -- Multi-Robot Formation Control using Integral Third Order Super-Twisting Controller in Cyber-Physical Framework -- Visually Guided UGV for Autonomous Mobile Manipulation in Dynamic and Unstructured GPS Denied Environments -- Dynamics and Control of Quadrupedal Robot -- Automated Identification of Tachyarrhythmia from Different Datasets of Heart Rate Variability using a Hybrid Deep Learning Model -- Application of Complex Network Principles to Identify Key Stations in Indian Railway Network -- A review on transliterated text retrieval for Indian languages -- Disturbance Observer based Sliding Mode Controller with Mismatched Disturbance for Trajectory Tracking of a Quadrotor -- An Intelligent Game Theory Approach for Collision Avoidance of Multi-UAVs -- Revolutionary Solutions for Comprehensive Assessment of COVID–19 Pandemic -- Learning-Based Smart Parking System -- Coverless Information Hiding: A Review -- Manipulating muscle activity data from Electromyography for various applications using artificial intelligence -- Aerial Object Detection using Different Models of YOLO Architecture: A Comparative Study -- Anomalous Human Activity Detection using Stick Figure and Deep Learning Model -- Noise Removal in ECG Signals utilizing Fully Convolutional DAE -- Sensor-Based Secure Framework for IOT based Smart Homes -- Sketch-based face recognition -- Simplified TOPSIS for MLN-MODM problems -- Hidden Markov Modelling for Biological Sequence -- A Novel Ensemble Model to Summarize Kannada texts.
    Abstract: The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2021) held online during 27–28 December, 2021. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
    DOI: 10.1007/978-981-19-2126-1
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    Proceedings of Third Doctoral Symposium on Computational Intelligence : DoSCI 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811931482
    Language: English
    Pages: 1 Online-Ressource(XXXIV, 861 p. 430 illus., 328 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 479
    Parallel Title: Erscheint auch als
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    Keywords: Artificial intelligence—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Artificial intelligence
    Abstract: TransCRF - Hybrid Approach for Adverse Event Extraction -- Process of Recognition of Plant Diseases by Using Hue Histogram, K-Means Clustering and Forward-Propagation Deep Neural Networks -- Analysis of Variants of BERT and Big Bird on Question Answering Datasets in the Context of Scientific Research Article Reviews -- Twitter Opinion Mining on COVID-19 Vaccinations by Machine Learning Presence -- Blockchain-Based Efficient and Secured Framework for Logistics Management -- Blockchain-Based Framework to Handle Security & Privacy for IoT System -- Knowledge Management using Blockchain Technology for Digital Resources -- Blockchain Mechanism for Resolving Privacy Issues in a Smart City -- Design and Analysis of 50 Channel by 40 Gbps DWDM RoF System for 5G Communication Based on Fronthsul Scenario -- A Semantic Approach to Data Integration from Clinical Polystore -- Service Matter Judgement Prediction using Machine Learning -- Predicting Smart Building Occupancy using Machine Learning -- Formal Specification of Dynamic Load Based Coordinator Selection Algorithm with Recovery in Distributed Systems.
    Abstract: This book features high-quality research papers presented at Third Doctoral Symposium on Computational Intelligence (DoSCI 2022), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 5, 2022. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high performance computing, biomedical computing, and decision support and decision making.
    DOI: 10.1007/978-981-19-3148-2
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    Communication and Applied Technologies : Proceedings of ICOMTA 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811963476
    Language: English
    Pages: 1 Online-Ressource(XX, 579 p. 166 illus., 142 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 318
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical informatics. ; Statistics .
    Abstract: Support System to Predict Student Dropout in Universities -- Classification of Electrooculography Signals Using Convolutional Neural Networks for Interaction with a Manipulator Robot -- Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems -- Virtual Reality Serious Game Session for Rehabilitation Through Calculation of the Center of Pressure in a Stabilometric Platform -- Development of an Energy Management System for a Microgrid Using Neural Networks. Case Study: San Cristobal Island, Galapagos Archipelago.
    Abstract: This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2022), jointly organized by the Universidad del Rosario (Bogotá, Colombia) and the Universidad Politécnica Salesiana (Cuenca, Ecuador), and as collaborators at the University of Vigo (Galicia, Spain), the University of Santiago de Compostela-Political Research Team (Galicia, Spain), and the Network of Communication Researchers of Ecuador (RICE), during August, 31–September 2, 2022. It covers recent advances in the field of digital communication and processes, digital social media, software, big data, data mining, and intelligent systems.
    DOI: 10.1007/978-981-19-6347-6
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    Transactions on Intelligent Welding Manufacturing : Volume IV No. 2 2020 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811961496
    Language: English
    Pages: 1 Online-Ressource(VII, 107 p. 71 illus., 61 illus. in color.)
    Edition: 1st ed. 2023.
    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 2020 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2020) 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: 10.1007/978-981-19-6149-6
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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2022, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811976636
    Language: English
    Pages: 1 Online-Ressource(XXXI, 783 p. 340 illus., 269 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 579
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: How Predictive Software Engineering Creates Effective Business Solutions Through Custom Software Development -- Roadcast: A Vehicle Incident Management System and Forecasting Implementing Moving Average -- Beak-A-Boo: An Augmented Reality Mobile Application About Endangered Bird Species in the Philippines -- E-commerce Platform with Recommender System and Android Mobile Application -- Geoparks as sites for conservation, education, and development: a bibliometric review -- IoT Smart Irrigation System for Precision Agriculture -- Value Proposal: A Participatory Brand Construction Model -- OCD: On-Demand Ordering Food through Online Crowdsourcing -- Augmented reality in e-commerce: the new era of online shopping.
    Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2022) 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: 10.1007/978-981-19-7663-6
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    Proceedings of International Conference on Data Science and Applications : ICDSA 2022, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811966347
    Language: English
    Pages: 1 Online-Ressource(XXV, 915 p. 433 illus., 331 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 552
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Improving River Streamflow Forecasting utilizing Multi-layer Perceptron-based Butterfly Optimization Algorithm -- Covid-19 Contact Tracing Using Low Calibrated Transmission Power from BLE – Approach & Algorithm Experimentation -- Monitoring loud commercials in television broadcast -- Potential Customers Prediction in Bank Telemarketing -- Analysis and implementation of normalization techniques on KDD'99 Dataset for Detect and Prevent Intrusion on Network -- Deep Neural Networks Predicting Student Performance -- An Efficient Group Signature Scheme based on ECDLP -- Sentiment Analysis of COVID-19 tweets using TextBlob and Machine Learning classifiers - An evaluation to show how COVID -19 opinions is influencing psychological reactions of people‘s behaviour in social media.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. 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: 10.1007/978-981-19-6634-7
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    Proceedings of International Conference on Data Science and Applications : ICDSA 2022, Volume 1 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811966316
    Language: English
    Pages: 1 Online-Ressource(XXVII, 957 p. 397 illus., 322 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 551
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Cancer Prognosis by Using Machine Learning and Data Science: A systematic review -- Understanding Agriculture Scenario of Punjab: A Qualitative Research of Crop parameter in relation to fertilizer usage -- Face Detection Based Border Security System Using Haar-Cascade and LBPH Algorithm -- Proposed Experimental Design of a Portable COVID-19 Screening Device Using Cough Audio Samples -- Big Data Framework for Analytics Business Intelligence -- Technological Impacts of AI on Hospitality and Tourism Industry -- Improvement of Real-Time Kinematic Positioning Using Kalman Filter-Based Singular Spectrum Analysis during Geomagnetic Storm for Thailand sector.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. 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: 10.1007/978-981-19-6631-6
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    Soft Computing for Problem Solving : Proceedings of the SocProS 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811965258
    Language: English
    Pages: 1 Online-Ressource(XXII, 733 p. 237 illus., 197 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 547
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Algorithms.
    Abstract: Chapter 1. Benchmarking state-of-the-art methodologies for optic disc segmentation -- Chapter 2. Automated Student Emotion Analysis During Online Classes using Convolutional Neural Network -- Chapter 3. Transfer Learning based Malware Classification -- Chapter 4. A Study on Metric-Based and Initialization-Based Methods for Few-Shot Image Classification -- Chapter 5. A Fast and Efficient Methods for Eye pre-processing and DR Level Detection -- Chapter 6. A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal -- Chapter 7. An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach -- Chapter 8. Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture -- Chapter 9. Medical Prescription Label Reading using Computer Vision and Deep Learning -- Chapter 10. Autoencoder-based Deep Neural Architecture for Epileptic Seizures Classification -- Chapter 11. Stock Market Prediction using Deep Learning Techniques for Short and Long Horizon -- Chapter 12. Improved CNN Model for Breast Cancer Classification -- Chapter 13. Performance Assessment of Normalization in CNN with Retinal Image Segmentation -- Chapter 14. A novel multi-day ahead index price forecast using multi-output based deep learning system -- Chapter 15. Automatic Retinal Vessel Segmentation using BTLBO. etc.
    Abstract: This book provides an insight into the 11th International Conference on Soft Computing for Problem Solving (SocProS 2022). This international conference is a joint technical collaboration of the Soft Computing Research Society and the Indian Institute of Technology Mandi. This book presents the latest achievements and innovations in the interdisciplinary areas of Soft Computing, Machine Learning, and Data Science. It brings together the researchers, engineers, and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and healthcare, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
    DOI: 10.1007/978-981-19-6525-8
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    Information Systems for Intelligent Systems : Proceedings of ISBM 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811974472
    Language: English
    Pages: 1 Online-Ressource(XIV, 669 p. 259 illus., 205 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 324
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    Keywords: Engineering—Data processing. ; Business information services. ; Artificial intelligence. ; Engineering
    Abstract: Social Media as Communication-Transformation Tools -- Bi directional DC-DC converter-based Energy Storage Method for Electric Vehicles -- Design of Smart Irrigation System in Sone Command Area Bihar for Paddy Crop -- A Footstep to Image Deconvolution Technique for the both Known and Unknown Blur Parameter -- Secured Monitoring of Unauthorized UAV by Surveillance Drone Using NS2.
    Abstract: This book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2022), held in Bangkok, Thailand, during September 2–3, 2022. 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: 10.1007/978-981-19-7447-2
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    Data Science and Emerging Technologies : Proceedings of DaSET 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819907410
    Language: English
    Pages: 1 Online-Ressource(XXII, 548 p. 233 illus., 171 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 165
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data. ; Internet of things. ; Computer vision.
    Abstract: Part I: Artificial Intelligence -- Extractive Text Summarization Using Syntactic Sub- Graph Models -- Analysis of Big Five Personality Factors to determine the Appropriate Type of Career using the C4.5 Algorithm -- Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention -- Dissemination Management for Official Statistics Using Artificial Intelligence-Based Media Monitoring -- Part II: Computational Vision -- A Naive but Effective Post-Processing Approach for Dark Channel Prior (DCP) -- COVID-19 Face Mask Classification Using Deep Learning -- Gender Classification Using Transfer Learning and Fine-Tuning -- Multi-Language Recognition Translator by Using the Convolutional Neural Network (CNN) Algorithm and Optical Character Recognition (OCR) -- Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques -- Part III: Cybersecurity -- Phishing Attack Types and Mitigation: A Survey -- A Review of Privacy Protection Methods for Smart Homes Against Wireless Snooping Attack -- Development of Graph-Based Knowledge on Ransom-Ware Attacks Using Twitter Data -- Part IV: Big Data Analytics -- BigMDHealth: Supporting Multidimensional Big Data Management and Analytics over Big Healthcare Data via Effective and Efficient Multidimensional Aggregate Queries over Key-Value Stores (Prof Alredo's paper) -- Design and Implementation of Data Warehouse Solution at Kumpulan Wang Persaraan (KWAP) -- Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics -- Big Data Application on Prediction of HDD Manufacturing Process Performance -- Visualising Economic Situation Through Malaysia Economic Recovery Dashboard (MERD) -- Part V: Machine/Deep Learning -- Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning -- Plant Growth Phase Classification Using Deep Neural Network -- The Implementation of Genetic Algorithm-Ensemble Learning on QSAR Study of Diacylglycerol Acyltransferase-1(DGAT1) Inhibitors as Anti-Diabetes -- Classification of Exercise Game Data for Rehabilitation Using Machine Learning Algorithms -- SDDLA: A New Architecture for Secured Decentralized Distributed Learning -- Gated Memory Unit: A Novel Recurrent Neural Network Architecture for Sequential Analysis -- Multi-Class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier -- Predicting Risks of Late Delivery to Online Shopping Customers Using Machine Learning Techniques -- Quora Insincere Questions Classification Using Attention Based Model -- Suicide Ideation Detection: A Comparative Study of Sequential and Transformer Hybrid Algorithms -- Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches -- Deep Learning-Based Approach for Classifying the Severity of Metal Corrosion Using SEM Images -- Insurance Risk Prediction Using Machine Learning -- Loan Default Forecasting Using StackNet -- Part VI: Statistical Learning -- Neural Network Autoregressive Model for Forecasting Malaysia Under-5 Mortality -- Robustness of Support Vector Regression and Random Forest Models: A Simulation Study -- The Impact of Restrictions Community Activities on COVID-19 Transmission: A Case Study in Sumatra Island, Indonesia -- Predicting Internet Usage for Digital Finance Services: Multitarget Classification Using Vector Generalized Additive Model with SMOTE-NC -- Part VII: Text Mining and Classification -- Identifying Topic Modeling Technique in Evaluating Textual Datasets -- Y-X-Y Encoding for Identifying Types of Sentence Similarity -- Evaluation of Extractive and Abstract Methods in Text Summarization.
    Abstract: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20–21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
    DOI: 10.1007/978-981-99-0741-0
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    Computer Vision and Machine Intelligence : Proceedings of CVMI 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811978678
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 777 p. 318 illus., 260 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 586
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    Keywords: Computational intelligence. ; Computer vision. ; Artificial intelligence.
    Abstract: Efficient Voluntary Contact-Tracing System & Network for COVID-19 Patients using Sound Waves and Predictive Analysis using K-Means -- Direct De Novo Molecule Generation using Probabilistic Diverse Variational Autoencoder -- Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.
    Abstract: This book presents selected research papers on current developments in the fields of computer vision and machine intelligence from International Conference on Computer Vision and Machine Intelligence (CVMI 2022). The book covers topics in image processing, artificial intelligence, machine learning, deep learning, computer vision, machine intelligence, etc. The book is useful for researchers, postgraduate and undergraduate students, and professionals working in this domain. .
    DOI: 10.1007/978-981-19-7867-8
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    Digital Ecosystem for Innovation in Agriculture (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819905775
    Language: English
    Pages: 1 Online-Ressource(XIX, 270 p. 113 illus., 99 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 121
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Agriculture. ; Big data.
    Abstract: A Brief Review of Tools to Promote Transdisciplinary Collaboration for Addressing Climate Change Challenges in Agriculture by Model Coupling -- Machine Learning and Deep Learning in Agriculture – A review -- Need of orchestration platform to unlock the potential of remote sensing data -- An Algorithmic Framework for fusing images from satellites, Unmanned Aerial Vehicles (UAV), and Farm Internet of Things (IoT) Sensors -- Globally Scalable and Locally Adaptable Satellite Solutions for Agriculture -- A Theoretical Framework of Agricultural Knowledge Management Process in the Indian Agriculture Context -- Simple and innovative methods to estimate gross primary production and transpiration of crops: a review -- Role of Virtual Plants in Digital Agriculture -- Remote sensing for mango and rubber mapping and characterisation for carbon stock estimation– Case study of Malihabad tahsil (UP) and West Tripura District, India -- Impact of Vegetation Indices on Wheat Yield Prediction using Spatio-Temporal Modeling -- Farm-wise estimation of crop water requirement of major crops using deep learning architecture -- Hyperspectral Remote Sensing for Agriculture Land Use and Land Cover Classification -- Computer Vision Approaches for Plant Phenotypic Parameter Determination.
    Abstract: This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.
    DOI: 10.1007/978-981-99-0577-5
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    Advances in Intelligent Information Hiding and Multimedia Signal Processing : Proceeding of the 18th IIH-MSP 2022 Kitakyushu, Japan, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819901050
    Language: English
    Pages: 1 Online-Ressource(XII, 437 p. 165 illus., 135 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 339
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Multimedia systems. ; Data protection.
    Abstract: Chapter 1. An Efficient Multilevel Threshold Image Segmentation Approach Based on Rafflesia Optimization Algorithm -- Chapter 2. Distributed Face Biometric with Blockchain Federated Learning -- Chapter 3. Region Guide Point for Depth Estimation -- Chapter 4. Research on PLC Communication Technology in Intelligent Loading Control System -- Chapter 5. Combined Synchronization for Fractional-order Chaotic Systems with Time Delay -- Chapter 6. A New Four-dimensional Discrete Chaotic System Is Used for S-box Masking -- Chapter 7. A Parallel Gannet Optimization Algorithm with Communication Strategies (PGOA) -- Chapter 8. Adaptive Target Tracking Algorithm Based on Template Updating and Graph-regularized Saliency -- Chapter 9. Fault Detection Method of Insulator Image based on Gabor Texture and Convolutional Neural Network -- Chapter 10. RGB-T Target Tracking based on Saliency with Graylevel Co-occurrence Matrix and KCF -- Chapter 11. An Optimal Power System Multi-objective Environmental Economic Planning Based on Moth-FLame Optimization -- Chapter 12. A Power-System Economic Dispatching Based on Enhanced Group Search Optimizer -- Chapter 13. Research Review on Security Protection Scheme of Distributed Photovoltaic Grid Connected Network -- Chapter 14. A Method of Constructing Fine-grained Pose Evaluation Model -- Chapter 15. Research on Meteorological Public Opinion Combining Domain Keywords and LinearSVC. etc.
    Abstract: The book presents selected papers from the 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, held on December 16–18, 2022, in Kitakyushu, Japan. It is divided into two volumes and discusses latest research outcomes in the field of Information Technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.
    DOI: 10.1007/978-981-99-0105-0
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    Smart Education and e-Learning—Smart University : Proceedings of the 10th International Conference on Smart Education and e-Learning (KES SEEL-2023) (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819929931
    Language: English
    Pages: 1 Online-Ressource(XV, 306 p. 88 illus., 72 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 355
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    Keywords: Teachers—Training of. ; Computational intelligence. ; Artificial intelligence. ; Teachers
    Abstract: Part 1: Smart Education -- Chapter 1: Smart Education: Students’ Perception of Hybrid Learning in Graduate Computing Curriculum -- Chapter 2: Gaining Insight into Adoption of Immersive Technologies in Higher Education -- Chapter 3: Innovative Methods for Smart Education: Hybrid Approach -- Chapter 4: Impact of Offline and Online Lecture Formats on Student Satisfaction with the University -- Chapter 5: Possibilities of Using Multimedia Technologies in the Learning Process for Children with Special Needs -- Part 2: Smart e-Learning -- Chapter 6: Online Ed.D. Program Development: A Program Level Perspective -- Chapter 7: Using CAI to Provide Early Literacy Instruction for All Learners -- Chapter 8: Online Doctoral Faculty Engagement: Building Connections Through Authenticity -- Chapter 9: Reliability Issues with At-Home Assessment During the COVID-19 Pandemic -- Chapter 10: Student Support in an Online Environment: Doctoral Student Feedback. etc.
    Abstract: This book contains the contributions presented at the 10th international KES conference on Smart Education and e-Learning (SEEL-2023) with the Smart University as the main conference theme. The conference is being held on June 14-16, 2023 in Rome, Italy in both in-person and online modes. The book contains high quality peer-reviewed papers that are grouped into several interconnected parts: Part 1 – Smart Education, Part 2 – Smart e-Learning, Part 3 – Smart University, Part 4 – Smart Education: Case Studies and Research, and Part 5 – Smart Company: Case Studies and Research. Smart education, smart e-learning, smart universities and smart companies are emerging and rapidly growing areas with the potential to transform the existing teaching strategies, learning environments, and educational/training activities and technology in academic institutions and training centers. Smart education/training and smart e-learning are focused on enabling instructors/trainers to develop innovative ways of achieving excellence in teaching in highly technological smart classrooms/labs, and providing students/learners with new opportunities to maximize their success and select the best options for their education/training, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners – all those who are interested in smart education, smart e-learning, smart university and smart business/company paradigms, concepts, systems and technology.
    DOI: 10.1007/978-981-99-2993-1
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    Smart Trends in Computing and Communications : Proceedings of SmartCom 2023, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819908387
    Language: English
    Pages: 1 Online-Ressource(XIV, 867 p. 385 illus., 289 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 650
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Wireless SDN : A Perspective for Handover Management -- Classification of Sentiment Analysis of Tweets On Twitter -- A Boosted Random Forest Algorithm for Automated Bug Classification -- Secure QR Code Transactions Using Mobile Banking App -- A Small-Scale Ontology to represent Knowledge about Question Items -- Deep Learning for classification of encrypted images -- A Clustering-based Approach to Feature Selection for Breast-Cancer Classification -- Knowledge Discovery and Visualization of UMLS based on Complex Network Analysis -- An Automatic Early Detection of Melanoma Skin Cancer Using Fuzzy C-Means -- Integrating Hybrid feature extraction techniques with Support Vector Machine for Efficient Facial emotion recognition -- Classification of ISL using Pose and Object Detection based Techniques -- Explainable Artificial Intelligence for Autonomous Surface Vessels by Fuzzy-Based Collision Avoidance System -- Gamification: Secret ingredient in enhancing flavor of Theory of Computation understanding -- Voice Controlled Home Automation System -- A Review of Depressive Disorder Detection Based on Sentiment Analysis -- Efficient bounding strategy for CEC 2020 winner algorithms in solving production planning problems.
    Abstract: This book gathers high-quality papers presented at the Seventh International Conference on Smart Trends in Computing and Communications (SmartCom 2022), organized by Global Knowledge Research Foundation (GR Foundation) from January 24–25, 2023, in Jaipur, 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: 10.1007/978-981-99-0838-7
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    Recent Trends in Intelligence Enabled Research : Selected Papers of Fourth Doctoral Symposium, DoSIER 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819914722
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 282 p. 129 illus., 102 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1446
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Big data.
    Abstract: Rules Extraction Methods from Neural Networks -- Quality Analysis of the Ganges River Water Utilizing Machine Learning Technologies -- Eye-Tracking Movements – A Comparative Study -- Cybersecurity Imminent Threats with Solutions in Higher Education -- A two-level fuzzy model for filtering signals of the automatic dependent surveillance-broadcast -- Towards More Robust Multiclass Aerial Solar Panel Detection and Classification -- PlantML: Some Aspects of Investigation on Deployment of Machine Learning Algorithm for Detection and Classification of Plants -- Big Data Analytics Based Recommendation System Using Ensemble Model -- Uncertainty Management in Brain Data for Olfactory Perceptual-Ability Assessment of Human Subjects by General Type-2 Fuzzy Reasoning -- Checkpoint based Round-robin Scheduling Technique towards Fault Tolerant Resource Management in Cloud Computing -- Cost Optimised Community-Based Influence Maximization -- A Novel Model for Automated Identification of Terrestrial Species -- Fish Detection from Underwater images using YOLO and its Challenges -- Design and Realization of an IoT Based System for Real-Time Monitoring Of Embryo Culture Conditions in IVF CO2 Incubators -- FPGA Implementations and Performance Analysis of Different routing Algorithms for the 2D-Mesh Network-on-Chip -- A Comparative Analysis of Non-Gradient Methods of Class Activation Mapping -- Deep Learning based Weight Initialization on Multi-layer Perceptron for Image Recognition -- Assessment of Air Quality as a Positive Impact of COVID-19 Lockdown with reference to an Industrial City and a Populated City of India -- Applications of Big Data in Various Fields: A Survey -- Performance Analysis of Healthcare Information in Big Data NoSql platform -- IoT Based Smart Internet Protocol Camera for Examination Monitoring -- Efficient Low Complexity Message Passing Algorithm for Massive MIMO Detection -- An Effective Community-Based Greedy Approach over Selected Communities for Influence Maximization.
    Abstract: This book gathers extended versions of papers presented at DoSIER 2022 (Fourth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during 22–23 December 2022). 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: 10.1007/978-981-99-1472-2
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  • 88
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    Advanced IoT Sensors, Networks and Systems : Select Proceedings of SPIN 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819913121
    Language: English
    Pages: 1 Online-Ressource(LXXXII, 269 p. 197 illus., 163 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1027
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Telecommunication.
    Abstract: Artificial intelligence, Machine Learning and Data Sciences -- Alzheimer’s Disease Classification using Ensemble methods -- Difference-Attribute Based Clustering for Ordinal Survey Data -- Machine Learning Algorithms for Binary Classification of Breast Cancer -- Applications, Issues and Deep Learning Analysis of Electronic Health Records -- Wireless Communication, WSN & Adhoc Networks -- Design of Frequency Beam Scanning Antenna Using SIW for mmwave Applications -- Preventing Data Leakage by Trojans in Commercial and ASIC Application using TDM and DES Encryption & Decryption -- Design of Helmet Mounted Dual Band Conformal Antenna for Military Applications -- Cloud Computing, 5G & loT -- Performance evaluation of Genetic Algorithm and Flower Pollination Algorithm for scheduling tasks in cloud computing -- Comparative Analysis of Load Balancing Algorithm in Cloud Computing -- Robotics and Embedded Systems -- Securely Importing of Back-up file into Cryptowallet -- Trajectory Optimization of a satellite -- Artificial Intelligence Aided Trajectory Planning for UAV -- Sensors & Sensor Technology -- 9T1R nvSRAM Cell with Improved Read Delay and Margin -- System Modelling of Martian Ascent Launch Vehicle.
    Abstract: This volume comprises selected peer-reviewed proceedings of the 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry.
    DOI: 10.1007/978-981-99-1312-1
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  • 89
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    Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819912032
    Language: English
    Pages: 1 Online-Ressource(XIV, 607 p. 264 illus., 211 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 660
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Blockchains (Databases). ; Internet of things.
    Abstract: NS3-based Performance Assessment of Routing Protocols AODV, OLSR and DSDV for VANETs -- A Novel Blockchain Based Smart Contract for Real estate Management -- A Review on VM Placement Scheme using Optimization Algorithms -- Use of Blockchain to Prevent Distributed Denial-of-service (DDoS) Attack: A Systematic Literature Review -- CS-based Energy-Efficient Service Allocation in Cloud.
    Abstract: This book is a collection of peer-reviewed best selected research papers presented at the Fourth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2023), organized by Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India, during 15–16 January 2023. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. .
    DOI: 10.1007/978-981-99-1203-2
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  • 90
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    Applied Nonlinear Analysis and Soft Computing : Proceedings of ANASC 2020 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811980541
    Language: English
    Pages: 1 Online-Ressource(XVI, 430 p. 146 illus., 128 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1437
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Evolution (Biology). ; Mathematical optimization.
    Abstract: Effect of light intensity on resonance patterns in CDIMA reaction -- Operations on uncertain numbers and its application in multi-criteria group decision making problems -- An improved picture fuzzy similarity measure with its application in pattern recognition and COVID-19 -- A fuzzy inventory model for deteriorating items with time dependent demand under permissible delay in payment -- A delayed predator-prey fishery model with reserve area in presence of toxicity -- Location number of edges and vertices of two-fold hepta-pentagonal circular ladder -- A full probabilistic solution for a hybrid randomized linear-quadratic logistic-type model -- Modelling spotify users by a hybrid generalized logistic model with uncertainty: A random computational approach -- Vacuum solutions in Bianchi Type I universe in f(R) theory of gravity -- Shock, solitary and periodic wave solutions of the ion acoustic waves for nonextensive dusty plasma in the framework of Korteweg-de Vries-Burgers equation with forcing and damping terms -- A probabilistic fitting technique to calibrate a logistic model to study the growth of breast tumours -- Solving random differential equations by R.V.T. technique and Lagrange-Bürmann theorem via densities: Implementation and simulation -- Soret and dufour effects on MHD flow past a uniformly moving plate with uniform heat flux -- Bianchi type III cosmological model with quadratic equation of state in f(R, T) theory of gravity -- Thermal diffusion effect in MHD natural convective dissipative flow past a porous plate embedded in a porous medium -- Bounds for VL status index and coindex of graphs and validate to few specific graphs -- A note on degree based energies of m-splitting and m-shadow graphs -- Free group presentation of triangular planar shapes and their Betti numbers: computer engineering perspective.
    Abstract: The volume contains original research papers as the Proceedings of the International Conference on Applied Nonlinear Analysis and Soft Computing (ANASC 2020), held at Gauhati University, Guwahati, India, on 22-23 December, 2020. It focuses on current research topics in applied analysis including nonlinearity, soft computing and related areas. It primarily includes topics related to pattern recognition, reaction-diffusion problem, decision making problems, inventory model, predator-prey model, logistic models, wave problems, problems in Magnetohydrodynamics, cosmological model, harmonic functions, graphs, shapes, etc. Researchers, educators, scientist and professionals interested in recent developments in applied analysis including nonlinearity aspects and soft computing should be benefited from this volume.
    DOI: 10.1007/978-981-19-8054-1
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  • 91
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    Intelligent Computing and Networking : Proceedings of IC-ICN 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819931774
    Language: English
    Pages: 1 Online-Ressource(XIX, 562 p. 230 illus., 190 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 699
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Analysis of Healthcare System using Classification Algorithms -- Dollar Price Prediction using ARIMA -- An Exploratory Study On The Impact Of Digital Marketing And Innovations On E-Commerce Mechanism -- Apple Stock Price Prediction Using Regression Techniques -- Water Quality Assessment Through Predictive Machine Learning -- Comprehensive Review of Lie Detection in Subject based Deceit Identification -- Medical Image Processing and Machine Learning: A Study -- Security and privacy policy of mobile device application management system -- IoT based smart medical data security system -- Investigating the Impact of Distance on the Reception in Molecular Communication.
    Abstract: This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2023), organized by the Computer Engineering Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 24–25, 2023. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics and blockchain technology.
    DOI: 10.1007/978-981-99-3177-4
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  • 92
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    Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering : TCCE 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811994838
    Language: English
    Pages: 1 Online-Ressource(XXII, 539 p. 255 illus., 205 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 618
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer vision. ; Internet of things.
    Abstract: Early Prediction and Analysis of DTI and MRI-based Alzheimer's Disease through Machine Learning Techniques -- Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images -- Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features -- Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification.
    Abstract: This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry. It is a collection of selected conference papers presented at the 4th International Conference on Trends in Cognitive Computation Engineering (TCCE 2022), hosted by Mawlana Bhashani Science and Technology University, Tangail, Bangladesh, during December 17–18, 2022. It shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.
    DOI: 10.1007/978-981-19-9483-8
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  • 93
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    Agents and Multi-agent Systems: Technologies and Applications 2023 : Proceedings of 17th KES International Conference, KES-AMSTA 2023, June 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819930685
    Language: English
    Pages: 1 Online-Ressource(XVI, 424 p. 101 illus., 84 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 354
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Expert systems (Computer science). ; Data mining. ; Artificial intelligence.
    Abstract: This book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 17th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2023), held in Rome, Italy, in June 14–16, 2023. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature-inspired manufacturing, all of which contribute to the modern digital economy.
    DOI: 10.1007/978-981-99-3068-5
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    Innovation in Medicine and Healthcare : Proceedings of 11th KES-InMed 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819933112
    Language: English
    Pages: 1 Online-Ressource(XVI, 396 p. 143 illus., 106 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 357
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Medical informatics. ; Artificial intelligence.
    Abstract: Designing deep learning architectures with neuroevolution. Study case: fetal morphology scan -- Optimized Deployment Planning for Elderly Welfare Facilities Based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly -- Online Parent Counselling in Speech and Language Therapy - the View of the Professionals -- Modelling Competing Risk for Stroke Survival Data -- Artificial Intelligence Chatbots and Conversational Agents - an Overview of Clinical Studies in Health Care -- Challenges and Solutions for Artificial Intelligence Adoption in Healthcare – A Literature Review -- An Explainable Deep Network Framework with Case-based Reasoning Strategies for Survival Analysis in Oncology -- Healthcare under Society 5.0: A Systematic Literature Review of Applications and Case Studies -- Strategic Risk Management for Low-Code Development Platforms with Enterprise Architecture Approach: Case of Global Pharmaceutical Enterprise -- Optimized Deployment Planning for Elderly Welfare Facilities based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly -- Characterizing Groups of Patients with Depression using Clustering Techniques.
    Abstract: This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-23), held in Rome, Italy, on June 14–16, 2023. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.
    DOI: 10.1007/978-981-99-3311-2
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    Machine Intelligence Techniques for Data Analysis and Signal Processing : Proceedings of the 4th International Conference MISP 2022, Volume 1 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819900855
    Language: English
    Pages: 1 Online-Ressource(XIV, 901 p. 473 illus., 366 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 997
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Application software.
    Abstract: On Diverse and Serendipitous item Recommendation: A Reinforced Similarity and Multi-Objective Optimization based Composite Recommendation Framework -- Comparative Analysis of Node Dependent and Node Independent Graph Matrices for Brain Connectivity -- Facial Expression Recognition from low resolution facial segments using Pre-trained networks -- Design and Analysis of Quad Element UWB MIMO Antenna with Mutual Coupling Reduction Techniques -- Enhancing Agriculture Outcome with Multiple Crop Recommendations Using Sequential Forword Feature Selection -- Kernel Level Pruning for CNN.
    Abstract: This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, and videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves a valuable resource for those in academia and industry.
    DOI: 10.1007/978-981-99-0085-5
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    Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819914821
    Language: English
    Pages: 1 Online-Ressource(XIII, 252 p. 128 illus., 105 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1098
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Cloud Computing. ; Wireless communication systems. ; Mobile communication systems.
    Abstract: Detection of Brain Abnormalities from Spontaneous Electroencephalography using Spiking Neural Network -- QoS the enhanced energy Aware task Scheduling Models in cloud computing -- Clinical decision support system for diagnosis and treatment of COPD using ensemble methods -- Test Scenarios Generation and Optimization of Object-oriented Models using Meta-heuristic Algorithms -- Loss Allocation Techniques in Active Power Distribution Systems.
    Abstract: This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at second PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.
    DOI: 10.1007/978-981-99-1482-1
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    Emerging Trends in Expert Applications and Security : Proceedings of 2nd ICETEAS 2023, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819919468
    Language: English
    Pages: 1 Online-Ressource(XX, 520 p. 295 illus., 204 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 682
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Data protection. ; Artificial intelligence.
    Abstract: Chapter 1. Deep learning based approach in automatic microscopic bacterial image classification -- Chapter 2. Deep learning based Recognition and Classification of Different Network -- Chapter 3. Lipid Concentration Effects on Blood Flow through Stenosed Tube -- Chapter 4. Single-Phase Bidirectional AC_DC Converters for Fast DC-Bus Voltage Controller -- Chapter 5. Padam Persona - Personalizing Text to Image using Artificial Intelligence -- Chapter 6. AUTODUBS_ Translating And Dubbing Videos -- Chapter 7. Deep neural based learning of EEG features using spatial, temporal and spectral dimensions across different cognitive workload of human brain_ dimensions, methodologies, research challenges and future scope -- Chapter 8. A Framework for Classification of Nematodes species using Deep learning -- Chapter 9. CAD Model for Biomedical Image Processing for Digital Assistance -- Chapter 10. Natural Language Processing Workload Optimization using Container based Deployment -- Chapter 11. NDVI Indicator based Land use _Land Cover Change analysis us-ing Machine Learning and Geospatial Techniques at Rupnarayan River basin, West Bengal, India -- Chapter 12. Prediction of Anemia using Naïve – Bayes Classification Algorithm in Machine Learning -- Chapter 13. An Methodology for the Energy Aware Clustering and Aggregate Node Rotation with Sink Relocation in MANET -- Chapter 14. Differential Evolution Algorithm Based Optimization of Networked Micro grids -- Chapter 15. OBD II-based performance analysis based on fuel usage of vehicles. etc.
    Abstract: The book covers current developments in the field of computer system security using cryptographic algorithms and other security schemes for system as well as cloud. The proceedings compile the selected research papers presented at ICE-TEAS 2023 Conference held at Jaipur Engineering College and Research Centre, Jaipur, India, during February 17–19, 2023. The book focuses on expert applications and artificial intelligence; information and application security; advanced computing; multimedia applications in forensics, security, and intelligence; and advances in web technologies: implementation and security issues.
    DOI: 10.1007/978-981-99-1946-8
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    Novel Developments in Futuristic AI-based Technologies (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819930760
    Language: English
    Pages: 1 Online-Ressource(XVII, 264 p. 118 illus., 95 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Image processing—Digital techniques. ; Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Computer vision. ; Image processing
    Abstract: Fuzzy Risk Analysis Assessment Applied to Value Stream Mapping -- The Financial Portfolio Selection using the Multiple Criteria Hierarchical Process and the Markowitz Model -- Forecasting the Exchange Rate in Diffuse Time Series by Hybridization of the OWA Operator in an Adaptive ARANFIS Neuronal Network -- Parallelizing RP2-NGSA-II for the Multicriteria Ranking Problem of Sets of Medium-sized Alternatives Through OpenMP -- Study of Some Properties and Behavior of the Group of Signed Quadratic Residues and Its Applications to Cryptography -- A Bibliometric Analysis of Problem Structuring Between 1980 and 2019 -- An Improved Approach in Cloud-Assisted IoT Infrastructure with Anonymous Key Issuing -- Internet of Things based Digital Life to Provide Assisted Living for Visually Challenged Persons -- Impact of Information and Communication Technology on Tourist Spending -- Smartphone Retail-purchase Buying Intentions: Investigation of Planned Behaviour in Indian Context -- Simulation with a Lean approach in Industry 5.0.
    Abstract: The book offers many ideas based on the artificial intelligence techniques, fueled by digital technologies that can be implemented in human lives to make them smarter and more intelligent to survive in this rapidly changing world. This book contains diverse applications based on intelligence systems, such as in the development of innovative digital technologies based on cloud-based infrastructure, agriculture supply-chain management, technology that enables the visually impaired to live more comfortably and confidently in their daily lives. It contains new techniques of encryption and decryption, development of various decision-making systems, artificial intelligence techniques in medical areas, etc. This book addresses newly developed technologies and key ideas for new theory which can be used in the development of more advanced and intelligent world for better future.
    DOI: 10.1007/978-981-99-3076-0
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  • 99
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    Soft Computing and Signal Processing : Proceedings of 5th ICSCSP 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811986697
    Language: English
    Pages: 1 Online-Ressource(XVIII, 677 p. 401 illus., 323 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 313
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Cooperating objects (Computer systems). ; Internet of things.
    Abstract: Chapter 1. Microservice Architecture Observability Tool Analysis -- Chapter 2. Decentralized payment architecture for e-commerce and utility transactions with Government verified identities -- Chapter 3. Detection of Phishing Website using Intelligent Machine Learning Classifiers -- Chapter 4. Bidirectional Gated Recurrent Unit (BiGRU) based Bitcoin Price Prediction by News Sentiment Analysis -- Chapter 5. How AI Algorithms are being used in Applications -- Chapter 6. A Framework for Identifying Theft Detection using Multiple-instance Learning -- Chapter 7. An Efficient Reversible Data Hiding Based on Prediction Error Expansion -- Chapter 8. Deriving Insights from COVID-19 -- Chapter 9. Smoke Detection in Forest Using Deep Learning -- Chapter 10. Pneumothorax Segmentation using Feature Pyramid Network and MobileNet Encoder through Radiography Images -- Chapter 11. Visual Learning with Dynamic Recall -- Chapter 12. Machine learning for drug discovery using ag-glomerative hierarchical clustering -- Chapter 13. Automated Photomontage Generation with Neural Style Transfer -- Chapter 14. Machine Learning Model Development Using Computational Neurology -- Chapter 15. Graph Theory based user profile extraction and community detection in Linkedin- A study. etc.
    Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Fifth International Conference on Soft Computing and Signal Processing (ICSCSP 2022). 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: 10.1007/978-981-19-8669-7
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    Proceedings of International Conference on Computational Intelligence : ICCI 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819928545
    Language: English
    Pages: 1 Online-Ressource(XII, 408 p. 148 illus., 114 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Big data. ; Computer networks .
    Abstract: Entropy measure for the linguistic intuitionistic fuzzy set -- Principal component analysis and correlation coefficient-based decision-making approach for stock portfolio selection -- Determination of Thickness and Refractive Indices of Thin-Films from Reflectivity Spectrum using Rao-1 Optimization Algorithm -- Deep Sea Debris Detection using YOLOIncep Network -- Precipitation Forecasting: LSTM Modelling in Visual Analytic Frame work -- Cyclone Forecasting Before Eye Formation Using Deep-Learning -- Efficient Approach for Malware Detection Using Machine Learning Classifier -- Distances from Fuzzy Implications -- Real Time quick Fog removal Technique for supporting vehicles on hilly routes amid dense fog -- Deep learning based approach for outlier detection in wireless sensor network -- Predicting Kidney Tumor Using Convolutional Neural Network (CNN) -- Comparative Analysis of Cognitive Services in popular cloud platforms -- A Survey on Efficient Neural Network Compression Techniques -- Implementation of Reliable Post-Disaster Relief -- Communication Network Using Hybrid Secure Routing Protocol -- Compact Metamaterial Octagonal Antenna for Wireless Body Area Network -- A survey on different techniques for Anomaly detection -- A Scholastic Comprehensive study on 6G Wireless Communication System -- A Modified LSB Steganography Algorithm to Store Images of Large Size.
    Abstract: The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 – 30 December, 2022. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
    DOI: 10.1007/978-981-99-2854-5
    URL: lizenzpflichtig
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