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  • BSZ  (1,405)
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  • 2020-2024  (1,405)
  • 2010-2014
  • Computational intelligence.  (1,405)
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  • English  (1,405)
  • Italian
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  • 2020-2024  (1,405)
  • 2010-2014
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  • 1
    Online Resource
    Online Resource
    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578403
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 452 p. 270 illus., 228 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 199
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Game Theory-Based Efficient Message Forwarding Scheme for Opportunistic Networks -- Improved UCB MAB-Based Algorithm for Relay Selection in Cooperative Narrowband PLC Communication -- Mutual-Visibility in Fibonacci Cubes -- Evaluation of the Trust Zone Model with the Information Flow Control -- PRVC: A Novel Vehicular Ad-hoc Network Caching based on Pre-trained Reinforcement Learning -- ElasticWISP-NG: Towards Dynamic Resource Provisioning for WISP Access Networks -- BBR-R: Improving BBR's RTT Fairness by Dynamically Adjusting Delay Detection Intervals -- Reducing Signaling Overhead in 5G Mobile Network for IoT Device Mobility -- On Network Design and Planning 2.0 for Optical-computing-enabled Networks -- DEAR: DRL Empowered Actor-critic ScheduleR for Multipath QUIC Under 5G/B5G hybrid networks -- Integrated Vehicle Access Protocol with Priority-Based Messaging for VANETs -- Adaptive Cost-Reward Scheduling for Optimizing Radio Utilization and Frequency Numerology Efficiency in B5G New Radio Networking -- Speed Control for Autonomous Vehicular Platoon -- A Comparison Study of a Fuzzy-based Simulation System and Testbed for Selection of Radio Access Technologies in 5G Wireless Networks -- A Distributed Approach for Autonomous Landmine Detection Using Multi-UAVs.
    Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57840-3
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  • 2
    Online Resource
    Online Resource
    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing : Volume 17 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563881
    Language: English
    Pages: 1 Online-Ressource(Approx. 215 p.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1153
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: Develop a System to Analyze Logs of a Given System Using Machine Learning -- Study on Locality, Fairness, and Optimal Resource Allocation in Cluster Scheduling -- Digital word-of-mouth and purchase intention. An empirical study in millennial female and consumers -- Alignment of Business Process and Information System Models through Explicit Traceability -- An Assessment of Fintech for Open Banking: Data Security and Privacy Strategies from the Perspective of Fintech Users.
    Abstract: This book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. This edited book presents original papers on both theory and practice. It addresses foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-56388-1
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  • 3
    Online Resource
    Online Resource
    Syntactic Networks—Kernel Memory Approach (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031573125
    Language: English
    Pages: 1 Online-Ressource(XV, 129 p. 31 illus.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1157
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence.
    Abstract: Review of the Two Existing Artificial Neural Network Models – Multilayer Perceptron and Probabilistic Neural Networks -- Beyond the Original PNN Model – Kernel Memory for Modeling Various Neural Pattern Processing Mechanism -- Modules within the Artificial Mind System and Their Interactions Relevant to Language Pattern Processing -- Concept Formation.
    Abstract: This book proposes a novel connectionist approach to a challenging topic of language modeling within the context of kernel memory and artificial mind system, both proposed previously by the author in the very first volume of the series, Artificial Mind System—Kernel Memory Approach: Studies in Computational Intelligence, Vol. 1. The present volume focuses on how syntactic structures of language are modeled in terms of the respective composite connectionist architectures, each embracing both the nonsymbolic and symbolic parts. These two parts are developed via inter-module processes within the artificial mind system and eventually integrated under a unified framework of kernel memory. The data representation by the networks embodied within the kernel memory principle is essentially local, unlike conventional artificial neural network models such as the pervasive multilayer perceptron-based neural networks. With this locality principle, kernel memory inherently bears many attractive features, such as topologically unconstrained network formation, straightforward network growing, shrinking, and reconfiguration, no requirement of arduous iterative parameter tuning, construction of transparent and hierarchical data structures, and multimodal and temporal data processing via the network representation. Exploiting these multifacet properties of kernel memory with interweaving the notion of inter-module processing within the artificial mind system provides coherent accounts for concept formation and how various linguistic phenomena, viz. word compoundings, morphologies, and multiword constructions, are modeled. The description is then extended to more intricate network models of context-dependent lexical network and syntactic-oriented processing, the latter being the central theme of the present study, and further to those representing a hybrid of nonverbal and verbal thinking, and semantic and pragmatic aspects of sentential meaning. The book is intended for general readers engaging in various areas of study in cognitive science, computer science, engineering, linguistics, philosophy, psycholinguistics, and psychology.
    DOI: 10.1007/978-3-031-57312-5
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    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819713233
    Language: English
    Pages: 1 Online-Ressource(X, 490 p. 150 illus., 80 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 946
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Chapter 1: YOLOv8: Advancements and Innovations in Object Detection -- Chapter 2: Anxiety, Depression Red Flag Marker in Social Media -- Chapter 3: Object Detection and Tracking Approach for Traffic Monitoring -- Chapter 4: Detection of malnutrition in children using Deep Learning model -- Chapter 5: Multilingual Indian Covid-19 Chatbot -- Chapter 6: Blockchain, IoT and Smart Grids Challenges for Energy Systems -- Chapter 7: IAM Dataset-Based Author Identification via Convolutional Neural Networks -- Chapter 8: Design of low power Booth multiplier with enhance pre-logic mechanism using Verilog -- Chapter 9: Novel Statistical Glaucoma Prediction Algorithm based on Spectral Analysis -- Chapter 10: A Comparative Study of Audio Source Separation Techniques on Indian Classical Music: Performance Evaluation and Analysis. etc.
    Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
    DOI: 10.1007/978-981-97-1323-3
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  • 5
    Online Resource
    Online Resource
    New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031556845
    Language: English
    Pages: 1 Online-Ressource(XII, 434 p. 153 illus., 114 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1149
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms are envisioned. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy systems, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also a group papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.
    DOI: 10.1007/978-3-031-55684-5
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  • 6
    Online Resource
    Online Resource
    Proceedings of Data Analytics and Management : ICDAM 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819965441
    Language: English
    Pages: 1 Online-Ressource(XXVI, 695 p. 284 illus., 221 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 785
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Quantitative research. ; Data protection.
    Abstract: Chapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem -- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN -- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script) -- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis -- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R -- Chapter 6: Alzheimer’s Disease Knowledge Graph Based on Ontology and Neo4j Graph Database -- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches -- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers -- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions -- Chapter 10: Renal Disease Classification using Image Processing. etc.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.
    DOI: 10.1007/978-981-99-6544-1
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  • 7
    Online Resource
    Online Resource
    Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough : Volume 4 (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031430091
    Language: English
    Pages: 1 Online-Ressource(VII, 342 p. 244 illus., 171 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1117
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: Effect of Social Networking Advertisements (SNAs) On Attitudes and Purchase Intention towards Brand Products -- Design of Optimal Waste Management System using IOT and Machine Learning Technique in Educational institutions -- An enhanced Woelfel Image Noise Filter -- PAPR and SER Performance Analysis of OFDMA and SCFDMA -- VLSI Implementation of an 8051 Microcontroller using VHDL and Re- corrective Measure using AI -- A survey of Internet of Things frameworks for crowd management system.
    Abstract: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
    DOI: 10.1007/978-3-031-43009-1
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  • 8
    Online Resource
    Online Resource
    Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031602153
    Language: English
    Pages: 1 Online-Ressource(XXI, 228 p. 73 illus., 66 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 985
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering ; Application software.
    Abstract: An Overview on the Use of Machine Learning Algorithms for Identifying Anomalies in Industrial Valves -- Framework for Real-time Predictive Maintenance supported by Big Data Technologies -- Emotional evaluation on open-ended responses with transformer models -- Big data analytics in the supply chain: a bibliometric review of scholarly research from 2012 to 2023 -- Human-machine interface based on electromyographic (EMG) signals aimed at limb rehabilitation for diabetic patients -- Incidence assessment of diabetes by delegation in the United Mexican States applying the multilayer perceptron neural network -- Exploiting Physarum-inspired Vacant Particle Transport Model to Redesign an Enterprise Network -- SIMULATION OF AUTONOMOUS DRIVING SYSTEMS FOR THE CITY OF MACAS USING MATLAB DRIVING SCENARIO DESIGN APP.
    Abstract: This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.
    DOI: 10.1007/978-3-031-60215-3
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  • 9
    Online Resource
    Online Resource
    Advances in Haptics and Virtual Reality : Proceedings of 2023 International Conference on Haptics and Virtual Reality (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031565212
    Language: English
    Pages: 1 Online-Ressource(VI, 201 p. 101 illus., 90 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Learning and Analytics in Intelligent Systems 37
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Engineering mathematics.
    Abstract: This book collects selected papers from the 2023 International Conference on Haptics and Virtual Reality (ICHVR 2023), held during December 15–17, 2023. ICHVR 2023 is organized by Southeast University (SEU), Shanghai Jiao Tong University (SJTU) and co-organized by the International Association of Electrical, Electronic and Energy Engineering (IAEEEE). This book gathers together latest findings and insightful ideas from innovative academics and experts in the field of Haptics, Virtual Reality, Human–Computer Interaction, Computer Vision, Computer Arts, Mobile Intelligent Device and Artificial Intelligent Algorithm. This book serves as a valuable resource for staying up-to-date with the state of the art in Haptics and Virtual Reality and serves as a catalyst for further advancements and innovation in these fields, which will provide unique perspectives for readers consisting of professionals, scientists, practitioners, researchers, and graduate students.
    DOI: 10.1007/978-3-031-56521-2
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  • 10
    Online Resource
    Online Resource
    Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications—Volume 3 : CIPA 2023, November 2–3, Changzhou, China (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819719839
    Language: English
    Pages: 1 Online-Ressource(XI, 622 p. 188 illus., 139 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 198
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Pattern recognition systems. ; Neural networks (Computer science).
    Abstract: Design of Internet of Things Online Course Platform for Electronic Application Engineering -- Evaluation of Efficient, Energy-saving, and Environmentally Friendly Transcritical CO2 Heat Pump -- Technology Based on Deep Learning Algorithms -- Application of BP Neural Network and Artificial Intelligence Algorithm in Pharmaceutical Production -- Dynamic Panorama Virtual System Display Platform for Digital Museum Exhibition -- Adaptive Scaling Algorithm of Sports Video Image Based on Collaborative Filtering -- Construction of Financial Information Management System under Computer Network Environment -- Research on the Prediction Mechanism of Fuel Quantity of Gas Turbine Power Plant Based on Stochastic Forest Algorithm -- Extraction Algorithm of Film and Television Special Effects Based on Artificial Intelligence Technology -- Design of Urban Emergency Material Allocation Supply Chain System Based on Multimodal Information Technology -- Research on Intelligent Control of Tube Bender -- Cigarette Factory Design System Based on System Integration under BIM and Industrial Monitoring -- Urban Landscape Design Optimization System Based on Improved Particle Swarm Optimization Algorithm -- Construction of Urban Landscape Planning and Design System Based on DEM Morphological Evaluation Algorithm -- Automatic Scoring Algorithm for Sort Selection Structure in C Language Programming -- Visual Analysis of Social Practice Research of College Students Based on CiteSpace -- Design and Chemical Platform System Based on Association Rule Algorithm.
    Abstract: This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 3 for this conference proceedings, which consists of a 3-volume book series. .
    DOI: 10.1007/978-981-97-1983-9
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  • 11
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    Online Resource
    Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering : The Second Serbian International Conference on Applied Artificial Intelligence (SICAAI) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031608407
    Language: English
    Pages: 1 Online-Ressource(VII, 250 p. 90 illus., 74 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 999
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: The book Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering is providing exceptional chapters of the state-of-the-art research knowledge and results on the innovative theories, methodology and applications of artificial intelligence and its sub-domain like deep learning, machine learning in different areas such as medicine, economy, education, law, smart city, government, industry etc. Innovative research ideas on how to solve problems using artificial intelligence, both in R&D and real-time applications are presented. Chapters describe the advanced prototypes, systems, methodologies, tools and techniques and general survey papers, which indicate future directions. These Chapters are extended papers from the Second Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19-20, 2023.
    DOI: 10.1007/978-3-031-60840-7
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  • 12
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    Online Resource
    Data Science and Security : Proceedings of IDSCS 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819709755
    Language: English
    Pages: 1 Online-Ressource(XI, 579 p. 232 illus., 196 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 922
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence ; Data protection. ; Computer networks
    Abstract: This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2023), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, from 02–04 November, 2023. The proceeding targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.
    DOI: 10.1007/978-981-97-0975-5
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  • 13
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    Genetic and Evolutionary Computing : Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume I), October 6–8, 2023, Kaohsiung, Taiwan (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819700684
    Language: English
    Pages: 1 Online-Ressource(XV, 559 p. 203 illus., 163 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1145
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Mathematical optimization. ; Computational complexity.
    Abstract: This first book of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6–8, 2023, in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers know the up-to-date techniques of the mentioned topics, including swarm intelligence and its applications, operational technologies and networked multimedia applications, wearable computing and intelligent data hiding, image processing and intelligent applications, and intelligent multimedia tools and applications. It helps readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
    DOI: 10.1007/978-981-97-0068-4
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  • 14
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    Data Science and Communication : Proceedings of ICTDsC 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819954353
    Language: English
    Pages: 1 Online-Ressource(XIV, 829 p. 480 illus., 330 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Autonomic, Data-driven and Industrial Computing
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence ; Internet of things.
    Abstract: Compensation Effect in the Collisional Turbulent Plasma -- Role of pre-processing in gene selection using DNA microarray gene expression data -- Determination of Suitable Frequency for Underground Electromagnetic wave propagation -- A Comparative Study on Speech Emotion Recognition using Machine Learning -- Early Prediction of Urban Flood Using ML and IoT -- Development of Low power and Area Efficient Multi-Core Memory Controller Using AXI4-Lite Interface Protocol -- Improved Analog Costas Loop with Fuzzy Logic Controller -- Authentication Framework for an IoT Ecosystem -- Design and Analysis of 28 GHz Microstrip Patch Antenna for 5G Network -- Upper bounds of worldwide infected cases due to COVID-19 from the perspective of bitopology -- Prediction Model for Precision Agriculture using Machine Learning -- Analysis and Implementation of Resonative Tuning Fork Sensor in Ash Hopper for Economical Ash Air Compressor Operation with Integrated IoT System -- Challenges and Approaches in Arabic Sentiment Analysis: A Review -- Performance Based Comparative Analysis Of Naive Bayes Variations For Text Classification -- Coreference Resolution in the Assamese Language: A Pioneering Attempt -- Application for Simulating OWASP Vulnerabilities -- A Comparative Study of Disease Detection in Potato Plants Using Machine Learning and Deep Learning Method -- An Enhancement in Accuracy for Breast Cancer Prediction Using Machine Learning And Deep Learning Model -- Fractal Features For Texture Analysıs.
    Abstract: The book presents selected papers from the International Conference on Data Science and Communication (ICTDsC 2023) organized by the Department of Electronics and Communication Engineering and Department of Engineering Science and Humanities (DESH) Siliguri Institute of Technology, India during 23 – 24 March 2023 in Siliguri, India. The book covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cyber security and forensic, network and mobile security, advanced computing, cloud computing, quantum computing, electronics system, Internet of Things, robotics and automations, blockchain and software technology, and digital technologies for future.
    DOI: 10.1007/978-981-99-5435-3
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  • 15
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    Statistics and Data Analysis for Engineers and Scientists (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819946617
    Language: English
    Pages: 1 Online-Ressource(IX, 180 p. 259 illus., 230 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Transactions on Computer Systems and Networks
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Quantitative research. ; Mathematical statistics ; Engineering
    Abstract: General Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.
    Abstract: This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world. .
    DOI: 10.1007/978-981-99-4661-7
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  • 16
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    Frontiers in Genetics Algorithm Theory and Applications (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819981076
    Language: English
    Pages: 1 Online-Ressource(XIV, 287 p. 90 illus., 48 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Springer Tracts in Nature-Inspired Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Algorithms. ; Mathematical optimization. ; Building information modeling.
    Abstract: Evolutionary Computation: Perspectives on Past and Future -- Genetic Algorithms: A Technical Implementation of Natural Evolution -- Mating In Genetic Algorithm With Application In System Identification -- A Hybrid Biased Random-Key Genetic Algorithm for the Container Relocation Problem -- Genetic Algorithm and Its Applications in Power Systems.
    Abstract: This book reviews recent advances in theory and applications of genetic algorithm (GA). The book is composed of five parts; Part 1 of the book involves the chapters about the advances in GA theory. Part 2 concerns applications in health, society, and economy. Part 3 has an inclusive focus on application in power systems, and Part 4 concerns the applications of GA in electrical vehicle industries. Finally, Part 5 includes applications in signal and image processing.
    DOI: 10.1007/978-981-99-8107-6
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  • 17
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    Advances in Intelligent System and Smart Technologies : Proceedings of I2ST’23 (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031476723
    Language: English
    Pages: 1 Online-Ressource(XXII, 410 p. 195 illus., 164 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 826
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book is a collection of high-quality peer-reviewed research papers presented at The International Conference on Intelligent Systems and Smart Technologies (I2ST’23) held at the Faculty of Science and Technology of Hassan First University, Morocco, on January 17–18, 2023. I2ST'23 is a forum for presenting new advances and research results in the fields of information, communication, and smart technologies. The book discusses significant issues relating to machine learning, smart technologies, and data analytics. The main and distinctive topics covered are: I) AI& Intelligent, II) Systems Smart Technologies, III) Communications and Networking, IV) Software Engineering & Web Applications, V) Information Technology, and VI) Software Engineering & Web Applications.
    DOI: 10.1007/978-3-031-47672-3
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  • 18
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    International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023) : Advanced Intelligent Systems on Energy, Environment and Agriculture, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031542886
    Language: English
    Pages: 1 Online-Ressource(X, 295 p. 153 illus., 25 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 931
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Economic development. ; Environmental sciences ; Agriculture.
    Abstract: This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference. Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape. Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development. Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings‘ caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains.
    DOI: 10.1007/978-3-031-54288-6
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  • 19
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    Information Technology and Systems : ICITS 2024, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031542565
    Language: English
    Pages: 1 Online-Ressource(XII, 481 p. 146 illus., 116 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 933
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Application software.
    Abstract: Efficiency Evaluation of Mobile Vision Transformers -- Online shopping experience: The case of Zara -- Virtual reality as a tool for the reconstruction and dissemination of Cuenca's cultural heritage: cases of the "Puente Roto" bridge and the "Cornelio Merchán" building -- Lextutor program as a tool to teach ESL vocabulary -- Study on Stereo AI Based Zed-2i Camera -- Systematic review of motion sensors and their energy efficiency -- Technical and business risk management in software startups -- The Impact of Insufficient Organisational Change Management on Enterprise Resource Planning Benefits: A South African Case Study -- Infrastructure overlays and digital chimeras: keys for reading information infrastructures -- Handover Analysis of Mobile Cellular Network in a Populated City -- The Development of an Architecture using Traditional and Modern Recursive Neural Networks and Natural Language Processing to Increase the Accuracy of Response on Client Doubts Related to Public Services -- A Systematic Mapping Study on the Use and Development of Research Software.
    Abstract: This book is composed by the papers written in English and accepted for presentation and discussion at The 2024 International Conference on Information Technology & Systems (ICITS'24), held at Universidad de La Frontera, in Temuco, Chile, between the 24th and the 26th of January 2024. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences, and challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered are information and knowledge management; organizational models and information systems; software and systems modeling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication. The primary markets of this book are postgraduates and researchers in Information Systems and Technologies domains. The secondary markets are undergraduates and professionals as well in Information Systems and Technologies domains.
    DOI: 10.1007/978-3-031-54256-5
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  • 20
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    Bidirectional Comparison of Nominal Sets : Asymmetry of Proximity (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031530968
    Language: English
    Pages: 1 Online-Ressource(XVII, 206 p. 51 illus., 18 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1140
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Engineering mathematics.
    Abstract: Introduction and main assumptions -- Issues of asymmetry of data proximity -- Matching between ordinary sets -- Matching between sets with binary coding -- Matching between multisets -- Matching between fuzzy sets -- Matching between intuitionistic fuzzy sets -- Summary and perspectives.
    Abstract: The authors propose a novel measure of proximity between two sets of nominal elements. This measure describes the changes in the first set after adding the second set or changes in the second set after adding the first set. It is crucial to note that this measure is not symmetric, it means that the perturbation of the first set on the second set can be different than the perturbation of the opposition direction. The introduced set impact measure allows for the direct treatment of objects described by nominal-valued attributes. The ordinary sets, multisets, fuzzy sets, and the intuitionistic fuzzy sets are considered. The book is intended for data science professionals, philosophers as well as cognitive psychologists, who struggle with practical problems in which asymmetry of proximity of objects cannot be neglected. The use of the proposed measures of perturbation between compared objects can be very important in data mining or in exploration of Internet resources.
    DOI: 10.1007/978-3-031-53096-8
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  • 21
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    Data Science and Big Data Analytics : Proceedings of IDBA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819991792
    Language: English
    Pages: 1 Online-Ressource(XIV, 747 p. 338 illus., 248 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Data-Intensive Research
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Quantitative research. ; Data mining. ; Data protection.
    Abstract: Analysing the role of social influence in adoption of technology for student assessment in Indian management institutions -- Plastic and Non-Plastic Waste Classification using Machine Learning Techniques -- Prediction of Customer Satisfaction in E- banking Services through Neural Network Approach -- Role of AI and Machine Learning in Mental Healthcare -- Proposed a mechanism to precise diagnostics in X-ray film using Fuzzy Logic Controller -- Human Gender Classification of Males and Females in a Crowd using Deep Learning Techniques -- Analysis on prediction of crop diseases using TensorFlow with Keras and OpenCV technique of deep learning -- Design of convolutional encoder for multivalued logic -- Improving the efficiency of water quality prediction using the Supertml approach in machine learning -- Probabilistic Data Structure using hashing technique for big data security de- duplication in cloud environment -- Malicious account detection using ANN -- Performance Evaluation of LiCi-2Ultra-lightweight Block Cipher.
    Abstract: This book features high-quality research papers presented at the Third International Conference on Data Science and Big Data Analytics (IDBA 2023), organized by Sri Aurobindo Institute of Technology, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 16–17, 2023. This book discusses the topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.
    DOI: 10.1007/978-981-99-9179-2
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  • 22
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    Applied Multi-objective Optimization (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819703531
    Language: English
    Pages: 1 Online-Ressource(XI, 170 p. 60 illus., 45 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Springer Tracts in Nature-Inspired Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Mathematical optimization. ; Algorithms.
    Abstract: Chapter 1 : An Introduction to Multi-objective Optimization using Meta-heuristic Algorithms: Techniques and Applications -- Chapter 2 : Counterfactual Explanations and Federated Learning for Multi-objective Optimization -- Chapter 3: Multi-objective Adaptive Guided Differential Evolution for Passively Controlled Structures Equipped with Tunned Mass Damper -- Chapter 4: Evolutionary Approaches for Multi-objective Optimization and Pareto-Optimal Solution Selection in Data Analytics -- Chapter 5 : Multi-objective Lichtenberg Algorithm for Optimum Design of Truss Structures -- Chapter 6 : Performance Analysis of Multi-objective Function-Based Fractional PID Controller for System Frequency Regulation -- Chapter 7: Multi-Modal Routing in Urban Transportation Networks using Multi-objective Quantum Particle Swarm -- Chapter 8 : Plant Leaf Disease Localization and Severity Measurement using Multi-objective Ant Colony Optimization -- Chapter 9 : Multi-objective Feature Selection: A Comprehensive Review -- Chapter 10 :Enhancing Feature Selection using Multi-objective Optimization Concept.
    Abstract: The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management. The topic is useful for graduates, researchers and lecturers in optimization, engineering, management science and computer science. .
    DOI: 10.1007/978-981-97-0353-1
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  • 23
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    Artificial Intelligence of Things for Achieving Sustainable Development Goals (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031534331
    Language: English
    Pages: 1 Online-Ressource(XIV, 388 p. 105 illus., 92 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 192
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Environmental sciences ; Engineering
    Abstract: Chapter 1. Reconsidering a Sustainable Future through Artificial Intelligence of Things (AIoT) in the Context of Circular Economy (Georgios Lampropoulos, Harjinder Rahanu, Elli Georgiadou, Dimitrios Siakas, and Kerstin Siakas) -- Chapter 2. The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on achieving Sustainable Development Goals (Hanane Thamik, Juan David Figueroa Cabrera, and Jiang Wu) -- Chapter 3. The role of the Artificial Intelligence of Things in Energy Poverty alleviation (Ascensión López Vargas, Agapito Ledezma-Espino, and Araceli Sanchis-de-Miguel) -- Chapter 4. AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration (Fadele Ayotunde Alaba, Usman Sani, Emmanuel Gbenga Dada, and Baydaa Hashim Mohammed) -- Chapter 5. Achieving SDGs using AI Techniques and Digital Twins for Nuclear Power Plants: A Review (Kousik Barik, Sanjay Misra, and Harald P-J Thunem) -- Chapter 6. Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things towards SDGs (Assunta Di Vaio, Anum Zaffar, and Daniel Balsalobre-Lorente) -- Chapter 7. Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security (Fadele Ayotunde Alaba, Abayomi Jegede, Usman Sani, and Emmanuel Gbenga Dada) -- Chapter 8. AIoT-Enabled Precision Agriculture for Sustainable Crop Disease Management: Advancing SDGs through Graph Attention Neural Networks (Muhammad Bello Kusharki and Bilkisu Larai Muhammad-Bello) -- Chapter 9. Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data (Arudra Vamshikrishnaa, Dharavath Ramesha, Rahul Mishraa, and Nazeeruddin Mojammadb) -- Chapter 10. IoT-Enabled Machine Learning for Enhanced Diagnosis of Diabetes and Heart Disease in Resource-Limited Settings (John Abubakar, Aghedo Emmanuel Odianose, and Omolola Faith Ademola), etc.
    Abstract: This book covers various topics and trends regarding Artificial Intelligence (AI), Internet of Things (IoT), and their applications in society, industry, and environment for achieving Sustainable Development Goals (SDGs) suggested by the United Nations. Additionally, it discusses their advancements and fusion as well as the realization of Artificial Intelligence of Things (AIoT). The book aims to provide an overview and recent research into the fusion, integration, advancements, and impact of these technologies in the context of SDGs achievement. The topics include the applications of AI, IoT, big data, AI-based and IoT-based cloud computing, machine learning and deep learning techniques, and blockchain among others for achieving SDGs. It also presents findings and discussions on potential application domains, addresses open issues and challenges, offers solutions, and provides suggestions for future research for achieving SDGs. The chapters are clustered, according to particular SDGs or areas of focus, into: i) the realization of AIoT for SDGs, ii) the role of AIoT in achieving society and wellbeing-related SDGs, iii) the fulfillment of industrial sectors, infrastructure, and economy-related SDGs through AIoT, and iv) the use of AIoT to aid natural resources and environment-related SDGs. The book assists researchers, practitioners, professionals, and academicians of various scientific fields in exploring and better understanding these state-of-the-art technologies, their advancements, impact, future potentials and benefits, and their role in successfully achieving SDGs. The book: · Offers an in-depth overview of AIoT for achieving SDGs. · Presents the fusion of AI and IoT for bringing a significant change in everyday life and fulfilling SDGs. · Highlights innovative solutions and results of AIoT integration in several domains for achieving SDGs. · Showcases the influence of AIoT on promoting and improving sustainability in the context of SDGs. · Discusses the issues, benefits, solutions, and impact of AIoT in society, industry, and environment for achieving SDGs.
    DOI: 10.1007/978-3-031-53433-1
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  • 24
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    Space Data Management (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819700417
    Language: English
    Pages: 1 Online-Ressource(XI, 162 p. 48 illus., 42 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 141
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Space. ; Science ; Quantitative research.
    Abstract: Digital Innovation in Space Science -- Legal regimes for Space data -- Regulating space data management -- High Performance Computing, AI, the Metaverse and quantum computing to transform space data management -- AI applications of Space Data -- Blockchain-enabled Satellite Onboard Computing for Smart Contract: Benefits for Multi-sided Markets and IoT Applications -- On the use of available space monitoring data for improving the risk of collision avoidance -- Optimising collection, transmission and transformation of space data to take up security challenges -- A Fragile Watermarking Approach for Earth Observation Data Integrity Protection -- Deepness: Deep Neural Remote Sensing QGIS Plugin -- Earth Observation Data Transfer at Limitations of Small Satellite Missions -- Earth Observation Data Management and Offer: the experience of the ARIC -- Using satellite data to estimate NO2 concentrations in mainland UK from 2005 to 2021 -- Integration of Terrestrial and Non-Terrestrial Networks: challenges and perspectives within the RESTAR project -- Estimate the ice volume of Earth’s glaciers with deep learning and remote sensing -- Can life exist without water? A data driven approach.
    Abstract: The book presents latest results pertaining to challenges faced by researchers in space data management. There are large number of highly important applications that currently rely upon data from satellites and space missions, ranging from weather prediction to monitoring of environmental pollution, climate change, marine traffic, agriculture, and urban planning, etc. The quality and quantity of space data poses new and specific challenges to the scientific community, covering the entire life cycle of space data management and with a need for an interdisciplinary approach. The chapters written by experts discusses impacts of these challenges, and report activities that can stimulate new research.
    DOI: 10.1007/978-981-97-0041-7
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  • 25
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    Big Data and Data Science Engineering : Volume 6 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031533853
    Language: English
    Pages: 1 Online-Ressource(X, 198 p. 41 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1139
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: A Study on the Factors Influencing the Intention to Use MyData Service -- A Study on the Intention to Use the Urban Air Mobility Passenger Transportation Service -- A Study on the Integration of Endpoint Security Service Operations Management - Focusing on Cloud Services -- A Study on the Factors Affecting the Korean Financial Institution’s Switching Intention to Open Source Software - Focused on System Software -- A Study on the Intention to Utilize Overseas Developers through Offshoring - Using the Value-Acceptance Model (VAM) -- The Role of Co-creation Experience and Switching Cost in the Relationship between Service Recovery and Customer Loyalty -- A Comprehensive Analysis of Security Measures for MyData in South Korea Based on AHP -- A Study on the Factors Influencing the Performance of Korea Venture Capital Funds -- A Research on Factors Influencing the Survival of Small Businesses: Focusing on Franchise Convenience Stores -- A Study on Purchase Intention for Innovative Products: Focusing on Oxygen-generating Air Purifiers -- The Impact of Company's ESG Activities on Corporate Reputation -- The Impact of ESG Activities in Midsize Manufacturing Companies on Purchase Intentions: Focusing on the Mediating Roles of Corporate Reputation, Brand Image, and Perceived Quality -- A Study on the Intention to Utilize Overseas Developers through Offshoring Approach and Strategy for Economic Cooperation between South and North Korea Using the Value-Acceptance Model (VAM) - Based on the Case Study of the Kaesong Industrial Complex -- A Study on the Intention to Use Home Network Services -- A Study on the Impact of Green Patent Data on ESG Environment Indicators. .
    Abstract: The book reports state-of-the-art results in Big Data and Data Science Engineering in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive computational intelligence research forum available in the world. This book publishes original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-53385-3
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  • 26
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    A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics : Theory and Applications (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031504921
    Language: English
    Pages: 1 Online-Ressource(XV, 315 p. 120 illus., 23 illus. in color.)
    Edition: 2nd ed. 2024.
    Series Statement: Studies in Fuzziness and Soft Computing 432
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomathematics. ; Biometry.
    Abstract: Fuzzy Sets Theory and Uncertainty in Mathematical Modeling -- The Extension Principle of Zadeh and Fuzzy Numbers -- Fuzzy Relations -- Notions of Fuzzy Logic -- Fuzzy Rule-Based Systems -- Fuzzy Relational Equations and Approximation -- Measure, Integrals and Fuzzy Events -- Fuzzy Dynamical Systems.
    Abstract: This book provides an essential introduction to the field of dynamical models. Starting from classical theories such as set theory and probability, it allows readers to draw near to the fuzzy case. On one hand, the book equips readers with a fundamental understanding of the theoretical underpinnings of fuzzy sets and fuzzy dynamical systems. On the other, it presents some concepts of derivatives, integrals and differential equations applied to the context of fuzzy functions. Each of the major topics is accompanied by examples, worked-out exercises, and exercises to be completed. Moreover, many applications to real problems are presented, mainly in biomathematics where the so-called p-fuzzy systems play an important role. The book has been developed on the basis of the authors’ lectures to university students and is accordingly primarily intended as a textbook for both upper-level undergraduates and graduates in applied mathematics, statistics, and engineering. It also offers a valuable resource for practitioners such as mathematical consultants and modelers, and for researchers alike, as it may provide both groups with new ideas and inspirations for projects in the fields of fuzzy logic and biomathematics. This thoroughly updated second edition includes a new chapter on fuzzy optimization, which also presents an application in carbon markets analysis and modeling.
    DOI: 10.1007/978-3-031-50492-1
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  • 27
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    Advances in Information and Communication Technology : Proceedings of the 2nd International Conference ICTA 2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031508189
    Language: English
    Pages: 1 Online-Ressource(XXXII, 459 p. 225 illus., 199 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 848
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering mathematics. ; Engineering
    Abstract: A combination of Active Learning and Deep Learning for improving breast cancer prediction -- A Novel Arm Bone Fracture Detection Using Deep Learning -- A systematic review of Artificial Intelligence in Geographic Information Systems -- Build an effective system for container code recognition -- Building an Efficient Retriever System with Limited Resources -- Deep Learning based Coconut Fruit Maturity Classification -- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.
    Abstract: This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).
    DOI: 10.1007/978-3-031-50818-9
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  • 28
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    Management, Tourism and Smart Technologies : ICMTT 2023 Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031437335
    Language: English
    Pages: 1 Online-Ressource(X, 396 p. 69 illus., 50 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 774
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Tourism. ; Management. ; Engineering
    Abstract: Impact of Logistics Training on Freight Transportation Companies in Bogotá -- Acceptance Sampling of Vegetables and Legumes in Units based on the Military Standard (MIL-STD 105E) -- Assessing the Impact of Dry Ports to the Supply Chain Safety and Security -- Factors that influence the quality of customer service in telecommunications companies -- After the hiking tour: walkers' behaviour -- Analysis of citizen satisfaction in municipal services -- The Ecotourism Landscape of Qatar -- Natural Parks image: an analysis of Tripadvisor reviews.
    Abstract: This book presents advances in the research of various entities in the world, which are working on the application of technology or management in tourism. Indeed, one of the sectors hardest hit by the pandemic was tourism, likewise one of the post-pandemic effects is the rapid recovery of the sector, but more importantly is the great innovation that has occurred in marketing strategies for tourism using technology and applying management strategies not only to be more profitable but to have the best customer satisfaction. The book is aimed at the general public that seeks to innovate, learn from lessons learned and establish a knowledge base in mechanisms that apply technology or management in tourism, with the aim of improving the experience of all those involved in the business chain. This compendium aims to share all those great experiences and researches in the areas of: Managements, Tourism, Marketing strategies in Management, Tourism and Technology, Technology, Applied Computer Science, Artificial Intelligence, Business Administration, Cloud Computing, Educational Management, Finance, Insurance and Services Management, Health Tourism, Human Resource Management, Information Systems Planning and Management, Information Technologies in Tourism, Internet Technology, Knowledge Management, Management of Supply Chain and Logistics, Marketing Innovation, Robotics, Strategic Management Innovation, Sustainability Management, Technical Economy Management, Technical Innovation and Management, Technology in Tourism and Tourist Experience, Tourism Industry and Ecology, Tourism Management, a total of 77 research projects and many spaces and relationships between researchers to collaborate in the advancement of science are presented.
    DOI: 10.1007/978-3-031-43733-5
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    Computational Intelligence and Mathematics for Tackling Complex Problems 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031469794
    Language: English
    Pages: 1 Online-Ressource(X, 147 p. 33 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1127
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Mathematics
    Abstract: Additional notes on heterogeneous concept-forming operators -- On the measure of inconsistency of fuzzy relation equations -- Efficiency of fuzzy rough set decision algorithms -- Use of Fuzzy Time Series to generate linguistic descriptions of noise pollution -- A Novel Fingerprint Identification Fuzzy System Using a Center-Distance Weighted Local Binary Pattern -- Global Sensitivity Analysis and Low Magnitude Pruning for Convolutional Neural Networks Reduction in ImageNet based on Transfer Learning State of the Art Models -- Generalized linearity of aggregation and related functions -- A preliminary study between semicopulas and other algebraic structures -- Closure theory of semirings-valued fuzzy sets.
    Abstract: This book is focused on connecting two interesting research areas, mathematics and computational intelligence, by means of appealing contributions devoted to give solutions to different challenges of the current technological age. It continues the collection of articles dealing with the important and efficient combination of these both areas, with a stress of fuzzy systems and fuzzy logic. It also includes relevant papers on the development and application of mathematics, artificial intelligence, and automatic reasoning tools to Digital Forensics, which have been developed within the framework of the COST Action DigForASP-CA17124 (digforasp.uca.es).
    DOI: 10.1007/978-3-031-46979-4
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    Developments and Advances in Defense and Security : MICRADS 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819988945
    Language: English
    Pages: 1 Online-Ressource(XII, 238 p. 48 illus., 40 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 380
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Politics and war. ; Signal processing.
    Abstract: Strategic positions of actors related to the defense industry in Ecuador -- Critical Factors on Lean Implementation to the Portuguese Aeronautic Industry -- Prioritization of Maintenance Repair Overhaull Capabilities Development for Military Aviation -- Evaluation of different substrates for electrodeposition of riboflavin films for determination of boric acid in eye drops -- Integrating random linear network coding and content delivery networks for reduced latency in heterogeneous network processing of mobile devices -- Artificial Intelligence Applications in Military Logistics Operations -- Artificial Intelligence Based Drowsiness Detection System for Driver Safety -- Impact of an Augmented Reality Environment in Learning Computer Networks Principles -- The impact of numerical shifts on the field artillery firing accuracy -- Management of operational usability requirements: the key to saving resources and good performance of military materials -- ChatGPT to motivate Critical Thinking inthe teaching-learning process of first semester students at the Technical University of Ambato -- Digital and traditional channels in the internal communication of a university in Peru -- Characteristics of Leadership in a Military Context: Systematic Literature Review by PRISMA Method -- Brand image mediated by satisfaction through organizational culture and cultural hierarchy. A study in the technical school of the army -- Open RCS: an open-source platform for numerical evaluation of Radar Cross Section of 3D targets -- Intrinsic and Existential Risks Due to Dual-Use Tools.
    Abstract: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS 2023), held at Graduate School of the Colombian Air Force, in Bogota, Colombia, during July 6–8, 2023. It covers a broad range of topics in systems, communication, and defense; strategy and political–administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.
    DOI: 10.1007/978-981-99-8894-5
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579318
    Language: English
    Pages: 1 Online-Ressource(XXIX, 513 p. 198 illus., 160 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 203
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Application of Soft Computing Techniques for Clustering in VANETs: A Survey -- EarlyStage Diabetes Risk Detection Using Comparison Of Xgboost, Lightgbm, And Catboost Algorithms -- Blockchain Based Artificial Intelligence of Things (AIoT) for Wildlife Monitoring -- Research on Screw Detection Using Artificial Intelligence Technology -- An Efficient Method for Lung Cancer Image Segmentation and Nodule Type Classification Using Deep Learning Algorithms -- Targeted and Automatic Deep Neural Networks Optimization for Edge Computing -- Edge to Cloud Network Function Offloading in the ADAPTO Framework -- DEFEDGE: Threat-driven Security Testing and Proactive Defense Identification for Edge-Cloud Systems -- Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum -- REDRAW: FedeRatED leaRning for humAn Wellbeing -- Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees -- Optimization of University Services through Cloud-Edge Integration: Study of a use case at the University of Naples Federico II -- Distributed Collaborative AR on Cloud Continuum: a Case Study for Cultural Heritage -- Survey on Reference Architecture for Cloud Continuum and Multi-Access Edge Computing (MEC) in 5G Networks -- Elastic Autoscaling for Distributed Workflows in MEC Networks.
    Abstract: This book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications, different kinds of networks need to collaborate and wired and next-generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. This book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57931-8
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579165
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 485 p. 178 illus., 141 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 202
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: The Deployment of E-Learning Application as a Web Service in a Cloud Broker Architecture -- CarbonApp: Blockchain Enabled Carbon Offset Project Management -- Investigating the Impact of Congestion Control Algorithms on Edge-Cloud Continuum -- Design and Implementation of a Fuzzy-based System for Assessment of Relationship Trust -- BarongTrace: A Malware Event Log Dataset for Linux -- Specifying SSI over EAP: Towards an Even Better Eduroam in the Future -- FastSGX: A Message-passing based Runtime for SGX -- Leveraging Chat-Based Large Vision-Language Models for Multimodal Out-of-Context Detection -- Enhancing the 5G-AKA Protocol with Post-Quantum Digital Signature Method -- SoK: Directions and Issues in Formal Verification of Payment Protocols -- PCPR: Plaintext Compression and Plaintext Reconstruction for Reducing Memory Consumption on Homomorphically Encrypted CNN -- Design and Performance Evaluation of a Two-stage Detection of DDoS Attacks Using a Trigger with a Feature on Riemannian Manifolds -- Discovering Personally Identifiable Information in Textual Data - A Case Study with Automated Concatenation of Embeddings -- Towards User-Oriented Steganography -- AI-based Cybersecurity Systems.
    Abstract: The aim of the book is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure, and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next-generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design, and applications of computer networks, distributed computing, and information systems.
    DOI: 10.1007/978-3-031-57916-5
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    Road Traffic Analysis, Theoretical Approaches and Practical Solutions (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031514494
    Language: English
    Pages: 1 Online-Ressource(XI, 125 p. 36 illus., 21 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 877
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Transportation engineering. ; Traffic engineering.
    Abstract: Development of a camera-based parking monitoring system with an automatic parking spot identification -- Energy-efficient radio platforms for implementation of nodes of sensor networks -- A heuristic approach to assess the performance efficiency of road intersections in urban environments from the resilience perspective -- The ecological footprint of embedded rail structures -- Vectors of development of mountain tricycles.
    Abstract: This book presents many valuable tips for making decisions related to road traffic in transport networks. The knowledge base in practical examples, as well as the decision support systems described in this volume, finds interest among people who face the daily challenge of searching for advanced solutions and practical applications in road traffic engineering. The publication is therefore addressed to local authorities related to the planning and development of development strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions. The tips contained in individual sections of the publication allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (among others, in relation to the heuristic approach to assessing the performance efficiency of road intersections in urban environments from the resilience perspective, modeling the distribution of transport pollutants in a naturally ventilated road tunnel, development of a camera-based parking monitoring system with an automatic parking spot identification). In turn, due to a new approach to theoretical models (including, inter alia, problems with the safety of passengers at tram stops or energy-efficient radio platforms for the implementation of nodes of sensor networks), the publication also interests scientists and researchers carrying out research in this area. The publication entitled "Road Traffic Analysis, Theoretical Approaches and Practical Solutions" contains selected papers submitted to and presented at the 19th “Transport Systems. Theory and Practice” Scientific and Technical Conference organized by the Department of Transport Systems, Traffic Engineering and Logistics at the Faculty of Transport and Aviation Engineering at the Silesian University of Technology. The conference took place on September 18–19, 2023, in Katowice (Poland).
    DOI: 10.1007/978-3-031-51449-4
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    Towards a Hybrid, Flexible and Socially Engaged Higher Education : Proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031526671
    Language: English
    Pages: 1 Online-Ressource(XVII, 502 p. 143 illus., 116 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 900
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Education
    Abstract: A Use Cases Driven Design of a Virtual Anatomy -- ADDIE Implementation When Teaching Professional Foreign Language Online in Technological University -- Gamification as a Key Factor for Students' Motivation in EFL Classrooms -- Gamification As An Essential Factor For Developing Management Skills -- The Formation of a Virtual Educational Environment as an Element in the System of Improving the Digital Competences of Teachers -- Approaches To Foreign Language Teaching To Future Engineer-Teachers In The Context Of Digitalization And Distance Learning.
    Abstract: This book contains papers in the fields of educational virtual environments, future of education, project-based learning (PBL), and digital education strategy and engineering pedagogy. The authors currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary education. To face these challenges, higher education must find innovative and effective ways to respond in a proper way. The pandemic period left us with profound changes in the way we teach and learn, including the massive use of new means of communication, such as videoconferencing and other technological tools. Moreover, the current explosion of artificial intelligence tools, mainly used by students, is challenging teaching practices maintained for centuries. Scientifically based statements as well as excellent best practice examples are absolutely necessary. The 26th International Conference on Interactive Collaborative Learning (ICL2023), which took place in Madrid, Spain, between September 26 and 30, 2023, was the perfect place where current trends in higher education were presented and discussed. Since its beginning in 1998, this conference has been devoted to new approaches in learning with a focus on collaborative learning in higher education. Nowadays, the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in learning and engineering pedagogy. In this way, the authors try to bridge the gap between ‘pure’ scientific research and the everyday work of educators. Interested readership includes policy makers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc.
    DOI: 10.1007/978-3-031-52667-1
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    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
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    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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    Genetic and Evolutionary Computing : Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume II), October 6-8, 2023, Kaohsiung, Taiwan (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819994120
    Language: English
    Pages: 1 Online-Ressource(XV, 507 p. 201 illus., 159 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1114
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Mathematical optimization. ; Computational complexity.
    Abstract: Technologies for Next-Generation Network Environments -- Recent Progress in Computational Electromagnetic Dynamics -- Future Cyber Security, Privacy and Forensics for Advanced systems -- Data Mining Techniques and its Applications -- Optimization Models in Deep Learning/Machine Learning.
    Abstract: This second volume of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6-8, 2023 in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including technologies for next-generation network environments, recent progress in computational electromagnetic dynamics, future cyber security, privacy and forensics for advanced systems, data mining techniques and its applications, optimization models in deep learning and machine learning. It will help readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
    DOI: 10.1007/978-981-99-9412-0
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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
    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 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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    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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    International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023) : Advanced Intelligent Systems on Digital Health Technology, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031523885
    Language: English
    Pages: 1 Online-Ressource(XI, 478 p. 198 illus., 147 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 904
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Environmental sciences
    Abstract: This book encapsulates the innovative discussions held during the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), which took place at Mohammed 6 University of Sciences and Health Casablanca, Morocco. This book delves into the multifaceted realm of advanced intelligent systems, specifically focusing on digital health technology. The book offers a comprehensive exploration of cutting-edge research and breakthroughs in this dynamic field, providing a holistic perspective on the latest advancements. Within these pages, you will find papers covering an array of captivating topics, including AI-driven diagnostics, wearable health devices, predictive analytics in health care, and much more. Each contribution delves into the synergy of intelligent systems and digital health, showcasing how these technologies intertwine to shape the future of healthcare. Designed for researchers, practitioners, and enthusiasts alike, this book serves as an invaluable resource for staying updated on the latest trends and developments in the intersection of advanced intelligent systems and digital health technology. Whether you are seeking to broaden your knowledge or seeking practical insights, this book caters to a diverse readership eager to harness the potential of these innovative domains.
    DOI: 10.1007/978-3-031-52388-5
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    Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2022) : Agricultural Cyber-Physical Systems, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031379789
    Language: English
    Pages: 1 Online-Ressource(XXXIX, 1403 p. 348 illus., 247 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 733
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Agriculture.
    Abstract: The scope of this book is cyber-physical systems used for the sustainable development and productivity of the agricultural sector. The book contains proceedings of the conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022, Tashkent, Uzbekistan). The results of research in the following areas are presented here: software-as-a-service solutions for orchard management, ICT components of Smart Agriculture (SA), farm management platforms, yield monitoring and estimation, IoTs in farming, water management, and smart agriculture machines. The book contains information on the latest technologies in precision agriculture, including real-time technology and big data analytics, fertilizer and sprayer controllers, robotics, variable rate irrigation, networks and remote sensing technologies, etc. The research results presented in the book help in making the right decisions about the allocation of resources in agricultural systems.
    DOI: 10.1007/978-3-031-37978-9
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    Innovations in Biomedical Engineering 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031523823
    Language: English
    Pages: 1 Online-Ressource(VIII, 258 p. 146 illus., 114 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 875
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomedical engineering. ; Medical informatics.
    Abstract: This book presents a collection of scientific articles on recent research on innovations in biomedical engineering. Articles are divided into two chapters covering broad areas of experimental research and biomedical engineering, engineering of biomaterials as well as informatics and modelling in biomedical engineering. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike. The topics include not only theoretical considerations but also practical applications of research conducted in cooperation between engineers, doctors, and physiotherapists. .
    DOI: 10.1007/978-3-031-52382-3
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    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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    Information Systems and Technologies : WorldCIST 2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031456459
    Language: English
    Pages: 1 Online-Ressource(XXIII, 681 p. 194 illus., 140 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 800
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Application software.
    Abstract: Knowledge discovery in wikidata with machine learning in graph -- Topic Modelling for Detecting Reactions to Science Communication on Social Networks -- Pragmatic Statistics: Likert-Type Questionnaires Processing -- The influence of knowing the source of information on reader’s perceptions. An exploratory study on Twitter -- Knowledge Management: A new business success factor in companies in southern Peru -- Relationship Between Subjective Wellbeing and Prosocial Activities (Ecuadorian Case) -- The data repositories in agriculture. A preliminary investigation -- Towards a KOS to Manage and Retrieve Legal Data -- Experimental Analyses of Temporal Activity-Sequencing Anomalies in Process Mining -- Supervised Machine Learning Based Anomaly Detection in Online Social Networks.
    Abstract: This book is composed of a selection of articles from the 11st World Conference on Information Systems and Technologies, held between 4 and 5 of April 2023, at Sant'Anna School of Advanced Studies, in Pisa, Italy. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications, and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility, and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers, and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.
    DOI: 10.1007/978-3-031-45645-9
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    Multi-Strategy Learning Environment : Proceedings of ICMSLE 2024 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819714889
    Language: English
    Pages: 1 Online-Ressource(XVI, 717 p. 279 illus., 241 illus. in color.)
    Edition: 1st ed. 2024.
    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. ; Computer vision. ; Natural language processing (Computer science). ; Game theory.
    Abstract: The book presents selected papers from International Conference on Multi-Strategy Learning Environment (ICMSLE 2024), held at Graphic Era Hill University, Dehradun, India, during 12–13 January 2024. This book presents current research in machine learning techniques, deep learning theories and practices, interpretability and explainability of AI algorithms, game theory and learning, multi-strategy learning (MSL) in distributed and streaming environments, and adaptive data analysis and selective inference.
    DOI: 10.1007/978-981-97-1488-9
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    Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications—Volume 2 : CIPA 2023, November 2—3, Changzhou, China (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819719792
    Language: English
    Pages: 1 Online-Ressource(XI, 613 p. 179 illus., 107 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 197
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Pattern recognition systems. ; Neural networks (Computer science).
    Abstract: Research on Path Optimization of Deep Sea Mining Vehicles Based on Intelligent Algorithms -- Research on Technical Analysis Method of Green Building Based On Genetic Algorithm -- Intelligent Inspection Unmanned Aerial System Based on Neural Network Modelling -- Analysis on the Operation Mode of Project Studio System in Computer Aided Design and Environmental Design Specialty -- Comparative Analysis of Modular Prefabricated Module Substation and Conventional Substation -- Study on the Correlation between Landscape Pattern and Beauty Degree of Rural Landscape Based on Cloud Computing Technology-Take Doushita Village as an example -- Security Technology in Microservice Architecture -- An Information Management System for Survey of Assembled Buildings Based on Data Analysis Algorithms -- Research on Multi-index Evaluation of Gas Distributed Energy Station Based on AHP- Entropy Weight Method -- Optimization of Environmental Factors for MFC Treatmentof Oily Sewage from Ships Based on Response Surface Methodology -- The Optimal Management of Enterprise Supply Chain Collaboration Based on Blockchain Technology -- A Novel Energy Optimization Method in Construction Engineering -- UI Interface Design Analysis of Fresh E-Commerce APP -- Dynamic Visual Representation of Graphic Interface in Digital Media Background -- Research on the Application of Computer Big Data Technology in Tax Audit of Financial Data.
    Abstract: This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–-3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 2 for this conference proceedings, which consists of a 3-volume book series. .
    DOI: 10.1007/978-981-97-1979-2
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    Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 5 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819713134
    Language: English
    Pages: 1 Online-Ressource(XX, 489 p. 191 illus., 148 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 949
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Chapter 1: A Structure for Forecasting Stomach Cancer Using Deep Learning and Advanced Tongue Characteristics -- Chapter 2: Smart Rack System Using AI -- Chapter 3: "Enhancing Pneumonia Detection Accuracy through ResNet-Based Deep Learning Models and Ensemble Techniques: A Study Using Chest X-Ray Images" -- Chapter 4: Polisentix : Political Sentiment Analyser -- Chapter 5: An Interactive Smartphone Application to Manage Youth Loneliness -- Chapter 6: The Integral Significance of Data Science in Startup Ecosystems -- Chapter 7: Comparing Object Detection Models for Public Safety -- Chapter 8: Evolution of ChatGPT and different language models: A Review -- Chapter 9: Emotion Detection for the Blind using Deep Learning -- Chapter 10: Impact of Feature Normalization Techniques for Recognition of Speech for Mathematical Expression. etc.
    Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
    DOI: 10.1007/978-981-97-1313-4
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    New Perspectives in Software Engineering (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031505904
    Language: English
    Pages: 1 Online-Ressource(XVII, 410 p. 136 illus., 103 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1135
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: The goal of this book is to provide a broad understanding on the New Perspectives in Software Engineering research. The advancement of computers, and mobile devices, among others, has led to the creation of new areas of knowledge to improve the operation and application of software in any sector, allowing many previously unimaginable activities. In this context, the evolution of software and its applications has created new domains of interest, emerging New Perspectives of Software Engineering for these new areas of knowledge such as: DevOps, Industry 4.0, Virtual and Augmented Reality, Gamification, Cybersecurity, Telecommunications, Health Technologies, Energy Systems, Artificial Intelligence, Robot control, among others. This book is used in different domains in which a broad scope of audience is interested: software engineers, analyst, project management, consultant, academics and researchers in the field both in universities and business schools, information technology directors and managers, and quality managers and directors. Finally, the book contents are also useful for Ph.D. students, master’s, and undergraduate students of IT-related degrees such as Computer Science and Information Systems.
    DOI: 10.1007/978-3-031-50590-4
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    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
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    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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    Computational Intelligence in Healthcare Informatics (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819988532
    Language: English
    Pages: 1 Online-Ressource(XXXIII, 388 p. 160 illus., 117 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1132
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Medical informatics. ; Artificial intelligence.
    Abstract: Refining Metabolic Network by Fuzzy Matching of Metabolite Names for Improving Metabolites Ranking towards the Diseases -- Learning from Imbalanced Data in Healthcare: State-of-the-art and Research Challenges -- A Review on Metaheuristic Approaches for Optimization Problems -- Diabetes Prediction: A Comparison between Generalised Linear Model and Machine Learning -- Prediabetes Prediction using Response Surface Methodology and Probabilistic Neural Networks Model in an Ethnic South Indian Population.
    Abstract: The book presents advancements in computational intelligence in perception with healthcare applications. Besides, the concepts, theory, and applications in various domains of healthcare systems including decision making in healthcare management, disease diagnosis, and electronic health records will be presented in a lucid manner. To achieve these objectives, both theoretical advances and its applications to healthcare problems will be stressed upon. This has been done to make the edited book more flexible and to stimulate further research interest in topics. The book is divided into four sections such as theoretical foundation of computational intelligence techniques, computational intelligence in analyzing health data, computational intelligence in electronic health record (EHR), and computational intelligence in ethical issues in health care.
    DOI: 10.1007/978-981-99-8853-2
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    Sustainability in Energy and Buildings 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819985012
    Language: English
    Pages: 1 Online-Ressource(XX, 817 p. 298 illus., 249 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 378
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Sustainable architecture. ; Renewable energy sources.
    Abstract: Vacuum Insulation Panels for Domestic New Builds and Refurbishment in Scotland -- Environment Performance Criteria as Means for Green Public Procurement -- A Conceptual Framework for a Sustainable Building Rating System -- Experimental comparison between a diffuse insulation masonry and a traditional lightweight insulated wall -- A Technical Review on Blue and Blue-Green Roofs.
    Abstract: This book contains the proceedings of the 15th KES International Conference on Sustainability and Energy in Buildings 2023 (SEB2023) held in Bari, Italy, during September 18–20, 2023, organized by KES International. SEB23 invited contributions on a range of topics related to sustainable buildings and explored innovative themes regarding sustainable energy systems. The conference formed an exciting chance to present, interact, and learn about the latest research and practical developments on the subject. The conference attracted submissions from around the world. Submissions for the full-paper track were subjected to a blind peer-reviewed process. Only the best of these were selected for presentation at the conference and publication in these proceedings. It is intended that this book provides a useful and informative snapshot of recent research developments in the important and vibrant area of sustainability in energy and buildings. .
    DOI: 10.1007/978-981-99-8501-2
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    Emerging Research in Intelligent Systems : Proceedings of the CIT 2023 Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522550
    Language: English
    Pages: 1 Online-Ressource(XIII, 354 p. 150 illus., 133 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 902
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: Proposal design of an autonomous photovoltaic plant on potentially liquefiable soil in the isolated rural community of Agua Fría, Ecuador -- Seismic design considerations for the installation of photovoltaic systems on flat reinforced concrete roofs: A case study in Ecuador -- A brief guide to the implementation of lean tools in the Ecuadorian context -- Analytical study of the behavior of tubular elements reinforced with natural fibers under dynamic loads -- Landstorfer antenna structure shaping based on parameterized parallel curves -- Solving the generation and transmission capacity expansion planning framework modeling the AC power flow problem and incorporating reactive compensation devices -- Reconstruction of the boundary condition of the convection–diffusion–reaction equation with automatic selection of the step length -- Assessing carbon capture, transport, and storage processes: A critical review -- Antenna densification in non-uniform linear and planar arrays -- Greinacher rectifier evaluation for WiFi band energy harvesting -- Experimental measurement of potential energy in stairways with hydraulic damping systems -- Vulnerability characteristics of wetlands in the Guaranda wasteland, central Ecuador – Implications of long-term sustainability -- Climate variability and its effect on flood risk through dynamic modeling in the Quigushuaycu stream -- Network Neutrality policies in the 5G South American market -- Evaluation of the internal temperature and hours of thermal discomfort produced by sunshine: Study of a hot dry climate -- Review of biomass and biopolymers synthesized in Ecuador -- Solar energy conversion systems thermal management applying constructal theory: a comparative analysis -- Quantification of the decrease of droplets expelled from the human respiratory tract during expiratory activities when using masks -- Impacts of park-and-ride systems on vehicle emissions in intermediate cities -- Machine learning regressors in forecasting mechanical properties in advanced manufacturing processes -- Comparative evaluation of performance efficiency in terms of temporal behavior and resource utilization, according to the ISO/IEC 25010 model, in a web application developed with Angular, React.js, and Vue.js -- Prediction models of oral diseases: A systematic review of the literature -- How can personal knowledge graphs contribute to precision nutrition? -- Interactive e-Books in mathematics learning: A systematic mapping study.
    Abstract: This book covers different aspects of advances in research, technological development, and innovation results in artificial intelligence, computational modeling, electrical, electronics, telecommunication, data communications, defense engineering, innovation, technology and society, managing technology and sustained innovation, business development, security and cryptography, and software engineering. In addition, the volume focuses on research results focused on finding innovative solutions in intelligent systems concerning the topics mentioned above, which are developed in national and international postgraduate programs and associated research groups and networks. This book interests the industry, teachers, undergraduate and graduate students, and researchers working in intelligent systems, security and defense, and technological, human, and administrative sciences. .
    DOI: 10.1007/978-3-031-52255-0
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    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
    Parallel Title: Erscheint auch als
    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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    Data-Centric Business and Applications : Modern Trends in Financial and Innovation Data Processes 2023. Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031540127
    Language: English
    Pages: 1 Online-Ressource(XIV, 394 p. 106 illus., 67 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 195
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Business information services. ; Computational intelligence.
    Abstract: Organizational, Financial, and Informational Restructuring in the System of Demonopolization of the Transport Complex of Ukraine in the Conditions of the Knowledge Economy -- Modeling of the Key Threats and Identification of the Prospects for Social Security Support in the Sphere of Employment and Labor Payment in Ukraine -- Formation of Marketing Competencies in Case of Startups Integration into the Intellectualized Market Space -- Information Systems for Vehicles Technical Condition Monitoring -- Model for New Innovation Knowledge Spreading in Society -- Informational and Digital Business Security in Tourism as a Component of the Coastal Region Competitiveness -- Economic Assessment of Outsourcing of Intellectual and Information Technologies -- Digitalization of Consumers’ Behavior Model in the Dairy Market -- Modelling and Information Support for Assessing the Potential for Increasing the Financial Stability of Enterprises -- Transformation ofa Regional IT Cluster into a Cross-Border IT Cluster as a Direction of it Business Development Under the Conditions of Negative Influence of External Factors -- Formation of Organizational Change Management Strategies Based on Fuzzy Set Methods -- Modeling the Level of Implementation of BIM by Enterprises as a Means of Optimizing the Cost -- Digital Promotion as Innovative Business Management Technologies of Retail Chains -- Support for the Development of Educational Programs with Graph Database Technology -- Information Technology for Identifying Hate Speech in Online Communication Based on Machine Learning -- Method for Counting Animals in Motion for the Milking Plant Information Systems -- Cryptocurrency as a Tool for Attracting Investment and Ensuring the Strategic Development of the Bioenergy Potential of Processing Enterprises in Ukraine.
    Abstract: This book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.
    DOI: 10.1007/978-3-031-54012-7
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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
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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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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578700
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 462 p. 198 illus., 155 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 201
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Efficient Communication Protocol for Programmable Matter -- IoRT-based Distributed Algorithm for Robust Team Formation and its Application to Smart City Operation -- A WSN and Vision based Energy Efficient and Smart Surveillance System using Computer Vision and AI at Edge -- Mitigating Resource Depletion and Message Sequencing Attacks in SCADA Systems -- API Descriptions for the Web of Things -- SmartDriveAuth: Enhancing Vehicle Security with Continuous Driver Authentication via Wearable PPG Sensors and Deep Learning -- A Vision Transformer Based Indoor Localization Using CSI Signals in IoT Networks -- Deep Reinforcement Learning for VNF Placement and Chaining of Cloud Network Services -- Optimising Water Quality Classification in Aquaculture Using a New Parameter Pre-selection Approach -- Topic Analysis of Japanese Sentences Using Sentence Embeddings -- Performance Improvement of Semantic Search Using Sentence Embeddings by Dimensionality Reduction -- A Fuzzy-based System for Assessment of Performance Error in VANETs -- Carbon Credits Price Prediction Model (CCPPM) -- Experimental Exploration of the Power of Conditional GAN in Image Reconstruction-based Adversarial Attack Defense Strategies -- Framework for Cognitive Self-Healing of Real Broadband Networks -- Honey Bee Inspired Routing Algorithm for Sparse Unstructured P2P Networks.
    Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57870-0
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    Strategic Blueprint for Enterprise Analytics : Integrating Advanced Analytics into Data-Driven Business (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558856
    Language: English
    Pages: 1 Online-Ressource(XVII, 245 p. 64 illus., 34 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 150
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    Keywords: Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.
    DOI: 10.1007/978-3-031-55885-6
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    AI Approaches for Designing and Evaluating Interactive Intelligent Systems : Selected and Revised Papers from RoCHI 2022 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031539572
    Language: English
    Pages: 1 Online-Ressource(X, 203 p. 52 illus., 37 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Learning and Analytics in Intelligent Systems 36
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Artificial intelligence.
    Abstract: Designing, building, and evaluating Interactive and Intelligent Systems (IIS) has highly impacted the progress of Artificial Intelligence (AI) techniques due to advancements in the fields of Deep Learning (DL) and Natural Language Processing (NLP). This book presents in a structured way several practical use cases of the interplay between IIS and DL/NLP, from cognitive assistants, adaptive navigation systems, virtual reality, offensive comment and cyberbullying detection, 3D modelling, and driving behaviour detection. The convergence of AI and Human-Computer Interaction (HCI) has been proven to foster the IIS development that nowadays represents the most used context by actively integrating AI techniques in merely any layer of modern applications. The main goal of this book is to provide a practical reference with a rich set of approaches and applications consisting of selected and revised papers from the International Conference on Human-Computer Interaction (RoCHI) 2022 that was held on 6-7 October 2022 at the University of Craiova, Romania. The book addresses researchers and practitioners with experience in IIS and AI (mainly DL and NLP) who want to study successfully developed workflows and applications that may be useful in their attempts to tackle issues from their contexts. Although the book nicely integrates concepts from various areas, each chapter may be considered a standalone topic with its research issue, proposed approach, experimental results, and discussions.
    DOI: 10.1007/978-3-031-53957-2
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    Proceedings of Second International Conference on Intelligent System : ICIS 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819989768
    Language: English
    Pages: 1 Online-Ressource(XII, 518 p. 271 illus., 218 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. ; Quantitative research. ; Data protection.
    Abstract: Deep Convolutional Neural Networks for Brain Tumor Image Segmentation -- A Comparison and Evaluation of Handwritten Digit Recognition (HDR) Algorithms -- An Analysis of Machine Learning Algorithms for AQI Prediction -- Application of The Harmonic Runge-Kutta with Forward-Backward Technique by Parallelism -- A preconditioned conjugate gradient multigrid method for multi-material topology optimization -- Generated Graph for Text Encryption Algorithm Based on BRHC Curve -- Issues and Challenges of Digital Banking System -- Impact of COVID-19 Pandemic on Assessment Process of Technical Education System-Analysis and Critical Review -- Ensuring Energy Efficiency using AI and Nudge Theory to Reach Sustainable Development Goals: A Research Framework -- Configuration and Evaluation of Models for Ecological Systems the case of distribution of Koala -- Design and Experiments of a Manta-Ray Robot for STEM Education -- Price forecast for Imbalanced Label Data by Meta Heuristic model -- Unmanned Aerial Vehicles(UAVs): Performance Analysis of Routing Protocols for Optimized Operations -- Processing the missing value based on the linear regression approach -- Comparative Analysis for Test Case Prioritization using Particle Swarm Optimization Firefly Algorithm -- Improving object detection versatility with 6G in VANETS -- Analysis of Human Behavior on Movie Review -- Artificial Intelligence (ΑΙ) in Education-Current Trends -- The Study of Randomness Properties Exhibited by LAO-3D Lightweight Block Cipher Algorithm -- Association Rule Mining Based Food Preferences Analysis Using FP-Growth Method -- Studies on potential conflicts of network densification in 6G -- Machine Learning Framework for Detecting Fake News over Social Media Platforms -- Analysis and Detection of Political Fake News Using Deep Learning With High-Performance Hybrid-Model -- Wasserstein barycenters over Heisenberg group -- BlockChain Technology with High Performance Via Parallel Processing -- Customer Churn Prediction Model using Deep Learning -- Artificial Intelligence Use in Maritime And Ports Industry as Smart Multimodal Hubs - Emerging Trends -- On-line wear measurement for micro turning round tip tool based on machine vision -- Logistic Regression based Legal Prediction Model -- A Comprehensive Approach for Predicting Different Types of Retinal Detachment with ML algorithms -- Diabetic Retinopathy Automatic Detection and Classification in fundus Images using Modified Residual Convolutional neural networks (CNN) with improved accuracy -- Properties of Idealization Graph over a Ring -- Research Arima Model Forecasts Student's Graduation Rate -- A Home LPM System Based on WSN -- Privacy Preservation Using Network Coding Against Traffic Analysis in Wireless Network -- Optimized Back Propagation based Deep residual Learning Network Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus images -- Use Data Augmentation Model in Image Segmentation -- A prototype for Lung Cancer Forecasting Using Convolution Neural Network Method -- Utilizing Blockchain Technology for Farmer Identity Management and Land Registry Systems in Agriculture -- IoT and Big Data Analytics for Smart Healthcare 4.0 Applications -- 5G Networks with Mm Wave Communications For Enhanced Communication Range. -- Dynamic Load Balancing Schemes for Software Defined Networking (SDN) -- Symmetric Encryption Scheme Based on Fuzzy Graph -- MED-H: Smart Healthcare System Based on IoT and Rule Set -- Landscape View of Hyperparameter Optimization Cybersecurity by Using Bio-inspired Algorithm -- A Multi-hop routing with energy efficient using agglometrive hierarchical clustering using wireless sensor networks in SIOT -- A Study in Understanding the Role of Key Measures in Applying Machine Learning Models for Effective Risk Management in Banking Industry With Focus on Private Banks In India. -- A Converter Tool to Transform the Android Mobile Application into Java Codes for Software Testing -- Genetic Algorithm based Neural Network for Vegetable Price Forecasting on E-Commerce Platform: A Case Study in Malaysia -- A System for Biomedical Image Processing of Brain Tumor via Segmentation and Pattern Recognition.
    Abstract: This book gathers selected high-quality research papers presented at the Second International Conference on Intelligent System (ICIS 2023), organized by Industrial University of Ho Chi Minh City, Vietnam during September 29–30, 2023. It discusses high-quality and cutting-edge research in the areas of informatics, intelligent systems, and smart technologies and applications. The book is a collection of the latest research articles in intelligent control, artificial intelligence, neural networks, knowledge discovery, decision support systems, soft computing, data mining, and ontologies, machine learning, intelligent measurement, and other related fields.
    DOI: 10.1007/978-981-99-8976-8
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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
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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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    Sentiment Analysis and its Application in Educational Data Mining (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819724741
    Language: English
    Pages: 1 Online-Ressource(XXI, 97 p. 8 illus., 6 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Computational Intelligence
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    Keywords: Computational intelligence. ; Data mining. ; Natural language processing (Computer science). ; Machine learning.
    Abstract: Chapter 1: Sentiment Analysis in Natural Language Processing -- Chapter 2: An Overview of Educational Data Mining -- Chapter 3: Impact of Sentiment Analysis in Education Sector -- Chapter 4: Techniques and Approaches in Sentiment Analysis -- Chapter 5: Machine Learning with Sentiment Analysis -- Chapter 6: Incorporation of Sentiment Analysis with Educational Data Mining -- Chapter 7: Preformation Evaluation using Sentiment Analysis.
    Abstract: The book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data. The book begins by introducing the concept of sentiment analysis and its relevance in educational settings. It provides a thorough overview of the various techniques used for sentiment analysis, including natural language processing, machine learning, and deep learning algorithms. The subsequent chapters explore applications of sentiment analysis in educational data mining across multiple domains. The book illustrates how sentiment analysis can be employed to analyze student feedback and sentiment patterns, enabling educators to gain valuable insights into student engagement, motivation, and satisfaction. It also examines how sentiment analysis can be used to identify and address students' emotional states, such as stress, boredom, or confusion, leading to more personalized and effective interventions. Furthermore, the book explores the integration of sentiment analysis with other educational data mining techniques, such as clustering, classification, and predictive modeling. It showcases real-world case studies and examples that demonstrate how sentiment analysis can be combined with these approaches to improve educational decision-making, curriculum design, and adaptive learning systems.
    DOI: 10.1007/978-981-97-2474-1
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    Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication : MDCWC 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479427
    Language: English
    Pages: 1 Online-Ressource(XXIII, 631 p. 340 illus., 252 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Signals and Communication Technology
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Wireless communication systems. ; Mobile communication systems.
    Abstract: Part 1: Machine Learning, Deep Learning and Computational Intelligence -- Chapter 1. A novel hierarchical clustering technique to analyse style and content factorization during image recognition -- Chapter 2. Exploring Model-Level Transfer Learning to Improve the Recognition of Sinhala Speech -- Chapter 3. Metaheuristics Feature Selection Algorithms for Identification and Classification of Mango Pests Diseases -- Chapter 4. An Integrated Optimization Technique with SVM for Feature Selection -- Chapter 5. A Constant Binomial Coefficient Difference Equation Based FIR Predictor System for Signal Processing Data mining -- Chapter 6. Generating Synthetic Text Data for Improving Class Balance in Personality Prediction -- Chapter 7. CPSNet: Channel Pixel Spatial Feature Fusion Network for Image Dehazing -- Chapter 8. ATCBBC: A novel optimizer for neural network Architectures -- Chapter 9. Application of Dempster-Shafer Theory in Sensor Data Fusion -- Chapter 10.Examining Ant Colony Algorithm with The Cat Swarm Algorithm to Improve Energy Efficiency -- Chapter 11. Machine Learning based Online Visual Tracking with Multi-featured Adaptive Kernal Correlation filter -- Part 2: Wireless Communication -- Chapter 12. Integrating long-short term memory and particle swarm optimization for intrusion detection in 5G technologies -- Chapter 13. Performance Analysis of Polar Decoding Using Linear Code Mapping with Feedback Based Ann Architecture -- Chapter 14. Packet Classification Using Improved Random Forest Algorithm -- Chapter 15. A Machine Learning Perspective of optimal data transmission in Wireless Sensor Networks (WSN) -- Chapter 16. Blockchain and IPFS based solution for KYC -- Chapter 17. Analysis and Comparison of BER Performance of OFDM-IM under various fading channels using Conventional Detectors -- Chapter 18. A Survey of Non-Orthogonal Multiple Access for Internet of Things and Future Wireless Networks -- Chapter 19. Improved 3D Wireless Indoor Localization with Deep Learning Algorithms -- Chapter 20. Implementing Machine Learning for design and evaluation of Antenna Parameters -- Chapter 21. A MIMO dual mode homogenous OFDM IM system for next-generation communications -- Chapter 22. Probability Boosted Regression for Intrusion Detection in Cyber active Space -- Part 3: Mobile data application -- Chapter 23. Surface Water-body Extraction for Landsat-8 (OLI) Imagery using Water-Indices Methods and SCM Techniques -- Chapter 24. Automated Age-related Macular Degeneration Diagnosis in Retinal Fundus Images via ViT -- Chapter 25. Traffic Light Simulation Using ALP -- Chapter 26. DNN-ILD: A Transfer Learning-based Deep Neural Network for Automated Classification of Interstitial Lung Disease from CT Images -- Chapter 27. Image Manipulation Detection using Augmentation and Convolutional Neural Networks -- Chapter 28. Smart Women Safety Solution with Alert System Using Machine Learning Approach -- Chapter 29. Cyberbullying Detection Using BILSTM Model -- Chapter 30. Smart Agriculture using Internet of Things -- Chapter 31. Breast Cancer Detection from Mammograms using Deep Learning and Bio-Inspired Optimization Algorithm -- Chapter 32. Detection of Echinoderms Underwater using Deep Learning Network -- Chapter 33. Malaria Parasite Detection Using Deep Learning -- Chapter 34. FiltDeepNet: Architecture for Covid Detection based on Chest X-ray Images -- Chapter 35. Novel approaches to Automatic License Plate Reading (ALPR) -- Chapter 36. Crop Prediction Expert System with Ensemble Machine Learning Technique -- Chapter 37. A Comparative Analysis of Single Image-Based Face Morphing Attack Detection -- Chapter 38. Classifiers For Sentiment Analysis of Youtube Comments - A Comparative Study -- Chapter 39. Traffic Monitoring System Detecting Overspeed and Accidents from Video Input using OpenCV and Digital Image Processing -- Chapter 40. An experimental comparative analysis of human abnormal action identification on “SAIAZ” video dataset using SVM, ResNet50, and LSTM model -- Chapter 41. Comparative study on malicious URL using classifiers and boosting algorithms -- Chapter 42. Automation in Natural Rubber Latex Harvesting Field: A Review -- Chapter 43. Feature Selection based Machine Learning Model for Malware Detection -- Chapter 44. Application of Machine learning algorithm for prediction of Diabetes and Heart diseases -- Chapter 45. Damage Detection on Historical Structure using Image Processing -- Chapter 46. Eye Disease Classification Using VGG-19 Architecture -- Chapter 47. Automatic Photo Enhancer Using Machine Learning and Deep Learning with Python -- Chapter 48. Robust Touch Free Palm Vein Sensor Authentication System -- Chapter 49. An Effective Machine Learning-based Malware Detection Approach -- Chapter 50. Exploring The Performance of Various Classification Algorithms for Masked Face Recognition Using Cnn Based Features -- Chapter 51. Chess Game using Assembly Language Programming -- Chapter 52. Deep Artificial neural Network for Software Effort Estimation -- Chapter 53. ‘Legal Owl’, An Application for Machine Generated Legal Aid Using NLP.
    Abstract: This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held during June 22-24th, 2023, at the National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine learning, Deep learning and Computational intelligence algorithms (b) Wireless communication systems and (c) Mobile data applications. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry. Presents research works in various fields of computational intelligence and machine learning; Discusses results of MDCWC 2023 held at National Institute of Technology Tiruchirappalli, India; Serves as a reference for researchers and practitioners in academia and industry.
    DOI: 10.1007/978-3-031-47942-7
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    Intelligent Autonomous Systems 18 : Volume 1 Proceedings of the 18th International Conference IAS18-2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031448515
    Language: English
    Pages: 1 Online-Ressource(XVII, 654 p. 341 illus., 319 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 795
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Industrial engineering. ; Production engineering.
    Abstract: Proposition of Augmenting V2X Roadside Unit to Enhance Cooperative Awareness of Heterogeneously Connected Road Users -- Global Map Generation Using Local Feature Grid Maps for Autonomous Vehicles in Frequently Changing Off-Road Environments -- Revisiting the Minimum Constraint Removal Problem in Mobile Robotics -- RCBEVD: Radar-Camera Fusion in Bird’s Eye View for Detection with Velocity Estimation -- Enhancing Navigational Performance with Holistic Deep-Reinforcement-Learning -- Automatic Lane Change Using Adaptive Grid Map -- Haptic Field and Force Feedback Generation for Wheeled Vehicle Teleoperation on 2.5D Environments -- Factor Graph-based Dense Mapping for Mobile Robot Teams using VDB-Submaps -- System Architecture and Real-World Task Realization of Musculoskeletal Wheeled Robot Musashi-W with Various Hardware Components -- Improvement of Position Error Rate of Docking of Autonomous Mobile Robot with Object Recognition and Ultrasonic Sensor -- MOVRO: Loosely Coupled EKF-Based Monocular Visual Radar Odometry -- Ant-Colony-Inspired Grid Graph Optimization for Improving Logistic Performance of Multi-AMR Systems -- Trajectory Planning of Mobile Robot for Obstacle Avoidance Considering Time and Path Length -- Action Transition Recognition Using Principal Component Analysis for Agricultural Robot Following -- Use of LiDAR and GNSS for Collision Avoidance-Based Adaptive Path Tracking in a Racing Robot -- A Study on Quantifying Sim2Real Image Gap in Autonomous Driving Simulations Using Lane Segmentation Attention Map Similarity.
    Abstract: Intelligent autonomous systems are increasingly being applied in various fields, ranging from industrial applications to professional services and household domains. These advancements in technology and application domains have brought forth the need for continuous research and development to address new challenges in deploying intelligent autonomous systems in a reliable and user-independent manner. This book is a compilation that aims to serve researchers and practitioners in related fields by providing a timely dissemination of recent progress in the areas of autonomous mobility and robotics. The contents of this book are based on a collection of papers presented at the 18th International Conference on Intelligent Autonomous Systems (IAS18 2023), held at the Suwon Convention Center in Suwon, Korea. The conference took place fully in person from July 4 to 7, 2023, with the theme “Impact and Effect of AI on Intelligent Autonomous Systems.” It encompassed discussions on theories, applications, and creative innovations in intelligent autonomous systems, covering topics such as autonomous vehicles, intelligent agents, smart sensors and actuators, smart haptics, human–machine interaction, digital twin, digital health, and metaverse, VR, AR, or MR. For ease of reading, the 91 papers have been grouped into five chapters: Chapter 1: Intelligent Autonomous Vehicles; Chapter 2: Autonomous Robots; Chapter 3: Intelligent Perception and Sensors; Chapter 4: Data Fusion and Machine Learning for Intelligent Robots; and Chapter 5: Applied Autonomous Systems. The articles included in this book underwent a rigorous peer-review process and were presented at the IAS18-2023 conference. For researchers working in the field of intelligent autonomous systems technology, we believe this book provides valuable insights into recent advances in autonomous technologies and applications, thereby enriching their studies. We extend our heartfelt thanks to all the authors and editors who contributed to this edition.
    DOI: 10.1007/978-3-031-44851-5
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    Innovative Technologies for Enhancing Experiences and Engagement (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555589
    Language: English
    Pages: 1 Online-Ressource(VIII, 133 p. 33 illus., 25 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Applied Sciences and Technology
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence.
    Abstract: Systematic Review of Road Traffic Regulation Compliance -- Bibliometrics Analysis on Research Related to Social Media Addiction During the Pandemic Covid-19 -- Integrating a Grounded Theory and a Case Study Concept in Green Logistics -- Automotive Industry Perspectives of Green Skills in the Skill Dimension Towards Sustainability -- Performance of a New Hybrid Conjugate Gradient Method -- Intervention of Modern Ergonomic Design in Ergonomics Risk Assessment Study Among Dentists -- A Review of the Literature on Real-time Location Systems (RTLS) in Manufacturing -- Simulating Covid-19 Disease Spread Using Gama Platform to Determine How Disease Prevention Influences the Infection Rate of the Disease -- Revolutionising the Tourism Industry: The Role of Innovative Technologies in Enhancing Tourist Experiences -- Revolutionizing Supply Chain Processes: Harnessing the Power of IoT and Blockchain Technology to Enhance Opportunities -- Development of a Smart Garbage Monitoring System -- An ExploratoryFactors Analysis Study on Current Value-Added Activities for Customer at Hypermarket During Covid-19" -- A Framework of Material Management for A Construction Project in Tanah Merah -- Development of a Paperless Prototype System for Medical Inventory Management: A Case Study in a Malaysian Hospital -- Development of a Student Loyalty Model for TVET Higher Learning Institution (HLI) with Integration of Service Quality, Corporate Image and Satisfaction Using the PLS-SEM Approach.
    Abstract: The book showcases how the technologies are transforming entertainment, education, and professional training, offering readers real-world examples of their applications. "Innovative Technologies for Enhancing Experiences and Engagement" is an enlightening guide that reveals how emerging technologies are shaping our world, offering insights into the evolving digital landscape and inspiring a future of more personalized, immersive, and engaging experiences.
    DOI: 10.1007/978-3-031-55558-9
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    Digital Transformation : Technology, Tools, and Studies (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031559525
    Language: English
    Pages: 1 Online-Ressource(XI, 262 p. 77 illus., 73 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 253
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: This book presents a multidisciplinary approach to digital transformation process of organizational transformation, offering support throughout the implementation process to all those interested. The digital transformation (DT) is a priority for many companies in the context of technological evolution. The use of appropriate tools, methodologies, methods, approaches, and techniques for DT, depending on the organizational characteristics, can contribute to a complete approach to organizational processes and to their efficiency. Digital transformation involves the adoption and use of new digital technologies to develop new products and services, modify existing ones and develop new business models to increase efficiency, productivity, and competitiveness. Starting from marketing to culture and education to health, automotive, engineering, mobility and human resources and others, it is addressed to professionals, practitioners, researchers, students, and other interested parties.
    DOI: 10.1007/978-3-031-55952-5
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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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    Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819719877
    Language: English
    Pages: 1 Online-Ressource(XIV, 220 p. 69 illus., 25 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1148
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Natural language processing (Computer science).
    Abstract: This book emphasises the need for language resource development and its impact on society. It covers latest AI based tools and techniques used to preserve indigenous and endangered languages. The book also highlights latest AI based technologies such as Generative Pre-trained Transformer (GPT) towards endangered language preservation. It discusses morphology analysis, translation support and shallow parsing of various tribal languages of India and abroad. This book tries to answer how digital technologies can make language revitalization accessible to future generations.
    DOI: 10.1007/978-981-97-1987-7
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    Transforming Public Services—Combining Data and Algorithms to Fulfil Citizen’s Expectations (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555756
    Language: English
    Pages: 1 Online-Ressource(VIII, 239 p. 69 illus., 39 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 252
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Digital Transformation of public services: Introduction, Current Trends and Future -- Enhancing Citizen Satisfaction Using Citizen-Facing Process Mining -- Thinking inside the Sandbox: Beyond public services digitalization with co-production -- Thinking inside the Sandbox: Beyond public services digitalization with co-production -- Usage of Modern API for automization of Government procedures -- Epidemiology inspired Cybersecurity Threats Forecasting Models applied to e-Government -- The provision of e-services by public administration bodies and their cybersecurity -- The provision of e-services by public administration bodies and their cybersecurity -- Fuzzy Logic Architecture for Availing the E-Governance Health Care Services by Rural Citizens -- Enhancing the efficiency and the security of e-Government: the French case study of human resources applications.
    Abstract: This book provides a precise portrayal of the current trends and future perspectives of e-Government. It outlines new approaches that optimize public services across diverse sectors. Going beyond traditional boundaries, it offers mathematical models for public services supported by convincing case studies. This book significantly enhances various government services, such as education, healthcare, safety, security, and culture. It also strongly emphasizes safeguarding citizens' personal data, ensuring privacy, and obtaining explicit consent. Tailored for students and academics, the book is an invaluable reference for teaching graduate courses in e-Government, Process Modelling, or Artificial Intelligence. Its impact extends beyond the classroom; civil servants from all domains can find practical insights to navigate the ongoing modernization of public services. Even citizens curious about the transformation in their public services can find this book enlightening. Researchers working in the area of e-Governance can use this book to discover the recent developments in e-Government.
    DOI: 10.1007/978-3-031-55575-6
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    Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031602276
    Language: English
    Pages: 1 Online-Ressource(XXI, 310 p. 130 illus., 94 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 989
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering ; Application software.
    Abstract: Implementing Scaled Agile Framework Methodology Principles in the Quality Assurance Process -- Using Knowledge Graph And Kd Tree Random Forest For Image Retrieval -- Blockchain in the Portuguese public electronic service -- Social Media Use How is critical consumption of news impacting voting persuasion in Angola -- Exploring the Performance of Large Language Models for Data Analysis Tasks through the CRISP DM Framework -- Analyzing Project Managers Organizational Commitment A Big Data Approach to Understanding Managerial Engagement -- Low cost system for monitoring water quality parameters in lentic and lotic ecosystems -- A Unified Approach to Real Time Public Transport Data Processing.
    Abstract: This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.
    DOI: 10.1007/978-3-031-60227-6
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    Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031602245
    Language: English
    Pages: 1 Online-Ressource(XXI, 218 p. 66 illus., 55 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 988
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering ; Application software.
    Abstract: Heuristics For Designing Pervasive Game Experiences In The Older Adult Population -- Mental Stress Analysis during Visual and Text based Language Learning by Measuring Heart Rate Variability -- The challenges of learning assessment in the age of artificial intelligence -- OqKay A Semi automatic System Approach to Question Extraction -- Building and Analyzing an Open Educational Resource Repository on the Inovaula Platform -- L and D model of information technology application for distance teaching and learning in physical education at technical university -- Maximising Attendance in Higher Education How AI and Gamification Strategies Can Boost Student Engagement and Participation -- Psychometric properties of a scale designed to assess satisfaction and continued intention to utilize e learning among nutrition sciences students -- Software testing in Ecuadorian University Education A debt to the Software Industry -- Examining the Digital Gap Pre service Teachers Needs and Expectations.
    Abstract: This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.
    DOI: 10.1007/978-3-031-60224-5
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    Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy : ICAIS 2024, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031614712
    Language: English
    Pages: 1 Online-Ressource(XII, 531 p. 273 illus., 205 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Information Systems Engineering and Management 3
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1. A Hybrid Machine Learning Approach for Enhanced Prediction of Breast Cancer with Lasso Method for Feature Extraction -- Chapter 2. A Comparative Overview of Deep Learning Aided Image Generation. Chapter 3. Enhancing Pneumonia Detection in Chest X-Rays: A Combined GAN and CNN Approach -- Chapter 4. A Data Driven AI Framework for Conversational Bot by Vision Transformers in Health Care Systems -- Chapter 5. Predictive Modelling of Cardiac Disease: Enhancing Accuracy through Machine Learning Algorithms and Borderline-SMOTE Technique -- Chapter 6. An AI-Driven Model for Decision Support Systems -- Chapter 7. Exploring Music Genres through Facial Emotions: Intelligent Data Processing and Machine Learning -- Chapter 8. Optimizing Cloud Task Scheduling through Innovative Metaheuristic Algorithm and Impulsive Fuzzy C-Means -- Chapter 9. Cirrhosis Patient Survival Prediction Analysis using Ml Algorithms -- Chapter 10. Learnable Discrete Wavelet(LDW) Pooling in CNN for Multidisciplinary Disease Prediction in Healthcare -- Chapter 11. Autonomous Human Computer Interaction System in Windows Environment using YOLO and LLM -- Chapter 12. Deep Learning based Animal Intrusion Detection System -- Chapter 13. Sustainable Crop Monitoring and Management for Enhanced Agricultural Productivity through IoT, AI & ML: Case Studies and Innovations -- Chapter 14. Design of an Auto Evaluation Model for Subjective Answers using Natural Language Processing and Machine Learning Techniques -- Chapter 15. Navigating the Radiological Landscape: A Cutting-Edge Hybrid VGG16-EfficientNet Model for Improved CT Scan Interpretation -- Chapter 16. Optimized Scene Text Detector and Paddle Optical Character Recognizer Techniques to Extract Text from Images -- Chapter 17. A Cost-Sensitive Sparse Auto-Encoder based Feature Extraction for Network Traffic Classification using CNN.-....etc.
    Abstract: This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.
    DOI: 10.1007/978-3-031-61471-2
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    Smart Technologies for a Sustainable Future : Proceedings of the 21st International Conference on Smart Technologies & Education. Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031619052
    Language: English
    Pages: 1 Online-Ressource(XIX, 439 p. 187 illus., 154 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 1028
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering ; Cooperating objects (Computer systems). ; Industrial engineering. ; Production engineering.
    Abstract: A Machine Learning framework for improving Resources Process and Energy efficiency towards a Sustainable Steel Industry -- Overall Writing Effectiveness Exploring Students Use of Large Language Models Pushing the Limits of Automated Text Generation -- Evaluating Room Occupancy with CO2 Monitoring in Schools A Student Participative Approach for Presence Based Heating Control -- Data driven Mobility And Transport Planning In Municipalities Smart Solutions For Limited Resources -- Investigating the Effect of Personal Emotional Score Display on Classroom Learning.
    Abstract: This book includes the proceedings of the 21st International Conference on Smart Technologies & Education (STE2024). The “International Conference on Smart Technologies & Education” (STE) is an annual global meeting dedicated to the fundamentals, applications, and experiences in the field of Smart Technologies, Online, Remote, and Virtual Engineering, Virtual Instrumentation, and other related new technologies. Nowadays, online and smart technologies are the core of most fields of engineering and the whole society. Consequently, the motto of this year’s STE2024 was “Smart Technologies for a Sustainable Future”. The STE conference is the successor of the long-standing annual REV Conferences and the annual meeting of the International Association of Online Engineering (IAOE) together with the EduNet World Association (EWA) and the International Education Network (EduNet). In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation, and other related new technologies like Cross Reality, Open Science and Big Data, Internet of Things and Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M and Smart Objects. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs and MOOLs, and Open Resources. This year, STE2024 has been organized in Helsinki, Finland as an onsite event supporting remote presentations, from March 6 until March 8, 2024. The co-organizers of STE2024 were the Arcada University of Applied Sciences, the International Association of Online Engineering (IAOE) together with the Global Online Laboratory Consortium (GOLC), the International Education Network (EduNet), and the EduNet World Association (EWA). STE2024 has attracted 140 scientists and industrial leaders from more than 40 countries.
    DOI: 10.1007/978-3-031-61905-2
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    Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control : Swarm Control Technologies (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819733286
    Language: English
    Pages: 1 Online-Ressource(X, 715 p. 299 illus., 251 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1205
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Signal processing. ; Computational intelligence. ; Multiagent systems. ; System theory. ; Control theory.
    Abstract: This book includes original, peer-reviewed research papers from the 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2023), held in Nanjing, China on November 17-19, 2023. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.
    DOI: 10.1007/978-981-97-3328-6
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    Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819713202
    Language: English
    Pages: 1 Online-Ressource(XVII, 518 p. 206 illus., 152 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 945
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Chapter 1: Cancer Classification using Gene Expression Data -- Chapter 2: A Three-Phase Heart Rate Variability Analysis for Assessing Cardiac Health Deterioration in Diabetics -- Chapter 3: RIGHT TO BE FORGOTTEN: A HUMAN RIGHTS BASED APPROACH FOR GOVERNANCE IN GENERATIVE AI -- Chapter 4: "Correlation of Emotional Intelligence and Perceived Stress: A Comprehensive Analysis" -- Chapter 5: Use of CNNs for Estimating Depth from Stereo Images -- Chapter 6: An AI and IoT Based Smart Green Home Sustainability -- Chapter 7: Automated Gym Exercise Form Checker: Deep-Learning Based Pose Estimation -- Chapter 8: Virtual Reality Based Pedagogical Framework for Design Education -- Chapter 9: Routing strategies for Quality of Service Optimization over Vehicular Ad-hoc Networks: A Review -- Chapter 10: A Review of Plant Classification using Deep Learning Models. etc.
    Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
    DOI: 10.1007/978-981-97-1320-2
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    Fuzzy Cognitive Maps : A Tool for the Modeling and Simulation of Processes and Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031379598
    Language: English
    Pages: 1 Online-Ressource(XVII, 133 p. 33 illus., 6 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Fuzziness and Soft Computing 427
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction to Fuzzy Cognitive Maps -- Systemic Relationships Between Regional Sustainability and Waste Management -- Identification of the Main Factors (Concepts) of Waste Management for Building the Initial FCM Model -- Rethinking the Set of Concepts - Applying Expert Analysis by the Workshop Method -- Model Reduction Methods -- Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series -- Behavioral Analysis of Fuzzy Cognitive Maps -- Fuzzy Cognitive Maps: Mathematical Challenges -- Dynamics of Classical Fuzzy Cognitive Maps -- Dynamics of Fuzzy Cognitive Maps with Uncertain Weights.
    Abstract: This book is considered as a monograph but also as a potential textbook for graduate students, focusing on the application of FCMs for modelling and analysing the behaviour of multicomponent systems. In the last two decades, no monograph or textbook has been published on the topic Fuzzy Cognitive Maps (FCM), so this new book is definitely filling a gap in the literature of computational intelligence. The book is built up didactically, the novel results in the field being presented in the way of starting with two real-life case studies, one in the area of waste management, while the other one in modelling bank management systems. In both cases, the book starts with explaining the applied problem and then presenting how the model construction is done and what problems emerge when attempts are made for applying directly earlier results on FCM modelling. In the first case study, the problem of the oversimplification leads to inadequacy of the model, and then it is shown how new, much finer models can be built up based on expert domain knowledge. Then, the new problem of losing transparency and interpretability emerges, and as a solution, a new algorithm family is proposed that reduces FCMs to fewer components, while preserving the essential characteristics of the original model. The second case study raises the problems of stability and sensitivity of FCMs, especially, considering that expert knowledge is often uncertain and subjective. The new results summarised in the book target the questions of how to ascertain whether an FCM is converging to one or several fixed point attractors, whether there is a bifurcation when parameters are changing, etc. Both problems deal with the ultimate question whether the system modelled is stable and sustainable.
    DOI: 10.1007/978-3-031-37959-8
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    12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022) : Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031515217
    Language: English
    Pages: 1 Online-Ressource(XV, 402 p. 118 illus., 67 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 718
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Industrial engineering. ; Production engineering.
    Abstract: This book presents the first volume of the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others. The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.
    DOI: 10.1007/978-3-031-51521-7
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    Towards a Hybrid, Flexible and Socially Engaged Higher Education : Proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031519796
    Language: English
    Pages: 1 Online-Ressource(XVIII, 553 p. 145 illus., 122 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 899
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Education
    Abstract: This book contains papers in the fields of collaborative learning, digital transition in education, and AI and learning analytics in engineering education. The authors are currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary education. To face these challenges, higher education must find innovative and effective ways to respond in a proper way. The pandemic period left us with profound changes in the way we teach and learn, including the massive use of new means of communication, such as videoconferencing and other technological tools. Moreover, the current explosion of artificial intelligence tools, mainly used by students, is challenging teaching practices maintained for centuries. Scientifically based statements as well as excellent best practice examples are absolutely necessary. The 26th International Conference on Interactive Collaborative Learning (ICL2023), which took place in Madrid, Spain, between September 26 and 30, 2023, was the perfect place where current trends in higher education were presented and discussed. Since its beginning in 1998, this conference has been devoted to new approaches in learning with a focus on collaborative learning in higher education. Nowadays, the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in learning and engineering pedagogy. In this way, the authors try to bridge the gap between ‘pure’ scientific research and the everyday work of educators. Interested readership includes policy makers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc.
    DOI: 10.1007/978-3-031-51979-6
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477157
    Language: English
    Pages: 1 Online-Ressource(XII, 873 p. 335 illus., 274 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 824
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47715-7
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  • 79
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477188
    Language: English
    Pages: 1 Online-Ressource(XII, 905 p. 448 illus., 340 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 825
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47718-8
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  • 80
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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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  • 81
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    Information Systems and Technologies : WorldCIST 2023, Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031456510
    Language: English
    Pages: 1 Online-Ressource(XXI, 454 p. 124 illus., 108 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 802
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Application software.
    Abstract: Twitter News Networks: the Story of Portugal and the Philippines -- Multidimensional and Multilingual Emotional Analysis -- Explaining Wikipedia page similarity using network science -- ESG in advertising narratives: Case analysis of Golden Lion winning campaigns at Cannes 2022 -- The digitalization of the event industry – mobile and internet applications as a tool to improve event communication and experiences: A case study of a French event app start-up -- A Digital Marketing Plan for a Pateo House in Alentejo -- Integrating online and offline distribution strategies – a Portuguese case study -- The city makes its mark in a review on digital communication and citizenship -- The Influence of In-store Music on the Consumer's Shopping Experience -- Marketing Plan for an Online Business: A Case Study.
    Abstract: This book is composed of a selection of articles from the 11st World Conference on Information Systems and Technologies, held between 4 and 5 of April 2023, at Sant'Anna School of Advanced Studies, in Pisa, Italy. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications, and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility, and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers, and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.
    DOI: 10.1007/978-3-031-45651-0
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  • 82
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    Human-Centric Smart Computing : Proceedings of ICHCSC 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819977116
    Language: English
    Pages: 1 Online-Ressource(XXX, 703 p. 307 illus., 254 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 376
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Artificial intelligence ; Computer networks
    Abstract: Registration of CT Images of Lung Using Fireworks Algorithm -- Exploring Microinteractions in Human–Computer Interaction: Design Principles, Types, and User Experience -- Opinion Mining-Based Predictive Model Based on Social Media Responses -- Quantifying the Impact and Growth of Smart Innovation, Systems and Technology: A Bibliometric Approach Mapping the Research Landscape Over 12 Years -- Decomposition into Multi-Objective Fronts: A Pivot-Based Deterministic Non-dominated Sorting Approach -- Currency Recognition App for Blind People.
    Abstract: This book includes high-quality research papers presented at the Second International Conference on Human-Centric Smart Computing (ICHCSC 2023), organized by the University of Engineering and Management, Jaipur, India, on 5–6 July 2023 in New Delhi, India. The topics covered in the book are human-centric computing, hyper connectivity, and data science. The book presents innovative work by leading academics, researchers, and experts from industry.
    DOI: 10.1007/978-981-99-7711-6
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  • 83
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    Towards a Hybrid, Flexible and Socially Engaged Higher Education : Proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031533822
    Language: English
    Pages: 1 Online-Ressource(XVIII, 531 p. 137 illus., 108 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 911
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Education
    Abstract: We are currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary education. To face these challenges, higher education must find innovative and effective ways to respond in a proper way. The pandemic period left us with profound changes in the way we teach and learn, including the massive use of new means of communication, such as videoconferencing and other technological tools. Moreover, the current explosion of artificial intelligence tools, mainly used by students, is challenging teaching practices maintained for centuries. Scientifically based statements as well as excellent best practice examples are absolutely necessary.The 26th International Conference on Interactive Collaborative Learning (ICL2023), which will take place in Madrid, Spain, between 26th and 30th September 2023, will be the perfect place where to present and discuss current trends in Higher Education. Since its beginning in 1998 this conference is devoted to new approaches in learning with a focus on collaborative learning in Higher Education. Nowadays the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in Learning and Engineering Pedagogy. In this way we try to bridge the gap between ‘pure’ scientific research and the everyday work of educators.
    DOI: 10.1007/978-3-031-53382-2
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  • 84
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    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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  • 85
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    Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031452529
    Language: English
    Pages: 1 Online-Ressource(XX, 267 p. 43 illus., 41 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advances in Industrial Control
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Engineering mathematics. ; Engineering ; Computational intelligence. ; Automotive engineering.
    Abstract: 1. Introduction -- 2. Background on Integral and Inverse Reinforcement Learning for Dynamic System Feedback -- 3. Integral Reinforcement Learning for Optimal Regulation -- 4. Integral Reinforcement Learning for Optimal Tracking -- 5. Integral Reinforcement Learning for Nonlinear Tracker -- Integral Reinforcement Learning for H-infinity Control -- 6. Inverse Reinforcement Learning for Linear and Nonlinear Systems -- 7. Inverse Reinforcement Learning for Two-Player Zero-Sum Games -- 8. Inverse Reinforcement Learning for Multi-player Nonzero-sum Games.
    Abstract: Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement learning (RL) achieves model-free control without system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverse optimization and optimal control, imitation learning and autonomous driving among other areas. Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging selection of examples. The book equips practitioners working in various domains – aircraft, robotics, power systems, and communication networks among them – with theoretical insights valuable in tackling the real-world challenges they face.
    DOI: 10.1007/978-3-031-45252-9
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    Advances in Information and Communication : Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031540530
    Language: English
    Pages: 1 Online-Ressource(XIII, 709 p. 283 illus., 225 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 921
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication.
    Abstract: Cognitive Programming Assistant -- Correcting User Decisions Based on Incorrect Machine Learning Decisions -- On Graphs Defined by Equations and Cubic Multivariate Public Keys -- System Tasks of Digital Twin in Single Information Space -- Smart City, Big Data, Little People: A Case Study on Istanbul’s Public Transport Data -- Educommunication as a Communicative Strategy for the Dissemination of Cultural Programs -- On Implemented Graph-based Generator of Cryptographically Strong Pseudorandom Sequences of Multivariate Nature -- Fengxiansi Cave in the Digital Narrative -- Lambda Authorizer Benchmarking Tool with AWS SAM and Artillery Framework -- Hardware and Software Integration of Machine Learning Vision System Based on NVIDIA Jetson Nano.
    Abstract: The book is a valuable collection of papers presented in the Future of Information and Communications Conference (FICC), conducted by Science and Information Organization on 4–5 April 2024 in Berlin. It received a total of 401 paper submissions out of which 139 are published after careful double-blind peer-review. Renowned and budding scholars, academics, and distinguished members of the industry assembled under one roof to share their breakthrough research providing answers to many complex problems boggling the world. The topics fanned across various fields involving Communication, Data Science, Ambient Intelligence, Networking, Computing, Security, and Privacy.
    DOI: 10.1007/978-3-031-54053-0
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  • 87
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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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    Session-Based Recommender Systems Using Deep Learning (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031425592
    Language: English
    Pages: 1 Online-Ressource(XIX, 301 p. 99 illus., 71 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Information storage and retrieval systems. ; Artificial intelligence. ; Quantitative research.
    Abstract: 1. Introduction to Session-Based Recommender Systems -- 2. Deep Learning Overview -- 3. Deep Discriminative Session-Based Recommender Systems -- 4. Deep Generative Session-Based Recommender Systems -- 5. Hybrid/Advanced Session-Based Recommender Systems -- 6. Learning to Rank in Session-Based Recommender Systems.
    Abstract: This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied. The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the characteristics and applications of each class are discussed separately. The second chapter starts with the basic concepts of deep learning and the characteristics of each model. Then, each deep learning model, along with its architecture and mathematical foundations, is introduced. Next, chapter 3 analyses different approaches of deep discriminative models in session-based recommender systems. In the fourth chapter, session-based recommender systems that benefit from deep generative neural networks are discussed. Subsequently, chapter 5 discusses session-based recommender systems using advanced/hybrid deep learning models. Eventually, chapter 6 reviews different learning-to-rank methods focusing on information retrieval and recommender system domains. Finally, the results of the investigations and findings from the research review conducted throughout the book are presented in a conclusive summary. This book aims at researchers who intend to use deep learning models to solve the challenges related to SBRS. The target audience includes researchers entering the field, graduate students specializing in recommender systems, web data mining, information retrieval, or machine/deep learning, and advanced industry developers working on recommender systems.
    DOI: 10.1007/978-3-031-42559-2
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    Cooperative Control of Multi-agent Systems : A Hybrid System Approach (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819709687
    Language: English
    Pages: 1 Online-Ressource(XIV, 224 p. 65 illus., 63 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; System theory. ; Control theory. ; Mathematics. ; Computational intelligence.
    Abstract: 1 Introduction -- 2 Sampled-Data Consensus Control of MAS with Time Delay -- 3 Sampled-Data Consensus Control of MAS with Packet Losses -- 4 Sampled-Data Consensus Control of MAS under Switching Network -- 5 Output Feedback Sampled-Data Control of MAS -- 6 Hybrid Event-Triggered Bipartite Consensus of MAS -- 7 Hybrid Event-Triggered Consensus of MAS with Time Delay -- 8 Hybrid Event-Triggered Consensus of MAS with Packet Losses -- 9 Sampled-Data Based Reset Control of MAS -- 10 Event-Based Reset Control of MAS -- 11 Reset Observer Based Event-Triggered Control of MAS.
    Abstract: This book focuses on stability analysis and control design approaches for multi-agent systems under network-induced constraints. A hybrid system approach is introduced to address the cooperative control problem of networked multi-agent systems, and several important topics such as asynchronous sampled data cooperative control, hybrid event-triggered cooperative control, and reset-based cooperative control are studied under the hybrid system framework. The special feature of this book is that a hybrid systems approach is proposed for the cooperative control of multi-agent systems, which is beneficial for relaxing the conservativeness of stability analysis and network parameter computation. Interested readers can learn a novel approach to cooperative control of multi-agent systems, and this book can benefit researchers, engineers, and graduate students in the fields of multi-robot cooperation, unmanned aerial vehicle formation, control engineering, etc.
    DOI: 10.1007/978-981-97-0968-7
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    Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522802
    Language: English
    Pages: 1 Online-Ressource(XI, 675 p. 72 illus., 61 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 144
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Welcome to the Age of ChatGPT -- The Coming ChatGPT -- Exploring the Interpretability of Sequential Predictions through Rationale Model -- AI in Education: An Overview -- Adopting the Power of AI Chatbots for Enriching Students Learning in Civil Engineering Education: A Study on Capabilities and Limitations -- Revolutionizing Education of Art and Design through ChatGPT -- ChatGPT-Artificial Intelligence Studies of Business Analytics Adoption and Usage.
    Abstract: This book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education. ChatGPT is a large language model developed by OpenAI that has the ability to generate human-like text based on a prompt. This has significant potential for use in the field of education, as it allows for the creation of personalized, interactive learning experiences, automating assessment and grading, and more. In e-learning, ChatGPT is used to provide instant feedback and support to students, as well as generate interactive conversations in the target language for language learning. It is also integrated with existing learning management systems and educational technology platforms to enhance their capabilities. In research, ChatGPT is used for natural language processing and sentiment analysis to gather insights on student learning experiences and educational outcomes. However, it is important to note that there are also ethical and privacy concerns that come with using language models like ChatGPT in education, such as data protection and the potential for bias. Overall, the use of ChatGPT in education has the potential to revolutionize the way we learn, teach, and access information. The book seeks to publish original manuscripts that cover a broad range of topics, from the development of new chatbot technologies and their integration into the classroom, to the examination of the ethical and pedagogical implications of these systems. By compiling the latest developments in the field and highlighting new areas for exploration, this book provides valuable insights and perspectives for researchers, educators, and practitioners working in the field of ChatGPT and education. The ultimate goal is to advance the understanding of ChatGPT and its role in education and to promote its effective and responsible use in the classroom and beyond.
    DOI: 10.1007/978-3-031-52280-2
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    Data Intelligence and Cognitive Informatics : Proceedings of ICDICI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819979622
    Language: English
    Pages: 1 Online-Ressource(XIII, 586 p. 313 illus., 247 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Internet of things. ; Cooperating objects (Computer systems).
    Abstract: The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2023), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during June 27–28, 2023. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.
    DOI: 10.1007/978-981-99-7962-2
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  • 92
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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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  • 93
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    Soft Computing and Signal Processing : Proceedings of 6th ICSCSP 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819986286
    Language: English
    Pages: 1 Online-Ressource(XXXII, 629 p. 289 illus., 225 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 864
    Parallel Title: Erscheint auch als
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    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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  • 94
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    AI and Neuro-Degenerative Diseases : Insights and Solutions (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031531484
    Language: English
    Pages: 1 Online-Ressource(VI, 181 p. 35 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1131
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Abstract: 1. Demystifying: The Role of Artificial Intelligence in Neurodegenerative Diseases -- 2. Role Of Artificial Intelligence and Internet of Things in Neurodegenerative Diseases -- 3. Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases -- 4. Clinical Genomics to Drug Discovery Using Machine Learning for Neurodegenerative disorders: A Future Perspective -- 5. Amyotrophic Lateral Sclerosis (ALS) Monitoring using Explainable AI -- 6. Prevalence of Dementia in India -- 7. Exploring AI's Role in Managing Neurodegenerative Disorders: Possibilities and Hurdles -- 8. Artificial Intelligence in Neuro Degenerative Diseases: Opportunities and Challenges -- 9. Ethical considerations: Case Scenarios.
    Abstract: This book explores the current state of healthcare practice and provides a roadmap for harnessing artificial intelligence (AI) and other modern cognitive technologies for neurogenerative diseases. The main goal of this book is to look at how these techniques can be used to classify patients with neurodegenerative diseases by extracting data from multiple modalities. It demonstrates that the growing development of computer-aided diagnosis systems has a lot of potential to help with the diagnostic process. It offers an analysis of the prospective and perils in implementing such state of the art. Progressive brain disorders with a high prevalence in the general population include Parkinson's disease, Alzheimer's disease and other types of dementia, Huntington's disease, and motor neuron disease. Worldwide, it is estimated that 33 million people have Alzheimer's disease, and 10 million people have Parkinson's disease. The global health economy is significantly impacted by these disorders, which affect both the patient and the caregivers. Various diagnostic techniques are used for differential diagnoses, such as brain imaging, EEG analysis, molecular analysis, and cognitive, psychological, and physical examination. The book aims to develop effective treatments, enhance patient quality of life, and extend life expectancy. It focuses on novel artificial intelligence approaches to clarify the pathogenesis of neurodegenerative disorders and provide early diagnosis. The authors compile recent developments based on machine learning and deep learning techniques to diagnose neurodegenerative diseases using imaging, genetic, and clinical data. The authors support initiatives and methods that aim to improve the application of algorithms in diagnostic practice.
    DOI: 10.1007/978-3-031-53148-4
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  • 95
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    Machine Learning Applications for Intelligent Energy Management : Invited Chapters from Experts on the Energy Field (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479090
    Language: English
    Pages: 1 Online-Ressource(XIV, 226 p. 110 illus., 107 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Learning and Analytics in Intelligent Systems 35
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Electrical engineering. ; Artificial intelligence. ; Energy policy. ; Energy and state.
    Abstract: AI-Powered Transformation and Decentralization of the Energy Ecosystem -- An Explainable AI-based Framework for Supporting Decisions in Energy Management -- The big data value chain for the provision of AI-enabled energy analytics services -- MODULAR BIG DATA APPLICATIONS FOR ENERGY SERVICES IN BUILDINGS AND DISTRICTS: DIGITAL TWINS, TECHNICAL BUILDING MANAGEMENT SYSTEMS AND ENERGY SAVINGS CALCULATIONS -- Neural network based approaches for fault diagnosis of photovoltaic systems -- Clustering of building stock -- BIG DATA SUPPORTED ANALYTICS FOR NEXT GENERATION ENERGY PERFORMANCE CERTIFICATES -- Synthetic data on buildings.
    Abstract: As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector. The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
    DOI: 10.1007/978-3-031-47909-0
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  • 96
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    Intelligent Systems, Business, and Innovation Research (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031368950
    Language: English
    Pages: 1 Online-Ressource(XVII, 978 p. 252 illus., 218 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 489
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering ; Engineering mathematics.
    Abstract: 1.Universal Adversarial Perturbation -- Automated Environmental Mapping with Behavior Trees -- Multi-objective Automatic Clustering with Gene Rearrangement -- Impact of immersive technology and virtual work environment, on innovative work behaviour -- Innovation capability and the relationship between entrepreneurial resources and micro-business performance. -- Impact of Cloud Computing as a digital technology on SMEs sustainability -- Digital innovation and agri-business -- The Usage of Artificial Intelligence in management process -- Artificial Intelligence to Human Resources Management -- others.(Green Finance, Digital Finance, and their challenges on traditional businesses -- Artificial Intelligence and Public Governance: citizens perspective in the context of a developing nation -- Fintech Innovations and the potential for green investment -- Blockchains, tokens and entrepreneurship).
    Abstract: Intelligent systems research is a multidisciplinary field that focuses on the development of systems that can perceive, reason, and act autonomously. This can include areas such as machine learning, artificial intelligence, natural language processing, and robotics. The goal of intelligent systems research is to develop systems that can understand, learn from, and adapt to their environment, to perform tasks that would typically require human intelligence. Business and innovation research is an interdisciplinary field that examines how organizations can create, develop, and implement new ideas, products, and services. This can include areas such as organizational behaviour, strategic management, and marketing. The goal of business and innovation research is to understand how organizations can foster an environment that encourages creativity and innovation, and how they can develop and implement new ideas in a way that leads to success. Intelligent Systems, Business and Innovation Research is a research area that brings together these two fields to study the use of intelligent systems and technologies in the business context to drive innovation, improve operational efficiency and effectiveness of the organization. The book aims to understand how intelligent systems can be used in business applications, how to design and implement them, how to manage the associated challenges, and how to leverage them to foster innovation, create new business models, and gain competitive advantage. It offers guidance on how to navigate potential conflicts and challenges that may arise during multidisciplinary research in areas such as Industry 4.0, Internet of Things, modern machine learning, software agent applications, and data science. The book focuses on the various fields in which intelligent systems play a critical role in enabling the development of advanced technologies that can perform tasks that would typically require human intelligence. For example, in smart/control systems, intelligent algorithms can be used to optimize the performance of machines and devices, while in cyber security, they can be used to protect networks and data from cyber-attacks. In bioinformatics, intelligent systems can be used to analyse large amounts of biological data, while in virtual reality and robotics, they can be used to create realistic and responsive simulations and automatons. Additionally, the book also highlights the rapidly advancing theoretical foundations of fuzzy sets, mathematical logic, and non-classical logic. These are important theoretical frameworks for the development of intelligent systems, as they provide the foundation for the representation and manipulation of uncertainty, complexity, and imprecision. These theoretical foundations are essential in the development of intelligent systems that can make decisions and perform tasks in uncertain, complex, and dynamic environments.
    DOI: 10.1007/978-3-031-36895-0
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  • 97
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    Explainable Uncertain Rule-Based Fuzzy Systems (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031353789
    Language: English
    Pages: 1 Online-Ressource(XXIII, 580 p. 257 illus., 231 illus. in color.)
    Edition: 3rd ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence. ; Neural networks (Computer science).
    Abstract: Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion.
    Abstract: The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications, from time-series forecasting to knowledge mining to classification to control and to explainable AI (XAI). This latest edition again begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty, leading to type-2 fuzzy sets and systems. New material is included about how to obtain fuzzy set word models that are needed for XAI, similarity of fuzzy sets, a quantitative methodology that lets one explain in a simple way why the different kinds of fuzzy systems have the potential for performance improvements over each other, and new parameterizations of membership functions that have the potential for achieving even greater performance for all kinds of fuzzy systems. For hands-on experience, the book provides information on accessing MATLAB, Java, and Python software to complement the content. The book features a full suite of classroom material.
    DOI: 10.1007/978-3-031-35378-9
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  • 98
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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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  • 99
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    Digital Technologies in Education : Selected Cases (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031574221
    Language: English
    Pages: 1 Online-Ressource(XII, 230 p. 60 illus., 53 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 529
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Education.
    Abstract: Part І. Digital Transformations in Education: Implementing New Knowledge Management Strategies -- 1. Digitalization as a Global Trend of Public Management Systems Modernization -- 2. Educational Organization Managers’ Team Role Orientations -- 3. Readiness of Educational Managers and Teachers to Enhance Distance Education and Knowledge Management -- 4. Learning Factories in the Era of Digital Transformations -- Part ІІ. Unleashing Potential: Knowledge Management and Digital Technologies in Higher Education -- 5. Digitalization Trends in Higher Education, etc.
    Abstract: Among the technologies that significantly change the modern world of human existence, it is worth mentioning, first of all, digital technologies. These technologies are actively and relentlessly implemented and integrated into all spheres of human activity and society, becoming a powerful catalyst and a determining source of social development. According to such a scenario of development, society acquires the features of digital, thus defining digital technologies as its leading technology. This process is called the digital transformation of society. The wide use of digital technologies to provide free access to information and knowledge is a basic principle of the digital society. Digital society significantly changes traditional ideas about work, education, culture, communication, social and political life. The development of citizens' digital culture is the main condition for the successful construction of a digital society. Therefore, it is important to carry out scientific research and targeted training to improve the qualifications of specialists in various branches of the economy, in particular, educators and scientists to acquire digital competence. After all, these specialists are key figures in ensuring the process of digitalization of education and science. The book presents various aspects of the digital transformation of education and science. A comprehensive view of the current state and prospects of the use of digital technologies for education and science is provided. The experience of using digital technologies and tools for training and improving the qualifications of specialists of various specialties, as well as for the preparation of future PhDs, is described. The book is addressed to education workers, managers, scientists, graduate students, librarians, and all those who are interested in the process of digital transformation of education and science.
    DOI: 10.1007/978-3-031-57422-1
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  • 100
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    Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031465499
    Language: English
    Pages: 1 Online-Ressource(XX, 503 p. 280 illus., 258 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1126
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Visualizing the Unseen: Unleashing Knowledge Discovery with Lossless Visualizations -- Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling -- Full High-dimensional Intelligible Learning In 2-D Lossless Visualization Space -- Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization -- Parallel Coordinates for Discovery of Interpretable Machine Learning Models -- Visual Knowledge Discovery with General Line Coordinates -- Unveiling Insights: Empowering AI/ML through Visual Knowledge Discovery.
    Abstract: This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges. This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens. .
    DOI: 10.1007/978-3-031-46549-9
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