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  • English  (375)
  • 2020-2024  (375)
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  • Artificial intelligence.  (375)
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  • 1
    ISBN: 9789811930157
    Language: English
    Pages: 1 Online-Ressource(XII, 576 p. 306 illus., 230 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 139
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Image processing—Digital techniques. ; Computational intelligence. ; Artificial intelligence. ; Data mining. ; Computer vision. ; Image processing ; Engineering
    Abstract: Chapter 1. A Graph Based Extractive Assamese Text Summarization -- Chapter 2. Internet of Things (IoT) for Secure Data and M2M Communications -- Chapter 3. Deveelopment of Walking Assistants for Visually Challenged Person -- Chapter 4. A PERFORMANCE STUDY OF PREDICTION MODELS FOR DIABETES PREDICTION USING MACHINE LEARNING -- Chapter 5. Orthopantomogram (OPG) Image Analysis using Bounding Box Algorithm -- Chapter 6. Design and Analysis of an Improved Artificial Neural Network Controller for the Energy Efficiency Enhancement of Wind Power Plant -- Chapter 7. Detection of Renal Calculi using Convolutional Neural Networks -- Chapter 8. Question Answering and Text Generation using BERT and GPT-2 Model -- Chapter 9. Improved Lenet Model for Flower Classification Using GPU Computing -- Chapter 10. Distributed computing over the Next Generation Mobile Communication Network (NGMCN) is an emerging technology -- Chapter 11. The ELF Tribe: Redefining Primary Education in a Post-COVID Era -- Chapter 12. An Extreme Machine Learning Mdel for Evaluating Landslide Hazard Zonation in Nilgiris District, Causative Factors and Risk Assessment using Earth Observation Techniques -- Chapter 13. Analysis of Cross-Site Scripting Vulnerabilities in Various Day-to-Day Web Applications -- Chapter 14. Detecting Cyberbullying with text classification using 1DCNN and Glove Embeddings -- Chapter 15. A Bayesian Network Based Software Requirement Complexity Prediction Model.
    Abstract: The book features original papers from International Conference on Computational Methods and Data Engineering (ICCMDE 2021), organized by School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India, during November 25–26, 2021. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of advanced computing.
    URL: Cover
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  • 2
    ISBN: 9783031176012
    Language: English
    Pages: 1 Online-Ressource(XVII, 402 p. 155 illus., 136 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 556
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Cross-Cutting Support of Decision Making for Forming Personalized Learning Spaces -- Personalized Learning in an Intelligent Educational System -- Electronic-Service Learning to Sustain Instruction with Civic Engagement during the COVID-19 Pandemic -- Evaluating E-Learning Process on Virtual Classroom Systems using an ISO-based model -- SERVE as instructional design for low-connectivity online self-directed modules -- From Threads to Textiles: Building an Ontology for the Indigenous Fabrics of the Ifugao -- TraCon: A novel dataset for real-time traffic cones detection using deep learning -- A Comparison of Machine Learning Methods for Modeling Dengue Incidence in Local Communities.
    Abstract: This book summarizes the research findings presented at the 2nd International Conference on Novel & Intelligent Digital Systems (NiDS 2022). NiDS 2022 was implemented virtually due to COVID-19 restrictions, on September 29-30, 2022, under the auspices of the Institute of Intelligent Systems. NiDS lays special emphasis on the novelties of intelligent systems and on the interdisciplinary research which enables, supports, and enhances artificial intelligence (AI) in software development. It promotes high-quality research, creating a forum for the exploration of challenges and new advances in AI, and addresses experts, researchers, and scholars in the fields of artificial and computational intelligence in systems and in computer sciences in general, enabling them to learn more about pertinent, strongly related, and mutually complementary fields. The conference promotes an exchange of ideas, reinforcing and expanding the network of researchers, academics, and market representatives.
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  • 3
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031109560
    Language: English
    Pages: 1 Online-Ressource(X, 262 p. 95 illus., 71 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Topics in Intelligent Engineering and Informatics 16
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Methods for Analyzing Cognitive Architecture -- Cognitive Resonance and the Architecture Issues of Cognitive Information Systems -- Dyspraxia: an experimental clinical model for the study of the embodied cognition -- Role of Presence, Memory and Spatial Ability in a Desktop Virtual Reality -- Experiences and guidelines for developing 3D VR curricula.
    Abstract: Considering the emergence of artificial intelligence, virtual and augmented reality, 3D video and television, and holography, it is logical that we should also begin to create applications and businesses driven by these technologies. The 12 chapters of Accentuated Innovations in Cognitive Info-Communication focus on the research and development of state-of-the-art information in Cognitive Info-Communication. This interdisciplinary research area has emerged as a synergy between Info-Communication and Cognitive Sciences. It presents a synthetic, holistic combination of coherent technologies that will become increasingly important in the coming decade. It is a teaching and reference guide for VR, robotics, virtual classrooms and institutions, and medicine at the undergraduate and postgraduate levels. The discussed book is an immersive learning experience for students and teachers worldwide. In addition, it applies to other fields such as healthcare, performing arts, and television.
    URL: Cover
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  • 4
    ISBN: 9783031148590
    Language: English
    Pages: 1 Online-Ressource(XVIII, 362 p. 172 illus., 148 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1430
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Comparing machine learning vs. humans for dietary assessment -- A method to identify graphs containing a specific subgraph -- A Scalable Smart Lighting Framework to Save Energy -- Papal Teaching on the Ethical Challenges of Artificial Intelligence -- European Union fosters ethical AI in the Public Administration -- Bias Analysis on Twitter -- Population-based methods to reduce the colors of an image -- Use of YOLOv4 and Yolov4Tiny for intelligent vehicle detection in Smart City environments. .
    Abstract: This book provides a forum for experts to present their latest research in disruptive technologies, promoting knowledge transfer. Due to the important advances in technologies such as artificial intelligence, big data, the Internet of things, or bioinformatics produced in recent years, it is necessary to conduct a thorough review of current ethical patterns. One of the research fields that is in full expansion and with a broad future is technology ethics or tech ethics. Just a few years ago, this type of research was a small part, and they did not have too many technology researchers involved. At present, due to the explosion of new applications of artificial intelligence, their problems and their legal barriers have flourished innumerable initiatives, declarations, principles, guides, and analyses focused on measuring the social impact of these systems and on the development of a more ethical technology. It is, therefore, a problem that needs to be addressed from an academic and multidisciplinary point of view, where experts in ethics and behavior work together with experts in new and disruptive technologies. The international conference “Disruptive Technologies Tech Ethics and Artificial Intelligence” (DITTET 2022) provides a forum to present and discuss the latest scientific and technical advances and their implications in the field of ethics. It provides a unique opportunity to bring together experts in different fields, academics, and professionals to exchange their experience in the development and deployment of disruptive technologies, artificial intelligence, and their ethical problems.
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  • 5
    ISBN: 9783031107801
    Language: English
    Pages: 1 Online-Ressource(XII, 653 p. 222 illus., 189 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Automation, Collaboration, & E-Services 10
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    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Manufactures. ; Artificial intelligence.
    Abstract: Future of Work and Work Systems: Machine Learning & Artificial Intelligence for Designing Smart, Safe, Healthy & Ethical Work in Financial Services -- Supporting production management in the fourth industrial revolution: a framework based on shop-floor data -- Perceived Usability in User-Centered Design: Analysis of Usability Aspects for Improving Human-Machine System -- Synthesizing Construction Professionals’ Perceived Measures of Mitigating Contractors’ Opportunism -- Systematic Review of the Relationship between Advanced Production Management and Workplace Safety.
    Abstract: This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries. This book is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This book for the GSIS emphasizes main thematic areas: manufacturing, services and user experience. Main areas of coverage include Section A: Advanced Production Management and Production Control; Section B: Healthcare Automation; Section C: Measuring and Modeling Human Performance; Section D: Usability and User Experience; Section E: Safety Management and Occupational Ergonomics; Section F: Manufacturing and Services; Section G: Data and Probabilistic Information; Section H: Training and Collaboration Technologies. Contributions from especially early career researchers were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction International and Applied Human Factors and Ergonomics International (AHFE), both within the Lecture Notes in Springer. The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet it is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. .
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  • 6
    ISBN: 9789811901799
    Language: English
    Pages: 1 Online-Ressource(XXIII, 626 p. 273 illus., 228 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 415
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    Keywords: Computational intelligence. ; Engineering mathematics. ; Telecommunication. ; Quantitative research. ; Artificial intelligence.
    Abstract: A collection of Hilfer fractional Opial inequalities -- On a nonlinear diffusion model of wood impregnation: Analysis, approximate solutions and experiments with relaxing boundary conditions -- Algorithmic Complexity-based Fractional-order Derivatives in Computational Biology -- Case study of non singular kernel model for MHD boundary layer flow of a rate type fluid over an oscillating plate -- Multi-layer Perceptron Articial Neural Network Approach for Solving Sixth-Order Two-Point Boundary Value Problems -- Wavelet transform on generalized quotient spaces and its applications -- Certain image formulae of the incomplete I-function under the conformable and pathway fractional integral and derivative operators -- Explicit exact solutions and conservation laws of modified α equation -- Some Approximation results on Durrmeyer modication of generalized Szasz-Mirakjan operators -- Fuzzy Approach to Solve General De-Novo Programming Problem.
    Abstract: This book is a valuable source for graduate students and researchers and provides a comprehensive introduction to recent theories and applications of mathematical modeling and numerical simulation. It includes selected peer-reviewed papers presented at the 4th International Conference on Mathematical Modelling, Applied Analysis and Computation (ICMMAAC 2021), held at JECRC University, Jaipur, India, during August 5–7, 2021. The book is focused on mathematical modeling of various problems arising in science and engineering and new efficient numerical approaches for solving linear nonlinear problems and rigorous mathematical theories, which can be used to analyze different kinds of mathematical models. Applications of mathematical methods in physics, chemistry, biology, mechanical engineering, civil engineering, computer science, social science, and finance are presented.
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  • 7
    ISBN: 9783031111549
    Language: English
    Pages: 1 Online-Ressource(XIII, 231 p. 66 illus., 53 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 228
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence. ; Medical informatics.
    Abstract: An Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. .
    Abstract: Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.
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  • 8
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031184581
    Language: English
    Pages: 1 Online-Ressource(XII, 865 p. 407 illus., 339 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 560
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    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.
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  • 9
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031201059
    Language: English
    Pages: 1 Online-Ressource(XIV, 220 p. 47 illus., 29 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1063
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Fundamentals of Metaheuristic Computation -- A Comparative Approach for Two-Dimensional Digital IIR Filter Design Applying Different Evolutionary Computational Techniques -- Comparison of Metaheuristics for Chaotic Systems Estimation -- Comparison Study of Novel Evolutionary Algorithms for Elliptical Shapes in Images -- IIR System Identification using Several Optimization Techniques: A Review Analysis -- Fractional-order Estimation using Locust Search Algorithm -- Comparison of Optimization Techniques for Solar Cells Parameter Identification -- Comparison of Metaheuristics Techniques and Agent-Based Approaches.
    Abstract: This book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or insects that manifest a cooperative behavior has produced several computational models in metaheuristic methods. Although these schemes emulate very different processes or systems, the rules used to model individual behavior are very similar. Under such conditions, it is not clear to identify which are the advantages or disadvantages of each metaheuristic technique. The book is compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. It is appropriate for courses such as Artificial Intelligence, Electrical Engineering, Evolutionary Computation. The book is also useful for researchers from the evolutionary and engineering communities. Likewise, engineer practitioners, who are not familiar with metaheuristic computation concepts, will appreciate that the techniques discussed are beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise in engineering areas.
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  • 10
    ISBN: 9789811941825
    Language: English
    Pages: 1 Online-Ressource(XIII, 430 p. 192 illus., 150 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1414
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer engineering. ; Computer networks . ; Statistics .
    Abstract: Sign2Sign: A Novel Approach Towards Real-Time ASL to ISL Translation -- Analysis of Patient Tuberculosis Tenet Death Reason and Prediction in Bangladesh using Machine Learning -- Portable Electronic Tongue for Characterization of Tea Taste -- Different skin tone segmentation from an image using KNN for Sign Language Recognition -- Improvisation of Information Systems Security Posture through Continuous Vulnerability Assessment -- Endpoint Network Behavior Analysis and Anomaly Detection using Unsupervised Machine Learning -- Handling Cold-start Problem in Restaurant Recommender System using Ontology -- An SVM based approach for the quality estimation of Udupi jasmine -- Routing based Restricted Boltzmann Machine Learning and Clustering Algorithm in Wireless Sensor Network -- A Systematic Review on Underwater Image Enhancement and Object Detection Methods.
    Abstract: This book presents best selected papers presented at the 2nd International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2022) to be held from 22 – 23 March 2022 in online mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.
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  • 11
    ISBN: 9783031205453
    Language: English
    Pages: 1 Online-Ressource(XI, 94 p. 50 illus., 21 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Automation, Collaboration, & E-Services 13
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Microeconomics. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: Introduction to Engineering Applications of Social Welfare -- Routing in Wireless Sensor Networks – Energy Welfare -- Ambulance Dispatching – Preparedness Welfare -- Group Decision Making in Intelligent Shared Environments – Preference Welfare -- Task Allocation in Multi-Robot Systems – Resource Welfare -- Resource Sharing in Cyber-Physical Systems – Utility Welfare -- Conclusion, Limitations, and Research Opportunities.
    Abstract: This book presents social welfare functions as a unified multidisciplinary framework for various resource allocation problems. By measuring the impact of local decisions on broader society, social welfare functions enable “socialized” decisions and thereby produce an emergent property that “global” balance and welfare emerge from “local” welfare-maximizing behaviors. Social welfare functions are originally used in economics to quantify income welfare, jointly considering average and inequality to arrive at better measures of welfare than average alone. Wishing the readers to find opportunities for their problems of interest, this book introduces research results of social welfare functions applied in five different engineering applications, defining welfare metrics pertaining to the characteristics of the application. The “energy welfare” in wireless sensor network measures richness of distributed sensors in energy. The “preparedness welfare” in emergency medical services quantifies the preparedness level of an entire service area by aggregating preparedness levels of individual zones. The “preference welfare” in intelligent shared environments represents the opinions of real people for groups. The “resource welfare” in multi-robot task allocation quantifies the efficiency of utilizing distributed resources across robots. The “utility welfare” in complex cyber-physical systems quantifies the impact of local resource sharing decisions on the broader task communities.
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  • 12
    ISBN: 9783031054914
    Language: English
    Pages: 1 Online-Ressource(XVIII, 398 p. 150 illus., 107 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 314
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Big data. ; Engineering mathematics. ; Engineering
    Abstract: Reversible Data Hiding in Encrypted Image Based on MSB Inversion -- Comments on the Visual Binary QR Code -- NLP-based Hardware Solution for Censoring Audio on Over-the-top (OTT) Media Services -- Efficient Steganographic Method Based on Modulo Cube -- Reversible Data Hiding Based on Bidirectional Generalized Integer Transform -- An RFID Ownership Transfer based on Multiple Owners with Different Weights -- Fuzzy C-Means based Feature Selection Mechanism for Wireless Intrusion Detection -- Real Time Drowsiness Detection Based on Facial Dynamic Features -- Collision Avoidance in Crowded Zone using Adversarial Reinforcement Learning -- Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based on Blockchain Technology.
    Abstract: This book aims to attract researchers and practitioners who are working in information technology and computer science. This edited book is about basics and high-level concepts regarding blockchain technology and application, multimedia security, information processing, security of network, cloud and IoT, cryptography and information hiding, cyber-security and evidence investigations, and learning and intelligent computing. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure, and privacy-aware mechanisms in high-performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security-related areas. We believe that this book not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
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  • 13
    ISBN: 9783031168321
    Language: English
    Pages: 1 Online-Ressource(VI, 209 p. 96 illus., 70 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1069
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup -- Metaheuristic algorithms in IoT: Optimized Edge Node Localization -- Jaya algorithm versus differential evolution: a comparative case study on optic disc localization in eye fundus images -- Minimum transmission power control for the Internet of Things with swarm intelligence algorithms -- An Enhanced Gradient Based Optimized Controller for Load Frequency Control of a Two Area Automatic Generation Control System -- A meta-heuristic algorithm based on the happiness model -- Application of Metaheuristic Techniques for Enhancing the Financial Profitability of Wind Power Generation Systems -- Optimization of Demand Response -- Fitting curves of ruminal degradation using a metaheuristic approach -- Optimizing a Real Case Assembly Line Balancing Problem Using Various Techniques -- Multi-Circle Detection Using Multimodal Optimization.
    Abstract: This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.
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  • 14
    ISBN: 9783031074226
    Language: English
    Pages: 1 Online-Ressource(XVII, 457 p. 1 illus.)
    Edition: 1st ed. 2023.
    Series Statement: LIDC Contributions on Antitrust Law, Intellectual Property and Unfair Competition
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    Keywords: Information technology—Law and legislation. ; Mass media—Law and legislation. ; Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence. ; Telemarketing. ; Internet marketing. ; Big data. ; Trade regulation. ; Mass media ; Information technology
    Abstract: Part I: Antitrust in Data Driven Markets -- International Report -- Australia -- Austria -- Belgium -- France -- Germany -- Hungary -- Norway -- Switzerland -- United Kingdom -- Part II: Legal Framework for Influencers, Native Advertising and Control over the use of AI in Marketing -- International Report -- Austria -- Brazil -- Germany -- Hungary.
    Abstract: This book gathers contributions from a broad range of jurisdictions, written by practitioners and academics alike, and offers an unparalleled comparative view of key issues in competition law, intellectual property and unfair competition law, with a specific focus on the use of personal data. The first part focuses on the role of competition law in shaping the digital economy. It discusses the use of personal data, the market power of platforms, the assessment of free services, and more broadly the responsibility of dominant companies in the smooth functioning of the digital economy. In turn, the second part sheds light on how the conduct of influencers, native advertising and the use of AI for marketing purposes can be controlled by the law, focusing on the use of personal data and the impact of behavioral advertising on consumers. In this regard, the book brings together the current legal responses across a number of European and other countries, all summarized and elaborated on in the form of two international reports. The LIDC is a long-standing international association that focuses on the interface between competition law and intellectual property law, including unfair competition issues.
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  • 15
    ISBN: 9789811971846
    Language: English
    Pages: 1 Online-Ressource(XVII, 731 p. 400 illus., 265 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 323
    Parallel Title: Erscheint auch als World Conference on Intelligent and 3-D Technologies (2022 : Online) Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022)
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Image processing.
    Abstract: This book features a collection of high-quality, peer-reviewed research papers presented at first ‘World Conference on Intelligent and 3-D Technologies’ (WCI3DT 2022), held in China during May 24–26, 2022. The book provides an opportunity for the researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications, and other related areas. The book presents ideas and the works of scientists, engineers, educators, and students from all over the world from institutions and industries.
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  • 16
    ISBN: 9789811988288
    Language: English
    Pages: 1 Online-Ressource(XI, 168 p. 74 illus., 62 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Autonomic, Data-driven and Industrial Computing
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Mathematical optimization. ; Artificial intelligence.
    Abstract: Introduction -- Problem Solving and Mathematical Modelling -- Decision Problems -- Optimization Problems -- Delay Model Problems.
    Abstract: This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.
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  • 17
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031199004
    Language: English
    Pages: 1 Online-Ressource(XVII, 193 p. 75 illus., 74 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 568
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction -- AI and Its Wider Impact -- Public Administration and Technology in Malta -- AI Adoption. .
    Abstract: The book presents a unique study on the Artificial Intelligence (AI) readiness of public administrations focusing on the Maltese public administration as a case study. This was conducted following the launch of the Malta AI National Strategy in 2019. Since the Maltese public administration is the driving force behind the integration of AI solutions nationwide, the research is deemed necessary to understand whether the public workforce itself is ready to face the oncoming AI revolution. The researchers applied a mixed-methods approach to gain insight and a broader perspective of the status quo concerning AI adoption. Important considerations that stem from this study include the need for increased AI knowledge among public administrators since the majority of respondents reported a lack of awareness of AI technologies and their deployment. Understanding AI-related advantages must be accompanied by a robust instructional effort at all levels of education. It was unanimously agreed that the early inclusion of AI-related courses in the Maltese educational system will aid in developing a future AI-savvy workforce. Furthermore, upskilling and reskilling the public officers will facilitate knowledgeable human capital and proficiencies required to effectively integrate AI solutions within society. The study concludes by recommending several critical reforms within governments that will improve the AI-readiness factor of any Public Administration.
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  • 18
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031220425
    Language: English
    Pages: 1 Online-Ressource(X, 252 p. 82 illus., 52 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1061
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: On Decision Making Applications Via Distance Measures -- On Intuitionistic Fuzzy Abstract Algebras -- Generalization of Intuitionistic Fuzzy Submodules of a Module by using Triangular Norms and Conorms and (T, S)-L Subrings -- Fuzzy Dynamic Parameter Adaptation in the Mayfly Algorithm: Implementation of fuzzy adaptation and tests on benchmark functions and Mackey Glass neural network -- Fuzzy classifier using the optimization algorithm by means of particles for the diagnosis of arterial hypertension -- A Survey of Models and Solution Methods for the Internet Shopping Optimization Problem -- A comparison between MFCC and MSE features for text-independent speaker recognition using machine learning algorithms -- Forecasting based on Fuzzy Logic of the Level of Epidemiological Risk for the Mexican State of Tamaulipas -- Bio-Inspired Flower Pollination Algorithm for the Optimization of a Monolithic Neural Network -- Rendezvous and Docking Control of Satellites Using Chaos Synchronization Method with Intuitionistic Fuzzy Sliding Mode Control -- Optimizing a convolutional neural network with a hierarchical genetic algorithm for diabetic retinopathy detection -- Interval Type-3 Fuzzy Systems: a natural evolution from type-1 and type-2 fuzzy systems -- A comparative study between bird swarm algorithm and artificial gorilla troops optimize -- Particle Swarm Optimization of Convolutional Neural Networks for Diabetic Retinopathy Classification.
    Abstract: This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.
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  • 19
    ISBN: 9789811983849
    Language: English
    Pages: 1 Online-Ressource (XVII, 174 Seiten) , Illustrationen
    Keywords: Control engineering. ; Robotics. ; Automation. ; Marine engineering. ; Artificial intelligence.
    Abstract: Preface -- Limbless locomotion introduction (classification and the corresponding locomotive features in nature) -- Limbless locomotion control in robotic domain -- Design of a lamprey spinal central pattern generator (CPG) -- Limbless locomotion under the lamprey spinal CPG -- Sensory reflex mechanism -- Adaptive limbless locomotion -- Research challenges .
    Abstract: This book presents a bio-inspired hierarchical control scheme step by step toward developing limbless robots capable of 3D locomotion, fast reflex response, as well as sophisticated reaction to environmental stimuli. This interdisciplinary book introduces how to combine biological concept with locomotion control of limbless robots. The special features of the book include limbless locomotion classification and control, design of biological locomotor and the integration of sensory information into the locomotor using artificial intelligence methods, and on-site demonstrations of limbless locomotion in different scenarios. The book is suitable for readers with engineering background, especially for researchers focused on bio-inspired robots.
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  • 20
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Palgrave Macmillan
    ISBN: 9789811948770
    Language: English
    Pages: 1 Online-Ressource(XIII, 165 p. 30 illus., 1 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Political science—Study and teaching. ; International relations. ; Political science. ; Artificial intelligence. ; Political science. ; Künstliche Intelligenz ; Mensch-Maschine-Kommunikation ; Technischer Fortschritt ; Auswirkung ; Internationale Politik ; Theorie ; Liberale Theorie (Internationale Beziehungen) ; English School (Internationale Beziehungen)
    Abstract: Chapter 1 Introduction -- Chapter 2 Theory in International Relations -- Chapter 3 Artificial Intelligence and International Relations -- Chapter 4 Liberalism -- Chapter 5 Realism -- Chapter 6 Hegemonic Stability Theory -- Chapter 7 Dependency Theory -- Chapter 8 Constructivism -- Chapter 9 The English School -- Chapter 10 Rational International Relations.
    Abstract: This book discusses the impact of artificial intelligence (AI) on international relations theories. As a phenomenon, AI is everywhere in the real world and growing. Through its transformative nature, it is simultaneously simplifying and complicating processes. Importantly, it also overlooks and 'misunderstands'. Globally, leaders, diplomats and policymakers have had to familiarise themselves and grapple with concepts such as algorithms, automation, machine learning, and neural networks. These and other features of modern AI are redefining our world, and with it, the long-held assumptions of IR held by the scholars for their theoretical accounts of our universe. The book takes a historic, contemporary and long-term approach to explain and anticipate AI’s impact on IR – and vice versa – through a systematic treatment of nine theoretical paradigms and schools of thought including realism, liberalism, feminism, postcolonial theory and green theory. This book draws on original datasets, innovative empirical case studies and in-depth engagement with the core claims of the traditional and critical theoretical lenses to reignite debates on the nature and patterns of power, ethics, conflict, and systems among states and non-state actors. Bhaso Ndzendze is Senior Lecturer and Head of Department: Politics and International Relations at the University of Johannesburg where he lectures a postgraduate course on technology dynamics in international relations. His recent books include The Political Economy of Sino-South African Trade and Regional Competition (Palgrave Macmillan) and Artificial Intelligence and International Relations with Professor Tshilidzi Marwala. He is also editor-in-chief of the journal Digital Policy Studies. Tshilidzi Marwala is the Vice-Chancellor and Principal of the University of Johannesburg, South Africa. From 2013 to 2017 he was the Deputy Vice-Chancellor for Research and Internationalization. He is the Deputy Chairperson of the Presidential Commission on the Fourth Industrial Revolution (South Africa). His research interests are multi-disciplinary and they include the theory and application of artificial intelligence to engineering, computer science, finance, social science and medicine. His publication track-record includes more than 24 books and 350 articles in leading academic journals and the popular press.
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  • 21
    ISBN: 9783031223716
    Language: English
    Pages: 1 Online-Ressource(XII, 193 p. 78 illus., 59 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 236
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Data protection.
    Abstract: Editorial Note -- Artificial Intelligence as Dual-Use Technology -- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. .
    Abstract: This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.
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  • 22
    ISBN: 9789811966316
    Language: English
    Pages: 1 Online-Ressource(XXVII, 957 p. 397 illus., 322 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 551
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Cancer Prognosis by Using Machine Learning and Data Science: A systematic review -- Understanding Agriculture Scenario of Punjab: A Qualitative Research of Crop parameter in relation to fertilizer usage -- Face Detection Based Border Security System Using Haar-Cascade and LBPH Algorithm -- Proposed Experimental Design of a Portable COVID-19 Screening Device Using Cough Audio Samples -- Big Data Framework for Analytics Business Intelligence -- Technological Impacts of AI on Hospitality and Tourism Industry -- Improvement of Real-Time Kinematic Positioning Using Kalman Filter-Based Singular Spectrum Analysis during Geomagnetic Storm for Thailand sector.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
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  • 23
    ISBN: 9789811973468
    Language: English
    Pages: 1 Online-Ressource(XIV, 838 p. 364 illus., 301 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 968
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Computational Intelligence: Theoretical Foundation -- Computational Intelligence & Knowledge Discovery -- Computational Intelligence & Data Science -- Computational Intelligence for Information Security -- Computational Intelligence & IoT enabling Architectures -- Computational Intelligence & its applications -- Computational Paradigms.
    Abstract: The book constitutes the peer-reviewed proceedings of the 2nd International Conference on Information Technology (InCITe-2022): The Next Generation Technology Summit. The theme of the conference is Computational Intelligence: Automate your World. The volume is a conglomeration of research papers covering interdisciplinary research and in-depth applications of computational intelligence, deep learning, machine learning, artificial intelligence, data science, enabling technologies for IoT, blockchain, and other futuristic computational technologies. The volume covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision making, and modeling, information systems, and IT architectures. The book will be useful to researchers, practitioners, and policymakers working in information technology.
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  • 24
    ISBN: 9789811967917
    Language: English
    Pages: 1 Online-Ressource(XIII, 306 p. 153 illus., 98 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 555
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Artificial intelligence—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Cloud Computing. ; Big data. ; Artificial intelligence
    Abstract: Part 1: Algorithms -- Chapter 1. Predicting Useful Information From Typing Patterns Using A Bootstrapped-based Homogeneous Ensemble Approach -- Chapter 2. Path Dependencies in Bilateral Relationship-Based Access Control -- Chapter 3. A robust approach to document skew detection -- Part 2: Smart systems and Networks -- Chapter 4. MBLEACH: Modified Blockchain Based LEACH Protocol -- Chapter 5. Community Detection in Large and Complex Networks Using Semi-local Similarity Measure -- Chapter 6. Evaluation of SVM Kernels With Multiple Uncorrelated Feature Subsets Selected By Multiple Correlation Methods for Reflection Amplification DDoS Attacks Detection -- Chapter 7. BLRS: An Automated Land Records Management System using Blockchain Technology -- Part 3: Machine Learning -- Chapter 8. Classification of Kathakali Asamyuktha Hasta Mudras Using Naive Bayes Classifier and Convolutional Neural Networks -- Chapter 9. Multi-objective fuzzy reliability redundancy allocation for xj-out-of-mj system using fuzzy rank based multi-objective PSO -- Chapter 10. Image Binarization With Hybrid Adaptive Thresholds -- Chapter 11. BEN-CNN-BiLSTM: A Model of Consequential Document Set Identification of Bengali Text -- Part 4: Smart Healthcare -- Chapter 12. A Machine Learning Model for Automatic Sleep Staging based on Single-channel EEG signals -- Chapter 13. Deep learning-based prediction of time-series single cell RNA-seq data -- Chapter 14. Stress Analysis Using Machine Learning -- Chapter 15. Deep Learning towards Brain Tumor Detection using MRI images. etc.
    Abstract: This book features a collection of high-quality research papers presented at the 9th International Symposium on Applied Computing for Software and Smart systems (ACSS 2022), to be held during September 09–10, 2022 in Kolkata, India. The book presents innovative works by undergraduate, graduate students and as well as PhD scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.
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  • 25
    ISBN: 9789811965258
    Language: English
    Pages: 1 Online-Ressource(XXII, 733 p. 237 illus., 197 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 547
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Algorithms.
    Abstract: Chapter 1. Benchmarking state-of-the-art methodologies for optic disc segmentation -- Chapter 2. Automated Student Emotion Analysis During Online Classes using Convolutional Neural Network -- Chapter 3. Transfer Learning based Malware Classification -- Chapter 4. A Study on Metric-Based and Initialization-Based Methods for Few-Shot Image Classification -- Chapter 5. A Fast and Efficient Methods for Eye pre-processing and DR Level Detection -- Chapter 6. A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal -- Chapter 7. An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach -- Chapter 8. Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture -- Chapter 9. Medical Prescription Label Reading using Computer Vision and Deep Learning -- Chapter 10. Autoencoder-based Deep Neural Architecture for Epileptic Seizures Classification -- Chapter 11. Stock Market Prediction using Deep Learning Techniques for Short and Long Horizon -- Chapter 12. Improved CNN Model for Breast Cancer Classification -- Chapter 13. Performance Assessment of Normalization in CNN with Retinal Image Segmentation -- Chapter 14. A novel multi-day ahead index price forecast using multi-output based deep learning system -- Chapter 15. Automatic Retinal Vessel Segmentation using BTLBO. etc.
    Abstract: This book provides an insight into the 11th International Conference on Soft Computing for Problem Solving (SocProS 2022). This international conference is a joint technical collaboration of the Soft Computing Research Society and the Indian Institute of Technology Mandi. This book presents the latest achievements and innovations in the interdisciplinary areas of Soft Computing, Machine Learning, and Data Science. It brings together the researchers, engineers, and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and healthcare, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
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  • 26
    ISBN: 9789811974472
    Language: English
    Pages: 1 Online-Ressource(XIV, 669 p. 259 illus., 205 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 324
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Business information services. ; Artificial intelligence. ; Engineering
    Abstract: Social Media as Communication-Transformation Tools -- Bi directional DC-DC converter-based Energy Storage Method for Electric Vehicles -- Design of Smart Irrigation System in Sone Command Area Bihar for Paddy Crop -- A Footstep to Image Deconvolution Technique for the both Known and Unknown Blur Parameter -- Secured Monitoring of Unauthorized UAV by Surveillance Drone Using NS2.
    Abstract: This book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2022), held in Bangkok, Thailand, during September 2–3, 2022. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.
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  • 27
    ISBN: 9783031185526
    Language: English
    Pages: 1 Online-Ressource (XII, 231 p. 171 illus.)
    Series Statement: International Series in Operations Research & Management Science 336
    Parallel Title: Erscheint auch als
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    Keywords: Financial engineering. ; Operations research. ; Application software. ; Machine learning. ; Financial risk management. ; Artificial intelligence. ; Financial Applications ; Machine Learning ; Deep Learning ; Algorithms ; Product Modeling ; Angewandte Informatik ; Artificial intelligence ; BUS027010 ; BUSINESS & ECONOMICS / Insurance / Risk Assessment & Management ; BUSINESS & ECONOMICS / Operations Research ; COMPUTERS / Artificial Intelligence ; COMPUTERS / Data Processing / General ; Finance ; Finanzen ; Information technology: general issues ; Künstliche Intelligenz ; Machine learning ; Management & management techniques ; Management und Managementtechniken ; Management: Entscheidungstheorie ; Maschinelles Lernen ; Operational research ; Risikobewertung ; Unternehmensforschung ; Aufsatzsammlung
    Abstract: Part 1: Recent Developments in FinTech -- 1. FinTech Risk Management and Monitoring -- 2. Digital Transformation of Supply Chain with Supportive Culture in Blockchain Environment -- 3. Integration of Artificial Intelligence Technology in Management Accounting Information System - An Empirical Study -- 4. The Impact of Big Data on Accounting Practices: Empirical Evidence from Africa -- Part 2: Financial Risk Prediction using Machine Learning -- 5. Using Outlier Modification Rule for Improvement of the Performance of Classification Algorithms in the Case of Financial Data -- 6. Default Risk Prediction Based on Support Vector Machine and Logit Support Vector Machine -- 7. Predicting Corporate Failure using Ensemble Extreme Learning Machine -- 8. Assessing and Predicting Small Enterprises’ Credit Ratings: A Multicriteria Approach -- Part 3: Financial Time-Series Forecasting -- 9. An Ensemble LGBM (Light Gradient Boosting Machine) Approach for Crude Oil Price Prediction -- 10. Model Development for Predicting the Crude Oil Price: Comparative Evaluation of Ensemble and Machine Learning Methods -- part 4: Emerging Technologies in Financial Education and Healthcare -- 11. Discovering the Role of M-learning among Finance Students: The Future of Online Education -- 12. Exploring the Role of Mobile Technologies in Higher Education: The Impact of Online Teaching on Traditional Learning.-13. Knowledge Mining from Health Data: Application of Feature Selection Approaches.
    Abstract: This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study. The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice. The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
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  • 28
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031244537
    Language: English
    Pages: 1 Online-Ressource(XII, 252 p. 100 illus., 76 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1084
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Computational Thinking Design Application for STEAM Education -- Education Data for Science: Case of Lithuania -- Imbalanced Data Classification Approach Based on Clustered Training Set -- Baltic States in Global Value Chains: Quantifying International Production Sharing at Bilateral and Sectoral Levels -- The Soft Power Of Understanding Social Media Dynamics: A Data-Driven Approach -- Bootstrapping Network Autoregressive Models for Testing Linearity -- Novel data science methodologies for essential genes identification based on network analysis -- Acoustic Analysis for Vocal Fold Assessment - Challenges, Trends, and Opportunities -- The Paradigm of an Explainable Artificial Intelligence (XAI) and Data Science (DS) Based Decision Support System (DSS) -- Stock Portfolio Risk-Return Ratio Optimisation using Grey Wolf Model -- Towards Seamless Execution of Deep Learning Application on Heterogeneous HPC Systems.
    Abstract: This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be developed or adapted to solve a particular problem. It illustrates data science in applications. These applications have in common the discovery of knowledge in data and the use of this knowledge to make real decisions. The set of examples presented serves as a recipe book for their direct application to similar problems or as a guide for the development of new, more sophisticated approaches. The intended readership is data scientists looking for appropriate solutions to their problems. In addition, the examples provided serves as material for lectures at universities.
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  • 29
    ISBN: 9783031290565
    Language: English
    Pages: 1 Online-Ressource(XXIX, 577 p. 249 illus., 188 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 661
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    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 interconnections 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.
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  • 30
    ISBN: 9789811988257
    Language: English
    Pages: 1 Online-Ressource(XXVII, 849 p. 436 illus., 310 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 600
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Big data.
    Abstract: A Novel Single Switch High Gain Flyback DC-DC Converter for Small Scale Lightning -- Learning Based Model for Auto Form Filling -- Fatality Prediction in Road Accidents Using Neural Networks -- Managing Peer Review Process of Research Paper -- Internet of Things Based Centralised Water Distribution Monitoring System -- StakePage: Analysis of Stakeholders of an Information System using Page Rank Algorithm -- Violence Recognition from videos using Deep Learning -- Stock Price Prediction Using Machine Learning -- Brain Tumor Detection using Deep Learning -- Predicting Chances of Cardiovascular Diseases through Integration of Feature Selection and Ensemble Learning -- Feedback Analysis of Online Teaching Using SVM -- DCGAN for Data Augmentation in Pneumonia Chest X-Ray Image Classification -- Fair Quality of Voice Over WiMAX Coexisting of WiFi Networks for Video Streaming Applications -- An Empirical overview on DDOS: Taxonomy, Attacks, Tools and Attack Detection Mechanism -- Histopathology Osteosarcoma Image Classification.
    Abstract: This book is a collection of high-quality peer-reviewed research papers presented at International Conference on Recent Trends in Computing (ICRTC 2022) held at SRM Institute of Science and Technology, Ghaziabad, Delhi, India, during 3 – 4 June 2022. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. The book presents original works from researchers from academic and industry in the field of networking, security, big data and the Internet of things.
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  • 31
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031297175
    Language: English
    Pages: 1 Online-Ressource(VIII, 383 p. 179 illus., 138 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 659
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: Advances in the use of artificial intelligence and sensor technologies for managing industrial workplace safety -- Implementation of deep learning to prevent peak-driven power outages within manufacturing systems -- Reproductive autonomy conformity assessment of purposed AI system -- The projects evaluation and selection by using MCDM and intuitionistic fuzzy sets -- Cost effectiveness analysis of real and in silico clinical trials for stent deployment based on decision tree.
    Abstract: The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law, and engineering. Readers can find AI application in industrial workplace safety, manufacturing systems, medical imaging, biomedical engineering application, different computational paradigm, COVID-19, liver tracking, drug delivery system, and cost-effectiveness analysis. Real examples from academia and industry give beyond state of the art for application of AI and ML in different areas. These chapters are extended papers from the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19–20, 2022.
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  • 32
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031240171
    Language: English
    Pages: 1 Online-Ressource(XIV, 184 p. 81 illus., 76 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Springer Tracts in Advanced Robotics 137
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Image processing—Digital techniques. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Computer vision. ; Image processing
    Abstract: Simultaneous Localization And Mapping -- Least Squares Optimization -- Motivation - When Optimization Fails -- A Robust Back-End for SLAM -- Evaluation.
    Abstract: Simultaneous Localization and Mapping (SLAM) has been a long-standing research problem in robotics. It describes the problem of a robot mapping an unknown environment, while simultaneously localizing in it with the help of the incomplete map. This book describes a technique called Switchable Constraints. Switchable Constraints help to increase the robustness of SLAM against data association errors and in particular against false positive loop closure detections. Such false positive loop closure detections can occur when the robot erroneously assumes it re-observed a landmark it has already mapped or when the appearance of the observed surroundings is very similar to the appearance of other places in the map. Ambiguous observations and appearances are very common in human-made environments such as office floors or suburban streets, making robustness against spurious observations a key challenge in SLAM. The book summarizes the foundations of factor graph-based SLAM techniques. It explains the problem of data association errors before introducing the novel idea of Switchable Constraints. We present a mathematical derivation and probabilistic interpretation of Switchable Constraints along with evaluations on different datasets. The book shows that Switchable Constraints are applicable beyond SLAM problems and demonstrates the efficacy of this technique to improve the quality of satellite-based localization in urban environments, where multipath and non-line-of-sight situations are common error sources.
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  • 33
    Online Resource
    Online Resource
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    ISBN: 9783031298608
    Language: English
    Pages: 1 Online-Ressource(XXIX, 1004 p. 531 illus., 439 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 669
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Study on Determining Household Poverty Status: Evidence from SVM approach -- The generation of power from a solar system using a variable step size P&O (VSS P&O) and comparing it to a Grey Wolf metaheuristic algorithm (GWO) -- Bio-Inspired Optimisation Algorithm for Congestion control in Computer Networking -- Fingerprint Classification Models Based on Bioinspired Optimization Algorithm: A Systematic Review -- Inspired Nature Meta-Heuristics Minimizing Total Tardiness for Manufacturing Flow Shop Scheduling under Setup Time Constraint -- Punishing the Unpunishable: A Liability Framework for Artificial Intelligence Systems -- Acceptability aspects of artificial intelligence in Morocco: managerial and theoretical contributions -- The Use of Learning Algorithms in Business Intelligence Tools to enhance Customer Feedbacks -- Improving the performance of public transport bus services: Analytics approach to revenue forecasting -- Multi-Level Governance and Digitalization in Climate Change: A Bibliometric Analysis.
    Abstract: This book presents volume 2 of selected research papers presented at the Second International Conference on Digital Technologies and Applications (ICDTA 23). This book highlights the latest innovations in digital technologies as artificial intelligence, Internet of Things, embedded systems, network technology, digital transformation, and their applications in several areas as Industry 4.0, renewable energy, mechatronics, digital healthcare, etc. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.
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  • 34
    ISBN: 9789811984938
    Language: English
    Pages: 1 Online-Ressource(XXIV, 941 p. 365 illus., 284 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 984
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer engineering. ; Computer networks .
    Abstract: An Integrated Approach for Robot Selection under Utopia Environment -- A Novel Soft Computing Technique for Hydroxyapatite Coatings Selection for Orthopedic Prosthesis -- Remote Production Monitoring System -- Application of Wavelet Neural Network for Electric Field Estimation -- Development of an industrial control virtual reality module for the application of electrical switchgear in practical applications -- Coordination of Wind Turbines and Battery Energy Storage Systems in Micro Grid -- Weather-aware selection of wireless technologies for neighborhood area network of Indian smart grid -- Intelligent System for Diagnosis of Pulmonary Tuberculosis Using Ensemble Method -- Alcoholic addiction detection based on EEG signals using Deep convolutional neural network -- Application of machine learning algorithms for cataract detection.
    Abstract: This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.
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  • 35
    ISBN: 9789811978678
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 777 p. 318 illus., 260 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 586
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Computer vision. ; Artificial intelligence.
    Abstract: Efficient Voluntary Contact-Tracing System & Network for COVID-19 Patients using Sound Waves and Predictive Analysis using K-Means -- Direct De Novo Molecule Generation using Probabilistic Diverse Variational Autoencoder -- Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.
    Abstract: This book presents selected research papers on current developments in the fields of computer vision and machine intelligence from International Conference on Computer Vision and Machine Intelligence (CVMI 2022). The book covers topics in image processing, artificial intelligence, machine learning, deep learning, computer vision, machine intelligence, etc. The book is useful for researchers, postgraduate and undergraduate students, and professionals working in this domain. .
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  • 36
    ISBN: 9789819912308
    Language: English
    Pages: 1 Online-Ressource(XII, 302 p. 130 illus., 94 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 349
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Multimedia systems.
    Abstract: A Review of Temporal Network Analysis and Applications -- A Knowledge Representation Method for Hierarchical Diagnosis Decision-making Under Uncertain Conditions -- Research and Implementation of Hybrid Storage Method for Multi-Source Heterogeneous Data of Electric Distribution Network -- Research on Measuring Method of Ball Indentation Based on MATLAB Image Edge Detection -- Multi-Feature Extraction of Mineral Zoning of Tabling Through Deep Semantic Segmentation -- Research on Mass Image Data Storage Method for Data Center -- Research on Virtual and Real Spatial Data Interconnection Mapping Technology for Digital Twin -- Prediction of Breast Cancer Via Deep Learning -- Scheme Design of Network Neighbor Discovery Algorithm Based on the Combination of Directional Antenna and Multi-Channel Parallelism -- Ship Target Detection in Remote Sensing Image Based on Improved RetinaNet -- Research on the Application of 3D Modeling Technology in Mechanical Structure Teaching -- 2D Numerical Model Used to Investigate the Influence of Vegetation on Geomorphological Evolution of Mudflats -- Design and Experimental Verification of High Functional Density Cubesat System -- Space Design of Exhibition Hall Based on Virtual Reality -- Identification of Expressway Traffic States Based on the Enhanced FCM Algorithm -- Algorithms Applied in Soft Tissue Deformation Simulation: a Survey -- Soft Tissue Cutting Based on Position Dynamics -- Research on Application Technology of Multi-Source Fusion of 3D Digital Resources in Power Grid.
    Abstract: This book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first three editions of the conference to provide a wide scientific forum for researchers, academia, and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in two volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms, and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.
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  • 37
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031261350
    Language: English
    Pages: 1 Online-Ressource(XII, 156 p. 61 illus., 41 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1086
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: Formal Method PAR-based Development of Graph Traversal Algorithms Family -- Automatic Piano Accompaniment Generation Method by Drum Rhythm Features with Selectable Difficulty Level -- Using Mixed Reality Technology for Teaching a New Language: A Study from Teachers’ Perspectives -- Reinforcement Learning and Action Space Shaping for a Humanoid Agent in a Highly Dynamic Environment -- Color-SIFT Features for Histopathological Image Analysis -- Time-Series Multidimensional Dialogue Feature Visualization Method for Group Work -- A Study on the Usage Prediction Model of Demand Response Resource Using Machine Learning -- A Study on AI Profiling Technology of Malicious Code Meta Information -- A Study on the Factors Affecting the Intention to Contin-ue to Use and Net Impacts of Smart Factory -- Protecting the rights and legitimate interests of the par-ties in B2B non-personal data sharing transactions: Experiences from the UK and EU and lessons learnt for Vietnam -- Capacitive Pressure Sensor based on Interdigitated Capacitor for applications in Smart Textile -- Author Index.
    Abstract: This edited book presents scientific results of the 24th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2022-Summer) which was held on December 7–9, 2022, at Taichung, Taiwan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. The conference organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the most promising papers are then published in this Springer (SCI) book and not the conference proceedings.
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  • 38
    ISBN: 9783031266331
    Language: English
    Pages: 1 Online-Ressource(X, 316 p. 64 illus., 40 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 162
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Cooperating objects (Computer systems). ; Computational intelligence. ; Big data. ; Artificial intelligence. ; Internet programming. ; Engineering
    Abstract: Serverless Computing: New Trends and Future Directions -- Punching Holes in the Cloud: Direct Communication Between Serverless Functions -- Hybrid Serverless Computing: Opportunities and Challenges -- A Taxonomy of Performance Forecasting Systems in the Serverless Cloud Computing Environments -- Open-Source Serverless for Edge Computing: A Tutorial -- Accelerating and Scaling Data Products With Serverless -- QoS Analysis for Serverless Computing using Machine Learning -- A Blockchain-Enabled Serverless Approach for IoT Healthcare Applications -- Cost Control and Efficiency Optimization in Maintainability Implementation of Wireless Sensor Networks based on Serverless Computing -- Scheduling Mechanisms in Serverless Computing -- Serverless Cloud Computing: State of the Art and Challenges.
    Abstract: This book explores how advances in graphic processing units (GPUs), programmable logic devices (TPUs), and field-programmable gate arrays have altered the serverless computing landscape (FPGAs). Distributed system architectures and implementations have undergone significant changes due to the popularity of serverless computing. Making and releasing product applications, doing market research, and maintaining customer interactions might all benefit from the reduced infrastructure expenses made possible by serverless computing. This book is a great resource for teachers and students interested in learning more about serverless computing. Some of the main questions surrounding serverless technology, such as scalability and performance distribution, are answered. Concepts and fundamentals of computing performance such as cost-free operation, good time and resource management, fairness, and interoperability are discussed. Serverless is at the forefront of this shift, which has made data-intensive, distributed applications, and open-source platforms essential for any modern computer to function. Data-centric queuing, real-time logging and monitoring, querying, and alarms are all examples of serverless services.
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  • 39
    ISBN: 9783031304033
    Language: English
    Pages: 1 Online-Ressource(IX, 185 p. 34 illus., 9 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Systems, Decision and Control 471
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Operations research.
    Abstract: Basic concepts of voting -- Preferential voting based on data envelopment analysis -- Group preferential voting -- Applications of preferential voting in industry and society.
    Abstract: This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The issue of "choice" using the aggregation of voters' votes is one of the most important group decision-making issues that are always considered by decision makers in electoral systems. Voting is a method of group decision making in a democratic society that expresses the will of the majority. Voting is perhaps the simplest way to gather the opinions of experts, and this ease of application has made it a multi-attribute decision-making method in group decisions. Preferential voting is a type of voting that may refer to electoral systems or groups of the electoral system. In preferential voting, voters vote for multiple candidates, and how the candidates are arranged on the ballot is important. Researchers have made many efforts to provide models of voter aggregation, and one of the best results of these efforts is the aggregation of votes based on the policy of data envelopment analysis. Thus, in group decisions, the opinions of experts are obtained in a simple structure and consolidated in an interactive and logical structure, and the results can be a powerful tool for decision support. This book provides a complete set of voting models based on data envelopment analysis and expressing its various applications in industry and society. However, most decision-making methods do not use the opinions of experts or reduce the motivation of experts to participate in complex interactions and time, while voting methods do not have this shortcoming. This book is suitable for graduate students in the fields of industrial management, business management, industrial engineering, applied mathematics, and economics. It can also be a good source for researchers in decision science, decision support systems, data envelopment analysis, supply chain management, healthcare management, and others. The methods presented in this book can not only offer a comprehensive framework for solving the problems of these areas but also can inspire researchers to pursue new innovative hybrid methods.
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  • 40
    ISBN: 9783031285516
    Language: English
    Pages: 1 Online-Ressource(XI, 163 p. 6 illus.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 239
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction -- Preliminaries -- Discussion -- Conclusion -- Index.
    Abstract: This book approaches to the subject of common-sense reasoning in AI using epistemic situation calculus which integrates the ideas of situation calculus and epistemic logic. Artificial intelligence (AI) is the research area of science and engineering for intelligent machines, especially intelligent computer programs. It is very important to deal with common-sense reasoning in knowledge-based systems. If we employ a logic-based framework, classical logic is not suited for the purpose of describing common-sense reasoning. It is well known that there are several difficulties with logic-based approaches, e.g., the so-called Fame Problem. We try to formalize common-sense reasoning in the context of granular computing based on rough set theory. The book is intended for those, like experts and students, who wish to get involved in the field as a monograph or a textbook for the subject. We assume that the reader has mastered the material ordinarily covered in AI and mathematical logic.
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  • 41
    ISBN: 9789819900473
    Language: English
    Pages: 1 Online-Ressource(XIV, 896 p. 390 illus., 322 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 998
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Application software.
    Abstract: This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.
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  • 42
    ISBN: 9789819929696
    Language: English
    Pages: 1 Online-Ressource(XVII, 318 p. 131 illus., 91 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 352
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Data, Information, Knowledge, Wisdom Pyramid Concept Revisited in the Context of Deep Learning -- Multimedia Industrial and Medical Applications Supported by Machine Learning -- Accessibility Measures and Indicators: A Basis for Dynamic Simulations to Improve Regional Planning -- Image-multimodal Data Analysis for Defect Classification: Case Study of Industrial Printing -- Image-multimodal Data Analysis for Defect Classification: Case Study of Semiconductor Defect Patter -- Decision-making Model for Updating Geographical Information Systems for Polish Municipalities Using the Fuzzy TOPSIS Method -- An Ontology-based Collaborative Assessment Analytics Framework to Predict Groups’ Disengagement -- On Sensing Non-visual Symptoms of Northern Leaf Blight Inoculated Maize for Early Disease Detection Using IoT/AI -- Inference Analysis of Lightweight CNNs for Monocular Depth Estimation -- Arabic Text-to-speech Service with Syrian Dialect -- A Systematic Review of Sentiment Analysis in Arabizi.
    Abstract: This book gathers selected papers from the KES-IDT 2023 Conference, held in Rome, Italy, on June 14–16, 2023. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed is classification, prediction, data analysis, big data, data science, decision support, knowledge engineering and modeling in diverse areas such as finance, cybersecurity, economics, health, management and transportation. The problems in industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis—theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues and decision-making theory for economics.
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  • 43
    ISBN: 9783031355103
    Language: English
    Pages: 1 Online-Ressource(XV, 617 p. 240 illus., 188 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 717
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering. .
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  • 44
    ISBN: 9789819900855
    Language: English
    Pages: 1 Online-Ressource(XIV, 901 p. 473 illus., 366 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 997
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Application software.
    Abstract: On Diverse and Serendipitous item Recommendation: A Reinforced Similarity and Multi-Objective Optimization based Composite Recommendation Framework -- Comparative Analysis of Node Dependent and Node Independent Graph Matrices for Brain Connectivity -- Facial Expression Recognition from low resolution facial segments using Pre-trained networks -- Design and Analysis of Quad Element UWB MIMO Antenna with Mutual Coupling Reduction Techniques -- Enhancing Agriculture Outcome with Multiple Crop Recommendations Using Sequential Forword Feature Selection -- Kernel Level Pruning for CNN.
    Abstract: This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, and videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves a valuable resource for those in academia and industry.
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  • 45
    ISBN: 9783031313882
    Language: English
    Pages: 1 Online-Ressource (xiii, 88 Seiten)
    Series Statement: Palgrave pivot
    Parallel Title: Erscheint auch als Gordon, John-Stewart, 1976 - The impact of artificial intelligence on human rights legislation
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    RVK:
    RVK:
    RVK:
    Keywords: Technology—Philosophy. ; Ethics. ; Artificial intelligence. ; Human rights. ; Law. ; Technology ; Artificial intelligence ; COMPUTERS / Artificial Intelligence ; Civil rights & citizenship ; Ethics & moral philosophy ; Ethik und Moralphilosophie ; Human rights ; International human rights law ; Internationales Öffentliches Recht: Menschenrechte ; Künstliche Intelligenz ; LAW / International ; LAW / Public ; Menschenrechte, Bürgerrechte ; PHILOSOPHY / Ethics & Moral Philosophy ; POLITICAL SCIENCE / Political Freedom & Security / Civil Rights ; POLITICAL SCIENCE / Political Freedom & Security / Human Rights ; Künstliche Intelligenz ; Menschenrecht
    Abstract: 1 General Introduction -- 1.1 General Line of Argumentation -- 1.2 The Caveat -- 1.3 Extreme Scepticism and Robot Rights -- 1.3.1 A Plea for Human Exceptionalism -- 1.3.2 The Mindless Morality View -- 1.3.3 Open-mindedness -- References -- 2 What Is Artificial Intelligence? -- 2.1 Introduction -- 2.2 Defining Artificial Intelligence -- 2.3 Artificial Intelligence and Ethics -- 2.3.1 Three Developmental Periods -- 2.3.2 The Ethics of Artificial Intelligence -- 2.4 Weak and Strong Artificial Intelligence -- 2.5 Superintelligence -- 2.6 Conclusions -- References -- 3 What Are Human Rights? -- 3.1 Introduction -- 3.2 What Are Human Rights? -- 3.2.1 The Concept of Human Rights -- 3.2.2 The Main Features of Human Rights -- 3.2.3 Different Types of Human Rights—A Classification -- 3.3 Moral and Legal Human Rights -- 3.4 Human Rights and Personhood -- 3.4.1 The Human DNA Argument -- 3.4.2 The Human Dignity Argument -- 3.5 Conclusions -- References -- 4 The Impact of Artificial Intelligence on Human Rights -- 4.1 Introduction -- 4.2 Artificial Intelligence and Human Rights—An Overview -- 4.3 Universal Declaration of Human Rights—Abridged Version -- 4.4 Zones of Conflict I—Machines Violate Human Rights -- 4.4.1 Table -- 4.4.2 Comments -- 4.4.3 Table -- 4.4.4 Comments -- 4.4.5 Table -- 4.4.6 Comments -- 4.5 Zones of Conflict II—Humans Violate “Machine Rights” -- 4.5.1 Table -- 4.5.2 Comments -- 4.6 Conclusions -- References -- 5 Moving Towards a “Universal Convention for the Rights of AI Systems” -- 5.1 Introduction -- 5.2 The Significance of Moral Status -- 5.3 Machine Rights as Fundamental Rights -- 5.4 The Idea of an AI Convention -- 5.5 The Problem of Design -- 5.6 Conclusions -- References -- 6 Objections -- 6.1 Introduction -- 6.2 The Dark Side of Superintelligence -- 6.3 Human Rights Are for Humans and Not Machines -- 6.4 The Argument from Artificial Servitude -- 6.5 Conclusions -- References -- 7 General Conclusions.
    Abstract: The unmatched technological achievements in artificial intelligence (AI), robotics, computer science, and related fields over the last few decades can be considered a success story. The technological sophistication has been so groundbreaking in various types of applications that many experts believe that we will see, at some point or another, the emergence of general AI (AGI) and, eventually, superintelligence. This book examines the impact of AI on human rights by focusing on potential risks and human rights legislation and proposes creating a Universal Convention for the Rights of AI Systems (AI Convention). John-Stewart Gordon, PhD in Philosophy, serves as an adjunct full professor at LSMU and has held various academic roles. He's an associate editor at AI & Society, serves on multiple editorial boards, and is the general editor of Brill's Philosophy and Human Rights series. With over 90 publications, John is a prolific contributor to practical philosophy.
    URL: Volltext  (lizenzpflichtig)
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  • 46
    ISBN: 9789819914357
    Language: English
    Pages: 1 Online-Ressource(XIV, 745 p. 360 illus., 307 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Artificial intelligence—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Natural language processing (Computer science). ; Artificial intelligence
    Abstract: An Approach for Sign Language Recognition with Deep Learning Algorithm -- Using the Contrastive Language-Image Pretraining Model for Object Detection on Images containing Textual Lables -- An entropy-based hybrid vessel segmentation approach for Diabetic Retinopathy Screening in the fundus image -- Facial recognition Approach: As per the trend of 2022-23 using Python.
    Abstract: This book gathers outstanding research papers presented at the 6th International Joint Conference on Advances in Computational Intelligence (IJCACI 2022), held in hybrid mode during October 15 – 16, 2022. IJCACI 2022 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
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  • 47
    ISBN: 9789819906093
    Language: English
    Pages: 1 Online-Ressource(X, 578 p. 316 illus., 259 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 163
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2022). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing.
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  • 48
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Show associated volumes/articles
    ISBN: 9783030967291
    Language: English
    Pages: 1 Online-Ressource(LII, 1536 p. 350 illus., 200 illus. in color.)
    Edition: 2nd ed. 2023.
    Series Statement: Springer Handbooks
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Artificial intelligence. ; Electrical engineering. ; Application software.
    Abstract: Development and Impacts of Automation -- Automation Theory and Sceintific Foundations -- Automation Design: Theory, Elements, and Methods -- Automation Design: Theory and Methods of Integration -- Automation Management -- Industrial Automation -- Infrastructure and Service Automation -- Automation in Medical and Healthcare Systems -- Home, Office, and Enterprise Automation -- Automation Case Studies and Statistics. .
    Abstract: This thoroughly revised and updated second edition of the bestselling Springer Handbook of Automation provides the most advanced, comprehensive, and balanced coverage of the technical and engineering aspects of automation. Starting with a holistic discussion on the history and societal impacts of automation, the book provides the tools to understand, design and implement automation solutions. This includes: the scientific foundations, from traditional control theory to the latest developments in artificial intelligence and machine learning; the technical aspects of automation design, from hardware such as mechatronics and sensors to cyber-physical systems and human-machine interaction, to collaborative automation; the methods of automation integration in products, processes and services; and finally, the technical, economic and ethical management of automation. Readers will find the most complete and state-of-the-art overview on the implementation, effects and examples of automation in industrial contexts, as well as infrastructure, service, medical and healthcare, home, office and enterprise automation. The book concludes with up-to-date case studies from industrial forerunners. Edited by an internationally renowned and experienced expert and supported by a distinguished advisory board, this Springer Handbook offers a wealth of information for industry practitioners, aspiring engineers and automation experts alike. .
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  • 49
    ISBN: 9789811999604
    Language: English
    Pages: 1 Online-Ressource(XVII, 799 p. 115 illus., 87 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 340
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Tourism. ; Management. ; Artificial intelligence. ; Business information services.
    Abstract: Professional Skills Developed in a ED Practicum -- ICT and The Role of Educators in the Inclusion of Children with Autism Spectrum Disorder (ASD) -- The Importance of the Family in Early Intervention Practices Using ICT -- Higher Education Dropout in COVID-19 Pandemic Times: Validation of a Student Survey (PSS) -- Interdisciplinarity in University Education: Application to Research -- The Importance of Motivating Students with Special Needs Attending Higher Education in the Face of Distance Education -- Challenges of Initial Training in Times of Pandemic: Social Education Internship Experience -- The Impact of Reading Habits on School Success: Perspectives of Student and Teacher Librarians -- The Promotion of Playful Reading – Evaluation by the Participants of the “10 Minutes Reading” Project -- DPO Framework for Canvas GDPR Model.
    Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2022), held at University of Chile, Santiago de Chile, Chile, from 3 to 5 November 2022. 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.
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  • 50
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031320958
    Language: English
    Pages: 1 Online-Ressource(VIII, 232 p. 70 illus., 51 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1100
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation -- A Geometric Perspective on Feature-Based Distillation -- Knowledge Distillation Across Vision and Language -- Knowledge Distillation in Granular Fuzzy Models by Solving Fuzzy Relation Equations -- Ensemble Knowledge Distillation for Edge Intelligence in Medical Applications -- Self-Distillation with the New Paradigm in Multi-Task Learning -- Knowledge Distillation for Autonomous Intelligent Unmanned System.
    Abstract: The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.
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  • 51
    ISBN: 9783031289996
    Language: English
    Pages: 1 Online-Ressource(XII, 498 p. 251 illus., 187 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1096
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: A decision-making approach based on multiple neural networks for clustering and prediction of time series -- Approximation of Physicochemical Properties based on a Mes-sage Passing Neural Network Approach -- Quanvolutional Neural Network applied to MNIST -- Traffic Sign Recognition Using Fuzzy Preprocessing and Deep Neural Networks -- Fuzzy dynamic adaptation of an Artificial Fish Swarm Algo-rithm for the Optimization of Benchmark Functions -- Particle Swarm Optimization Algorithm with Improved Opposi-tion-Based Learning (IOBL-PSO) to Solve Continuous Problems -- Study on the effect of chaotic maps in the formation of new uni-verses in the Multiverse Optimizer algorithm -- Performance comparative of surrogate models as fitness func-tions for metaheuristic algorithms -- A New Continuous Mycorrhiza Optimization Nature-Inspired Algorithm -- Optimal Tuning of an Active Disturbance Rejection Controller using a Particle Swarm Optimization algorithm -- Optimization of Fuzzy Controllers using Distributed Bioinspired Methods with Random parameters -- Application of Compensatory Fuzzy Logic in Diabetes Problem Using Pima-Indians Dataset -- Comparison of the effect of parameter adaptation in bio-inspired CS algorithm using Type-2 Fuzzy Logic -- Interpretability of an Archimedean Compensatory Fuzzy Logic in Data Analytics: some case studies -- A new selection and class prediction using type-1 fuzzy logic ap-plied to a convolutional neural network -- Relaxed Differential Evolution Algorithm -- Automatic Characterization of Time Series Using Metaheuristic Algorithms for Epidemics Spread Analysis -- Comparative study of heuristics for the One-dimensional Bin Pa-cking Problem -- Experimental Evaluation of Adaptive Operators Selection Methods for the Dynamic Multiobjective Evolutionary Algorithm Based on Decomposition (DMOEA/D) -- Automated Machine Learning to improve stock-market forecast-ing using PSO and LSTM networks -- Evolutionary Gaussian-Gradient: A new optimization algorithm for the electromechanical design of gravitational batteries -- A comparison between selection operators heuristics of perturba-tion in CSP -- Trajectory Tracking Control of Wheeled Mobile Robots Using Neural Networks and Feedback Control Techniques -- An Evolutionary Bilevel Optimization Approach for Neuroevolu-tion -- Recovering from population extinction in the Animal Life Cycle Algorithm (ALCA) -- Multi-objective optimization through coevolution and outranking methods with uncertainty management -- EDA Experimental Proposal with Mallows Distribution applied to the Mixed No-idle Permutation Flowshop Scheduling problem -- Interval Type-3 Fuzzy Decision Making in Material Surface Quality Control -- Interval Type-3 Fuzzy Decision Making in Quality Evaluation for Speaker Manufacturing.
    Abstract: In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are a group of papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There 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 fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different application areas. In addition, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas. Finally, there are a group of papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.
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  • 52
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819908875
    Language: English
    Pages: 1 Online-Ressource(XVI, 239 p. 133 illus., 52 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1444
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Application software. ; Artificial intelligence. ; Music. ; Arts. ; Drama.
    Abstract: Part I: Computer Assisted Musicology -- Bridging the Gap between Musicological Knowledge and Performance Practice with Audio MIR -- Spectral Analysis of Voice Training Practices in the Hindustani Khayāl -- Software Assisted Analysis of Music: An Approach to Understanding Rāga-s -- Part II: Machine Learning Approaches to Music -- Music Feature Extraction for Machine Learning -- Role of Prosody in Music Meaning -- Estimation of Prosody in Music: A case study of Geet Ramayana -- Raga Recognition Using Neural Networks and N-grams of Melodies -- Developing a musicality scale for Haiku-likes -- Part III: Composition and Choreography -- Composing Music by Machine using Particle Swarm Optimization -- Computable Aesthetics for Dance -- Design and Implementation of a Computational Model for BharataNatyam Choreography -- Part IV: Interfacing the Traditional with the Modern -- Automatic Mapping of BharatNatyam Margam to Sri Chakra Dance -- Computation of 22 Shrutis: A Fibonacci Sequence-Based Approach -- Signal Processing In Music Production: The Death Of High Fidelity And The Art Of Spoilage -- Computational Indian Musicology: Challenges and New Horizons.
    Abstract: This book is intended for researchers interested in using computational methods and tools to engage with music, dance and theatre. The chapters have evolved out of presentations and deliberations at an international workshop entitled Computer Assisted Music and Dramatics: Possibilities and Challenges organized by University of Mumbai in honour of Professor Hari Sahasrabuddhe, a renowned educator and a pioneering computational musicologist (CM) of Indian classical music. The workshop included contributions from CM as well as musicians with a special focus on South Asian arts. The case studies and reflective essays here are based on analyses of genres, practices and theoretical constructs modelled computationally. They offer a balanced and complementary perspective to help innovation in the synthesis of music by extracting information from recorded performances. This material would be of interest to scholars of the sciences and humanities and facilitate exchanges and generation of ideas.
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  • 53
    ISBN: 9789811986697
    Language: English
    Pages: 1 Online-Ressource(XVIII, 677 p. 401 illus., 323 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 313
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Cooperating objects (Computer systems). ; Internet of things.
    Abstract: Chapter 1. Microservice Architecture Observability Tool Analysis -- Chapter 2. Decentralized payment architecture for e-commerce and utility transactions with Government verified identities -- Chapter 3. Detection of Phishing Website using Intelligent Machine Learning Classifiers -- Chapter 4. Bidirectional Gated Recurrent Unit (BiGRU) based Bitcoin Price Prediction by News Sentiment Analysis -- Chapter 5. How AI Algorithms are being used in Applications -- Chapter 6. A Framework for Identifying Theft Detection using Multiple-instance Learning -- Chapter 7. An Efficient Reversible Data Hiding Based on Prediction Error Expansion -- Chapter 8. Deriving Insights from COVID-19 -- Chapter 9. Smoke Detection in Forest Using Deep Learning -- Chapter 10. Pneumothorax Segmentation using Feature Pyramid Network and MobileNet Encoder through Radiography Images -- Chapter 11. Visual Learning with Dynamic Recall -- Chapter 12. Machine learning for drug discovery using ag-glomerative hierarchical clustering -- Chapter 13. Automated Photomontage Generation with Neural Style Transfer -- Chapter 14. Machine Learning Model Development Using Computational Neurology -- Chapter 15. Graph Theory based user profile extraction and community detection in Linkedin- A study. etc.
    Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Fifth International Conference on Soft Computing and Signal Processing (ICSCSP 2022). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
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  • 54
    ISBN: 9789819923229
    Language: English
    Pages: 1 Online-Ressource(XXII, 695 p. 319 illus., 242 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 689
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Image processing—Digital techniques. ; Computational intelligence. ; Artificial intelligence. ; Computer vision. ; Machine learning. ; Image processing
    Abstract: Development an PMSM Servo Driver for CNC Machines using TMS28379D Microcontroller -- A Probabilistic Method to Identify HTTP/1.1 Slow Rate DoS Attacks -- Transmission Pricing using MW Mile Method in Deregulated Environment -- Performance Analysis of Non-Linear Companding Techniques for PAPR Mitigation in 5G GFDM Systems -- Tensor Completion based Data Imputation Framework for IoT-based Underwater Sensor Network -- Pre-training Classification and Clustering Models for Vietnamese Automatic Text Summarization -- Identifying Critical Transition in Bitcoin Market using Topological Data Analysis and Clustering -- Healthcare Information Exchange using Blockchain Technology -- Multilevel Credit Card Fraud Detection Using Face Recognition and Machine Learning -- Transfer Learning based End-to-End Indian-English Recognition System -- Impact of COVID-19 on the Sectors of the Indian Economy and the World -- Wind Farm Layout Optimization Problem using Teaching Learning Based Optimization Algorithm -- An Ensemble Multimodal Fusion using Naive Bayes Approach for Haptic Identification of Objects -- Chaotic Maps and DCT based Image Steganography-cum-Encryption Hybrid Approach -- An Empirical Analysis and Challenging Era of Blockchain in Green Society.
    Abstract: This book gathers selected research papers presented at the Fourth International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by the National Institute of Technology, Delhi, India, during December 19–20, 2022. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source. The work is presented in two volumes.
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  • 55
    ISBN: 9783031334610
    Language: English
    Pages: 1 Online-Ressource(VIII, 117 p. 20 illus., 18 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Systems, Decision and Control 222
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Economics.
    Abstract: Companies and artificial intelligence: an example of clustering with Orange -- The long-term entreprise.-Artificial Intelligence and Didactics: New Tools -- The role of Artificial Intelligence for the improvement and management of Global Value Chains -- Decision Making and E-democracy: Archimede a Tools to Support the Data-Driven Process -- Deepfake: creation, purpose, risks -- The use of Artificial Intelligence in the decision-making processes of the Public Administration: regulations and executive practice - the case of the Italian Public Administration -- AI, Competition and Antitrust Policies -- The formation of the homo and of the ecological space -- For an intangible urban planning. Culture as an engine for development .
    Abstract: The book aims to deal with the main advances in the study of artificial intelligence, the digital and circular economy, and innovation from a multidisciplinary perspective. Whoever governs the artificial intelligence will hold the keys to the world and the future. This book explains the growing role of artificial intelligence in our lives and the need to understand its mechanisms. The book presents original research articles addressing various aspects of artificial intelligence applied to economics, law, management, and optimization. The topics discussed include economics, territorial policies, law, resource allocation strategies, information technology, and learning for inclusion. Combining the input of contributing professors and researchers from Italian and other foreign universities, the book is of interest to students, researchers, and practitioners, as well as members of the public in general, interested in the world of the artificial intelligence and economics.
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  • 56
    ISBN: 9783031368868
    Language: English
    Pages: 1 Online-Ressource(XVI, 406 p. 184 illus., 139 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 734
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book constitutes the refereed proceedings of the 12th Conference on Information Technology and its Applications, CITA 2023, taking place on July 28-29, 2023 in Da Nang City, the most beautiful and livable city in Vietnam. CITA is an annual scientific conference on information technology and its applications in all fields. The main objective of the conference is to create a forum to gather and connect Vietnamese and international researchers, scientists in the fields of information technology and its applications. The book includes 33 papers, selected from 144 papers submitted to CITA 2023 whose authors come from over 20 countries around the world, which were carefully reviewed by at least two members of the Program Committee, with professional advice from reputable scientists in the field of information technology and technology, digital economy such as Prof. Dr.Sc. Ngoc-Thanh Nguyen (Poland), Prof. Dr. Dosam Hwang (Korea), Assoc. Prof. Dr. Le Minh Hoa (UK), and Prof.Dr. Nguyen Thanh Thuy (Vietnam). The acceptance rate of CITA 2023 is about 24%. The papers in the book are organized in the following topical sections: Data Science and Artificial Intelligence; Image and Natural Language Processing; Software Engineering and Information Systems; Network and Communications; and Digital Economy. The accepted and presented papers focus on new trends and challenges facing the information and communication technology as well as digital economy community. If you are scientists, lecturers, doctoral students, we hope that you will find many useful and good quality results from the book for your future research.
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  • 57
    ISBN: 9789819930807
    Language: English
    Pages: 1 Online-Ressource(XXV, 428 p. 97 illus., 65 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 697
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computer networks—Security measures. ; Computational intelligence. ; Artificial intelligence. ; Cloud Computing. ; Blockchains (Databases). ; Data protection. ; Computer networks
    Abstract: Verifiable Delay Function Based on Non-linear Hybrid Cellular Automata -- Security Analysis of WG-7 Lightweight Stream Cipher against Cube Attack -- MILP Modeling of S-Box: Divide and Merge Approach -- A Relation between Properties of S-Box and Linear Inequalities of DDT -- Damage Level Estimation of Rubble-Mound Breakwaters using Deep Artificial Neural Network -- Facial Image Manipulation Detection using Cellular Automata and Transfer Learning -- Language Independent Fake News Detection Over Social Media Networks using Centrality Aware Graph Convolution Network -- Private Blockchain Enabled Security Framework for IoT-Based Healthcare System -- GradeChain: A Hyperledger Fabric Blockchain Based Students’ Grading System for Educational Institute -- Object-Background Partitioning on Images: A Ratio Based Division -- More on Semipositive Tensor and Tensor Complementarity Problem.
    Abstract: This book features selected papers from the 9th International Conference on Mathematics and Computing (ICMC 2023), organized at BITS Pilani K. K. Birla Goa Campus, India, during 6–8 January 2023. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry in mathematics, statistics, cryptography, network security, cybersecurity, machine learning, data analytics, and blockchain technology in computer science and information technology.
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  • 58
    ISBN: 9783031297137
    Language: English
    Pages: 1 Online-Ressource(XXVII, 575 p. 160 illus., 128 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Signals and Communication Technology
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Introduction -- Section 1: Fundamentals of the Industry 4.0 -- Fundamental of IoT -- Architecture of IoT -- Automation -- Big data challenges -- Cloud computing services -- convergence of IoT and cloud computing -- Section 2: Emerging trends in Artificial Intelligence -- Knowledge representation -- Machine learning -- Deep learning -- AI based industry automation -- Section 3: AI based data management, architecture and framework -- Algorithms and techniques for data management and cloud -- Reference architectures -- Frameworks for integrating IoT, ML and Cloud -- Section 4: Software Portability and Virtual Machine Design -- Virtual Machine designs -- VM design and programming-language/compiler theory concerns -- Section 5: Security for industry 4.0 -- Industry 4.0 -- Artificial intelligence -- Machine Learning -- Signal Processing -- Multimedia -- Big data -- Software Portability -- Virtual Machines -- Conclusion. .
    Abstract: This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as “Industry 4.0.” The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML.
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  • 59
    ISBN: 9783031397745
    Language: English
    Pages: 1 Online-Ressource(XVII, 833 p. 300 illus., 126 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 758
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Artificial intelligence.
    Abstract: Contextual bipolar database queries: a conjunctive and disjunctive perspective -- Intuitionistic Fuzzy Modal Topological Structures Based on Two New Intuitionistic Fuzzy Modal Operators -- Multi-Scale Dimensionality Reduction with F-Transforms in Time Series Analysis -- Mathematics, Scientific Reasoning and Fuzzy Logic -- Optimal transport and the Wasserstein distance for fuzzy measures: an example -- Some Properties of a New Concept of Fractional Derivative for Fuzzy Functions on Time Scales -- On monotonic function method for generating fuzzy similarity measures -- Regularity and Paracompactness in Fuzzy Topological Spaces -- Fuzzy Threshold Aggregation -- A Novel Bivariate Elliptic Fuzzy Membership Function: A Modeling and Decision-Making Tool for Bike Sharing -- Cryptography Based on Fuzzy Graphs -- Aggregating distances with uncertainty: the modular (pseudo-)metric case -- Peterson’s Rules based on Grades for Fuzzy Logical Syllogisms -- A new construction of uninorms in bounded lattices derived from t-normsand t-conorms -- Aggregation Operators for Face Recognition -- First-Order Representations and Calculi of Categorical Propositions -- Properties of general extensional fuzzy cuts -- Reverse order Pentagonal Fuzzy Numbers and its application in Game Problems -- Similarity Analysis of Means-End Chain Models -- Unfolding Computational Graphs for Dynamic Planning under Uncertainty -- Strong Connectivity Definition of Periodic Fuzzy Graph.
    Abstract: This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
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  • 60
    ISBN: 9789819941650
    Language: English
    Pages: 1 Online-Ressource(XIII, 421 p. 108 illus., 85 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 362
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Agriculture. ; Artificial intelligence. ; Mechanical engineering.
    Abstract: This book includes selected papers from the Third International Conference on Agriculture Digitalization and Organic Production (ADOP 2023), held in St. Petersburg, Russia, during June 05–07, 2023. The topics covered in the book are ground robotic systems in crop production, unmanned aerial vehicles in crop production, aerospace monitoring tools in crop production, robotic animal husbandry, digitalization of technological processes of agricultural production, evaluation of the effectiveness of digital technologies for the production of organic products, rational nature management and ecology in agricultural production, technologies for the production of organic agricultural products, market analysis of organic agricultural products and legal aspects of organic production.
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  • 61
    ISBN: 9783031409714
    Language: English
    Pages: 1 Online-Ressource(XXVII, 531 p. 243 illus., 161 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 182
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Inspection Method of Building Surface Condition by Unmanned Aerial Vehicle under Challenged Communication Environment -- Automatic Generation of Handwritten Style Characters Including Untrained Characters -- Recognition of Drum Music Using Sound and Video -- An Improvement of Data Flow for Business Intelligence: Royal Project Foundation Case Study -- A Fuzzy-based System for Estimation of Inland Flooding Risk -- Using Copoi to Manage the Parking Problem Through Pricing Techniques -- Artifact Extraction Methods for In-vehicle Infotainment System -- Photovoltaic Power 24-hour Predictions Using Pde Component Models Based on the L-transform Conversion Produced in Node-by-node Evolved Binomial Networks -- A Forward Collision Warning Model for Self-driving Car Using Yolov7 and Gcndepth -- Skin Disease Classification Based on Convolutional Neural Network -- Classification of New Energy Vehicle Patent Texts Based on Bert-bilstm -- Selecting a Reduced Set of Features for Supporting the Stance Detection Task -- Dynamic Pricing for Parking Facility -- User-oriented Solutions in Cybersecurity and Cloud-to-things Applications -- An Edge Computing Storage and Distributed Data-driven Bridging Framework for Smart Agriculture Using Clustered Interplanetary File System (IPFS).
    Abstract: With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very center of networks and exploits the value of people's connections, relations, and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities, and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer, and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer term, the development of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning. 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 intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems.
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  • 62
    Online Resource
    Online Resource
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    ISBN: 9783031333095
    Language: English
    Pages: 1 Online-Ressource(XIII, 330 p. 136 illus., 105 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1102
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: T opKW S Algorithm in the Map-Reduce paradigm for Cloud Computing QoS Recommendation System -- A New Context-Based Factorization Machines for Context-aware Recommender Systems -- Review of Recommendation Systems and their Applications in e-Learning -- Improvement of Courses Recommendation System using Divide and Conquer Algorithm -- Deep Reinforcement Learning in Financial Markets Context: Review of Open Challenges -- A Survey of Parallel Computing: Challenges, Methods and Directions -- A bi-LSTM neural network to forecast stock Market Index -- Fast Yolo V7 based CNN for video streaming Sea Ship recognition and sea surveillance -- Graph convolutional network for multilingual sentiment analysis -- Predicting Blood Glucose Levels in Type 1 Diabetes Using LSTM -- Sarcasm Detection on Social Media using Machine Learning Approach -- School Dropout Prediction using Machine Learning Algorithms -- SURVIVAL PREDICTION IN PATIENTS WITH NASOPHARYNGEAL CANCER USING MACHINE LEARNING METHODS -- Comparative Analysis of Skyline Algorithms used to Select Cloud Services based on QoS -- A state-of-the-art Survey on Ransomware Detection Using Machine Learning & Deep Learning -- Improving the Application of Blockchain Technology For Tracking Processes in the Supply Chain Integrated Business Intelligence -- Studying Consensus Mechanisms for Blockchain -- Design and Construction of a Smart Agricultural Greenhouse -- Implementation and Management of a Home Automation Control System (Smart Home) -- A comparative study of consensus algorithms used in Blockchain and their adaptation to the IoT networks -- Dynamics behavior of vehicular traffic flow in a scale-free complex network -- Customer Journey Map Discovery Approach -- Unmanned aerial vehicle-assisted clustered wireless sensor network data collection efficiency improvement -- Synergistic Fibroblast Optimization Algorithm for Solving Knapsack Problem -- ACCEPTANCE OF JOB ACCESS WITH SPEECH (JAWS) AS AN ASSISTIVE COMPUTER APPLICATION SOFTWARE -- Experimenting with Polymorphic Creativity Support Tools to Support Innovation in Participatory Ideation. .
    Abstract: This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals. Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more. This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctoral Students, Researchers and Academics.
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  • 63
    ISBN: 9789819935376
    Language: English
    Pages: 1 Online-Ressource(XI, 467 p. 292 illus., 242 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Industrial engineering. ; Production engineering. ; Artificial intelligence.
    Abstract: Chapter 1 Introduction -- Chapter 2 Supervised SVM based intelligent fault diagnosis methods -- Chapter 3 Semi-supervised Learning Based Intelligent Fault Diagnosis Methods -- Chapter 4 Manifold learning based intelligent fault diagnosis and prognostics -- Chapter 5 Deep learning based machinery fault diagnosis -- Chapter 6 Phase space reconstruction based on machinery system degradation tracking and fault prognostics -- Chapter 7 Complex electro-mechanical system operational reliability assessment and health maintenance.
    Abstract: Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.
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  • 64
    ISBN: 9783031432477
    Language: English
    Pages: 1 Online-Ressource(XVI, 567 p. 234 illus., 187 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 184
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: A Robust Deep Learning Techniques for No-Show Prediction in Hospital Appointments -- Empowering Individuals with Visual Impairments: A Deep Learning-Based Smartphone Navigation Assistant -- Lane and Bump Detection Based on Computer Vision and Deep Learning Methods -- Visual Steering for Deep Neural Networks Using Explainable Artificial Intelligence -- On the Interplay Between Self-adaptation and Energy Efficiency -- Soft Computing Framework for Digital Healthcare System -- Performance Improvement of Breast Cancer Diagnosis Using Artificial Intelligence and Image Processing Techniques.
    Abstract: This proceedings book constitutes the refereed proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics (AISI 2023), which took place in Port Said University, Port Said, Egypt, during September 20–22, 2023, Egypt, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.
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  • 65
    ISBN: 9783031435201
    Language: English
    Pages: 1 Online-Ressource(XXII, 472 p. 261 illus., 197 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 772
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: Learning to Irrigate - A model of the plant water balance -- Free and Unfree Weed Classification in Young Palm Oil Crops using Artificial Neural Network -- A Method for Bengali Author Detection using State of the Arts Supervised Machine Learning Classifiers -- Robust State of Charge Estimation and Simulation of Lithium-ion Batteries Using Deep Neural Network and Optimized Random Forest Regression Algorithm -- Advancing Lithium-Ion Battery Management with Deep Learning: A Comprehensive Review -- Contribution to Solving the Cover Set Scheduling Problem and Maximizing Wireless Sensor Networks Lifetime using an Adapted Genetic Algorithm -- Comparative Study between Double Vector Quantization Using SOM and GMM for Prediction Time Series Problem.
    Abstract: Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.
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  • 66
    ISBN: 9789819915880
    Language: English
    Pages: 1 Online-Ressource(XXI, 747 p. 401 illus., 297 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1447
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering ; Artificial intelligence.
    Abstract: Cross-Site Scripting Recognition using LSTM Model -- Development and Implementation of Efficient Recruitment Portal using Blockchain -- Machine Learning Classifiers Performance Comparison for Breast Cancer Detection -- Comparison of Pollard’s Rho Algorithm based on Cycle Finding Methods -- Smart Street Parking System for Smart Cities Based on The IoT Protype -- A Hybrid PSO-Fuzzy Trust Energy Aware DRP in Wireless Sensor Network -- Online Advertising Dataset Using ANN (Artificial Neural Networks) and LR (Linear Regression Techniques) -- Artificial Intelligence and Deep Learning based Agri & Food Quality and Safety Detection System -- Personalized E-learning System using Linear Regression for Intelligent Tutoring Systems -- Nucleus Segmentation using K – Means Clustering for Analysis of Microscopy Images.
    Abstract: This book features a collection of high-quality, peer-reviewed papers presented at the Sixth International Conference on Intelligent Computing and Communication (ICICC 2022) organized by Department of Computer Science and Engineering, G. Narayanamma Institute of Technology and Science (for women) Autonomous, Hyderabad, India, on November 18–19, 2022. It focuses on innovation paradigms in system knowledge, intelligence, and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment, and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology, and healthcare.
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  • 67
    ISBN: 9789819903375
    Language: English
    Pages: 1 Online-Ressource(XIV, 763 p. 157 illus., 135 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 345
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Tourism. ; Management. ; Artificial intelligence. ; Business information services.
    Abstract: Competitiveness of the Medical Tourism Supply in Portugal -- WRC Vodafone Rally de Portugal fostering tourism development -- The Brazilian tourist on international trips: A behavioral analysis -- Digital influencers and tourism marketing: preliminary approach -- An Empirical Model for Measuring Quality and Maturity of Interoperability of E-Government Solutions -- Case Study: Public Entities Related to Tourism, Hospitality, and Gastronomy in Ecuador.
    Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2022), held at University of Chile, Santiago de Chile, Chile, from 3 to 5 November 2022. 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.
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  • 68
    ISBN: 9789819968473
    Language: English
    Pages: 1 Online-Ressource(XI, 892 p. 435 illus., 358 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1089
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: Efficient PBFT Algorithm Research Based on Credit Value Model -- MK-DCCA Based Fault Diagnosis for Incipient Fault in Nonlinear Dynamic Processes -- An Improved Siamese Capsule Networks Classification Method for Few Sample Remote Sensing Images -- Robotic Arm Grasping Based on Deep Reinforcement Learning -- Multidimensional non-linear ship trajectory prediction based on LSTM network corrected by GA-BP -- Design and Simulation of the Hydraulic System for Height Adjustment of Carriages -- Virtual Model Control Algorithm Simulation for Lower Limb Assist Exoskeleton -- Neural network based singularity-free adaptive prescribed performance control of two-mass systems -- Intelligent Path Planning for Home Service Robots Based on Improved RRT Algorithm -- Adaptive Neural Networks Backstepping Control of Uncertain Second-Order Systems with Input and State Time Delays -- Satellite-Terrestrial Integrated Network Slicing Resource Management based on reinforcement learning -- Event-triggered adaptive neural network trajectory tracking control of MSVs under deception attacks -- Planetary Flight Obstacle Avoidance Guidance Method Based on ES and DQN -- Improving unmanned panoramic perception algorithm of DAFPN-YOLO -- Development of Electromagnetic Model for Linear Force Motor in Direct-Drive Hydraulic Servo Actuators -- Analysis on structure and kinematics for a novel decoupled rope-driven manipulator -- Fractional order LMS algorithms: a review and application in signal denoising -- Research on Low-Cost IMU Testing Methods -- Androgynous Tool Quick-Change Mechanism and its Misalignment Tolerance of Space Manipulator -- Fast parameter estimation algorithm for the signal modeling based on equation solution -- Second Harmonic-Compensated Phase-Locked Loop for Resolver-to-Digital Conversion -- Adaptive tracking of nonlinear switched systems with sensor uncertainties based on weighted average voting algorithm -- Load distribution of planetary roller screw mechanism with roller threads modification -- Finite-time H∞ Synchronization Control of Piecewise Homogeneous Markov jumping T-S Fuzzy Discrete Complex Networks Subject to Hybrid Attacks and Uncertainty -- Modeling and Control Algorithm of the Multi-duct-rotor Mode Transformable Aircraft -- VR-based Virtual Surgical Training via Parametric Human Body Modeling -- Key-agent based dynamic prioritized planning for multi-agent systems -- Fixed-time Tracking Control for Robotic Manipulators Based on Adding a Power Integrator Method -- Model-free optimal control for linear systems with state and control inequality constraints -- Binary Consensus of Multi-Agent Systems With Privacy Preserving And Random Communication Noises -- Highway Abandoned Object Detection Based on Foreground Extraction -- YOLO-Based Semantic Segmentation for Dynamic Removal in Visual-Inertial SLAM -- Design and implementation of integrated operations control center based on cloud architecture -- Observability of Edge Dynamics in Complex Networks -- A Modified Orthogonal Experimental Method for Configuration Data Acquisition Planning of Industrial Robots -- Event-Triggered Adaptive Finite-Time Tracking Control for Full States Constrained Robot Manipulators -- Research on Satellite Routing Method Based on Q-learning in Failure Scenarios -- Ensemble Regularized Polynomial Regression for Diagnosing Breast Cancer Subtypes -- Smart Laboratory: A New Smart-manufacturing-technologies-enabled Chemical Experiment Paradigm -- Design and implementation of humanoid robot arm based on human arm mechanism -- A hybrid variable impedance force control method for industrial robots -- Flexo-coupled drive dexterous finger differential motion control -- The hardware in loop simulation system design based on PLC for the process control -- Research on Gas Source Location of quadruped Robot based on DDQN -- A tracking loop method for parallel receiver with low interaction overhead -- Three-channel Decoupling Control for Fighter Aircraft based on PPC and LADRC -- Characterization of Lissajous Scanning Trajectory Based on 2D MEMS Mirror -- SINR Communication Based Fast Predictive Control for CPSs Under DoS Attacks -- Experimental Research on High Strength Steel for Side Milling Processes -- Feature Matching Method Based on Improved SIFT and KLT -- Violation Detection Method Based on Improved YOLOv5s -- A Visual-LiDAR Object Tracking Method Using Correlation Filter And Potential Matching -- A model based on Trend-Seasonal Decomposition and GCN for traffic flow prediction -- Formation Control of Multiple Nonholonomic Wheeled Robots with Disturbances -- Compute a Class of Refinable Function By a Matlab Code and its Figures -- Analysis of Vibration Characteristics and Structural Improvement of Rolling Ball Joint Swinging Nozzle -- Adaptive Tracking Control for Manipulators with Prescribed Performance -- Nighttime Vehicle Object Detection Based on Improved YOLOv7 -- A Demagnetization Fault Diagnosis Strategy for Vehicle Permanent Magnet Synchronous Motor -- Design and implementation of UAV semi-physical simulation system based on VxWorks -- Nonsingular fast terminal sliding mode control of Stewart parallel robot -- Distributed optimization algorithm for multi-agent system with time-varying communication delay based on the game theory -- Distributed Formation Control Based on Linear Model for Power-line Inspection Robots -- A dynamic trust-based access control for multi-domain cloud systems -- On the Digital Intelligence for Online Retail Decision Support -- Modeling and High-Order Differential Feedback Control of Unmanned Helicopter Under Disturbances -- Three-phase single-switch active power factor corrector based on UC1854 -- Study of Digital Test Method for Cable-driven Dexterous Hand -- DETR with Recursive Gated Convolution Encoder -- Discrete Input-to-State Stability with Respect to Boundary and Distributed Disturbances for Balance Laws Systems -- A Remote Mobile Image Acquisition System and Experimental Simulation of Indoor Scenes Based on An RGB-D Camera -- Flexible load market bargaining scheduling strategy for active distribution network based on demand response -- Research on Intelligent Collaboration and Obstacle Avoidance Control of Multiple Parafoils System -- Construction of Knowledge Graphs Related to Industrial Key Production Processes for Query and Visualization -- Multi-objective Optimization Design of the Structural parameters of swing arm crawler rescue robot -- An Anomaly Detection Algorithm for Logs Based on Self-Attention Mechanism and BiGRU Model.
    Abstract: This book constitutes the proceedings of the 19th Chinese Intelligent Systems Conference, CISC 2023, which was held during October 14–15, 2023, in Ningbo, Zhejiang, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behavior, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of aerial vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students.
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  • 69
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031444579
    Language: English
    Pages: 1 Online-Ressource(XIV, 177 p. 48 illus., 37 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Learning and Analytics in Intelligent Systems 34
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1: Fuzzy Logic -- Chapter 2: The role of Fuzzy Logic in Artificial Intelligence and smart applications -- Chapter 3: Fuzzy-based software systems -- Chapter 4: Comparative discussion -- Chapter 5: Conclusions and Discussion.
    Abstract: This book aims to provide information about significant advances of Fuzzy Logic in software systems to researchers, scientists, educators, students, software engineers and developers. In particular, this book explains how Fuzzy Logic, can be used in software systems to automatically predict, model, decide, diagnose, recommend etc.. In more details, Fuzzy Logic is an artificial intelligent technique that is ideal for successfully addressing, , the uncertainty, imprecision and vagueness that exist in many diverse scientific and technological areas. It was introduced by Lotfi A. Zadeh of the University of California at Berkeley, as a methodology for computing with words. This ability of Fuzzy Logic allows the representation of imprecise and vague data in a more realistic way. Therefore, Fuzzy Logic-based systems can simulate the human reasoning and decision-making processes, addressing the human subjectivity. Fuzzy Logic-based software systems are referred to any software that concerns an automated program or process that is used in everyday life, like heating or air-conditioning system, or in the scientific world, like a medical diagnostic system, which uses Fuzzy Logic in order to perform reasoning. A Fuzzy Logic-based system consists of three basic modules: Fuzzifier, Inference Engine and Defuzzifier. The Fuzzifier accepts as input numerical data and assigns them to fuzzy sets with some degree of membership, converting crisp data to fuzzy sets. The Inference Engine applies fuzzy rules over the defined fuzzy sets and produces outputs based on linguistic information. The Defuzzifier, converts fuzzy values into crisp values. The use of Fuzzy Logic in software systems constitutes a compelling and active research area in recent years, especially due to the increased interest in artificial intelligence. In the view of the above, this book presents thoroughly the Fuzzy Logic theory and the structure and operation of a Fuzzy Logic-based system. It also explains the role of Fuzzy Logic in artificial intelligence and smart applications, presenting how it can improve the efficiency and effectiveness of automatic processes and tasks. Furthermore, the book describes techniques of artificial intelligence with which the fuzzy logic is combined and how. Furthermore, this book presents several Fuzzy Logic-based software systems in the discipline of medicine, education, decision making and recommendation, natural language processing, automotive engineering and industry, heating, ventilation and air-conditioning, navigation, scheduling, network traffic and security. Thereby, this book can provide deep insights and valuable information not only to readers of computer science-related disciplines, but also to readers, who come from a variety of disciplines and are interesting in systems that perform tasks related to their discipline, in a more efficient way.
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  • 70
    ISBN: 9789819926022
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 759 p. 453 illus., 394 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 680
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer vision. ; Signal processing.
    Abstract: Empirical Study of Multi-class Weed Classification using Deep Learning Network through Transfer Learning -- Secured Face Recognition System Based on Block Chain with Machine Learning -- Classifying Paintings/Artworks Using Deep Learning Techniques -- Hybrid Deep Face Music Recommendation Using Emotions -- Integrating ResNet18 and YOLOv4 for Pedestrian Detection -- Image Restoration from Weather Degraded Images Using Markov Random Field.
    Abstract: This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2022),” hosted by Manipal University Jaipur, Rajasthan, India, on 24–25 November 2022. The book includes a collection of innovative ideas from researchers, scientists, academics, industry professionals and students. The book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.
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  • 71
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819946419
    Language: English
    Pages: 1 Online-Ressource(XIII, 432 p. 84 illus., 75 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 133
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Virtual reality. ; Augmented reality. ; Artificial intelligence. ; Machine learning. ; Blockchains (Databases).
    Abstract: Introduction -- Technologies -- Social Topics -- Industrial Applications.
    Abstract: This book has a multidisciplinary approach to Metaverse studies and the relevance of Metaverse with the current and popular topics that concern society and how it will change them in the future. In addition, academic texts are included since not much scientific content is available in this field. In short, there are sections in the book that everyone will find useful. Most importantly, the topics are grouped under four main parts. The first is the Introduction, where the main issues are explained. In the second section—Technical Topics, the technological infrastructure of the subject is explained, followed by section three where the social and human dimensions of Metaverse are explained. The fourth and final section is on Industrial Applications.
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  • 72
    ISBN: 9789819957927
    Language: English
    Pages: 1 Online-Ressource(XIV, 264 p. 172 illus., 135 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Control engineering. ; Quantitative research.
    Abstract: The book presents best selected research papers presented at the Fourth International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2023), organized by Arya College of Engineering and IT, Jaipur, on April 28–29, 2023. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.
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  • 73
    ISBN: 9783031462214
    Language: English
    Pages: 1 Online-Ressource(XVIII, 245 p. 89 illus., 55 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1119
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book includes a set of selected revised and extended versions of the best papers presented at the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) – held as an online event, from October 25 to 27, 2021. We focus on three outstanding fields of Computational Intelligence through the selected panel, namely: Evolutionary Computation, Fuzzy Computation, and Neural Computation. Besides presenting the recent advances of the selected areas, the book aims to aggregate new and innovative solutions for confirmed researchers and on the other hand to provide a source of information and/or inspiration for young interested researchers or learners in the ever-expanding and current field of Computational Intelligence. It constitutes a precious provision of knowledge for individual researchers as well as represent a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.
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  • 74
    Online Resource
    Online Resource
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    ISBN: 9783031433009
    Language: English
    Pages: 1 Online-Ressource(XIII, 597 p. 79 illus., 71 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1113
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Factors Influencing Entrepreneurial Intention During COVID-19 Crisis: The Case of Kuwait -- The relationship between e-finance and e-commerce: evidence from 100 countries -- A lightweight block cipher for securing sensitive healthcare data for hospitals in Karnataka -- Arabic Text Categorization Algorithm Using Vector Space Model -- An evaluation of core factors of predictive analytics in influencing purchase decision of the consumers in e-business -- Artificial Intelligence and stock Trading Decisions -- Climatic Variations on Indian Agricultural Productivity -- Digital transformation in Gulf banks during the Corona Pandemic -- Investment Decision of individual investors: A state-of-the-art literature review -- The Introduction of Interior Design and Architecture into the Metaverse and their Interrelation to the Reality-Enhancing Technologies -- Comparison between Zakat and Income Tax Receipts from Jordanian Companies' sectors -- Applying Knowledge Management in Chatbot Engineering: A Case Study to Improve Customer Satisfaction in the Public Sector in Bahrain. -- Firms’ Cybersecurity and Managerial Opportunistic Practices: Future directions -- Literature Review reviewing literature about the role of Forensic Accounting in detecting and preventing Fraud in Financial Statements -- Empirical Review of Measuring Corporate Social Responsibility in the Sultanate of Oman -- Relationship Between Entreprenurial Education and Intention to Start A Business In Bahrain -- Accountancy Profession in the Age of the Digital Transformation -- Satisfaction and Loyalty for the Patients in The Jordanian Health Care Sector -- Being ‘Social’ on social media: Is it Bad for Your Mental Health? -- Forensic Accounting and Cybersecurity: A Literature Review Paper -- An analytical Study on the Estimation of Compensation for Risks of bodily injury in traffic accidents in accordance with Arab GCC countries' legislation -- Marketing Factors Affecting the Attraction of Retail Customers in the Jordanian Islamic Banks: An Empirical Study of Ijara Termination with Ownership Customers in Islamic International Arab Bank-IIAB -In Zarqa City/ Jordan -- The Role of social media in Improving Institutional Reputation -- Role of Artificial Intelligence in Smart Metering System for Water Distribution -- Bibliometric Analysis of Network Marketing for Business Sustainability Using Co-Citation Method -- Customer Acceptance on Usage of Telemedicine Application: Technology Acceptance Model (Tam) -- Artificial Intelligence and the Future of Accounting Profession: Implications and Challenges -- Learning from Digital Sources for Quick Learning -- Impact of Information and Communication Technology (ICT) On Labor Productivity of Palestinian Manufacturing Firms -- Artificial Intelligence and its Impact on Accounting Systems -- Digital data in management accounting control and its impact on the inventory -- Does Cognitive bias and Risk perception impact investment decision? Women investors’ Perspective -- The Impact of Strategic Thinking on Enhancing Competitive Advantage (A Case Study: Jordanian Pharma-ceutical Manufacturing Companies) -- The Effectiveness of Online Flipped Learning Using the UTAUT Model for Outstanding Students in Jordan -- Issues in Electronic Distance Learning -- The Conceptual Supply Chain Framework and Configuration for Higher Education Sector in India -- Simplifying Microservices Migration with Advanced Genetic Algorithms -- Using Arduino to Control a Wi-Fi Based Home Au-tomation System in the Cloud -- A Comprehensive Review of Machine Learning-Based Intrusion Detection Techniques for IoT Networks -- Economic Analysis of Road Infrastructure Growth for Sustainable Trucking Operation in India: An Empirical Study -- The Impact of Artificial Intelligence on Healthcare Area – A Systematic Review -- The Impact of E-Commerce on SME Sustainability During Crisis Time: Customer Perception -- The Impact of Using Computer Simulation Model for Accounting Information System in Improving the Quality of Governance in Pharmaceutical Industry Companies in Jordan -- India moving ahead with Sustainable Transportation – A case study of consumer perception towards E-Charging stations in India via social media analysis -- The Impact of the Characteristics of Accounting Information Systems on the Quality of Integrated Reports in the Industrial Companies Listed on the Amman Stock Exchange -- A Study on Social Media Impact on Consumer Behavior of Commercial Bank Customers: The case of Bangalore City -- Smooth Change: Moving from Monolithic to Micro-services with Flexible Methods -- Toward Serverless & Microservices Architecture:Literature, Methods, and Best Practices -- Navigating Serverless and Microservices: Concise Guide.
    Abstract: This book unlike any other previous book provides a platform for scholars and researchers to present the latest insights and findings on the application of artificial intelligence and other sustainable technologies for a human-centric society. It brings together technology with society with special attention given to AI and IoT-related intricacies for a digital economy. It covers a variety of research topics including block ciphers, network marketing for sustainability entrepreneurship and AI, AI and stock trading decisions, digital transformation, knowledge management, chatbot engineering, cybersecurity, and smart metering system. The book is a comprehensive reference work for scholars, academics, policymakers, students, and professionals presenting an overall understanding of AI, its present and future trends, and presents a discourse on important policies and strategies on inclusivity, diversity, bias, accountability, security, metaverse applications of AI, and other technologies such as IoT.
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  • 75
    ISBN: 9783031448072
    Language: English
    Pages: 1 Online-Ressource(XII, 230 p. 1 illus.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Cryptography. ; Data encryption (Computer science). ; Artificial intelligence.
    Abstract: Introduction -- The Cross-Impact between Cryptography and Artificial Intelligence -- II Past: War and Peace -- The Dichotomy of Crypto and NN -- III Present: Coevolution -- AI Makes Crypto Evolve -- Crypto Makes AI Evolve -- IV From a Dichotomy to a Trichotomy- Quantum Computing: The Third Vertex of the Triangle -- Chaotic Image Encryption: State-of-the-Art, Ecosystem and the Promise of Quantum-Inspired AI -- Information-Theoretic Cryptography: Life Cycle, Ecosystem and the Promise of Quantum-Inspired AI -- Further Works -- Conclusion.
    Abstract: This book studies the intersection between cryptography and AI, highlighting the significant cross-impact and potential between the two technologies. The authors first study the individual ecosystems of cryptography and AI to show the omnipresence of each technology in the ecosystem of the other one. Next, they show how these technologies have come together in collaborative or adversarial ways. In the next section, the authors highlight the coevolution being formed between cryptography and AI. Throughout the book, the authors use evidence from state-of-the-art research to look ahead at the future of the crypto-AI dichotomy. The authors explain how they anticipate that quantum computing will join the dichotomy in near future, augmenting it to a trichotomy. They verify this through two case studies highlighting another scenario wherein crypto, AI and quantum converge. The authors study current trends in chaotic image encryption as well as information-theoretic cryptography and show how these trends lean towards quantum-inspired artificial intelligence (QiAI). After concluding the discussions, the authors suggest future research for interested researchers. Studies the synergetic interaction of AI and crypto, leading to a coevolution process; Discusses the impact of the quantum revolution on the future of the dichotomy of AI and crypto; Investigates the interaction among quantum computing, AI and crypto in a systematic way.
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  • 76
    ISBN: 9789819959747
    Language: English
    Pages: 1 Online-Ressource(XII, 802 p. 360 illus., 300 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1078
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Application software. ; Artificial intelligence. ; Machine learning.
    Abstract: Cloud computing and Virtualization -- Computer Network and Sensors -- Big Data and Data Mining -- Artificial Intelligence and its applications in Smart Education -- Cloud Computing enabling Technologies and their applications -- Image/ Video Processing -- Algorithm and Design -- IoT and Automation -- Software Engineering -- Soft Computing -- Machine Learning applications in Smart Healthcare, Manufacturing and Smart Transportation -- Image Processing applications in Smart Agriculture -- Security and Privacy Challenges and Data Analytics -- Challenges of Smart Cities and Future research directions -- Application of Artificial Intelligence and Machine Learning in production and Mechanical Engineering systems -- Applications of Artificial Intelligence and Machine learning in Biotechnology -- Infrastructure and Resource Development & Management using Artificial Intelligence and Machine learning.
    Abstract: This volume comprises the select peer-reviewed proceedings of the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also covers research in core concepts of computers, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, software engineering, image processing, and cloud computing. This volume will provide a valuable resource for those in academia and industry.
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  • 77
    ISBN: 9783031467783
    Language: English
    Pages: 1 Online-Ressource(X, 358 p. 125 illus., 93 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 751
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Forcing the Network to use Human Explanations in its Inference Process -- Fuzzy Inference System-based Collision Avoidance of Unmanned Aerial Vehicles Optimized using Genetic Algorithm -- Fuzzy Logic-aided Inverse Kinematics Control for Redundant Manipulators -- Growth Kinetics of Gold Nanoparticles via p-fuzzy systems -- Optimization of Artificial Potential Field using Genetic Algorithm for Human-aware Navigation of Autonomous Mobile Robots -- Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game -- Deep Learning ANFIS Architectures -- A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory -- Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty -- People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon.
    Abstract: This book is an overview of latest successes and applications of fuzzy techniques—techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior. In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.
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  • 78
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819974429
    Language: English
    Pages: 1 Online-Ressource(XVI, 96 p. 20 illus., 15 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Big data.
    Abstract: Introduction -- Active learning – what, when, and where to deploy? -- Active learning – review (cases) -- Active learning – methodology -- Active learning – validation -- Case study: Is my cough sound Covid-19?.
    Abstract: Future epidemics are inevitable, and it takes months and even years to collect fully annotated data. The sheer magnitude of data required for machine learning algorithms, spanning both shallow and deep structures, raises a fundamental question: how big data is big enough to effectively tackle future epidemics? In this context, active learning, often referred to as human or expert-in-the-loop learning, becomes imperative, enabling machines to commence learning from day one with minimal labeled data. In unsupervised learning, the focus shifts toward constructing advanced machine learning models like deep structured networks that autonomously learn over time, with human or expert intervention only when errors occur and for limited data—a process we term mentoring. In the context of Covid-19, this book explores the use of deep features to classify data into two clusters (0/1: Covid-19/non-Covid-19) across three distinct datasets: cough sound, Computed Tomography (CT) scan, and chest x-ray (CXR). Not to be confused, our primary objective is to provide a strong assertion on how active learning could potentially be used to predict disease from any upcoming epidemics. Upon request (education/training purpose), GitHub source codes are provided.
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  • 79
    ISBN: 9783031416309
    Language: English
    Pages: 1 Online-Ressource(XI, 246 p. 95 illus., 74 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 766
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Pattern recognition systems. ; Signal processing. ; Computer vision.
    Abstract: A novel approach of multi-string parsing for syntactic pattern recognition -- Hollow n-grams vectorizer for Natural Language Processing problems -- A non-deep approach to classifying movie genres based on multimodal data -- Incremental Extreme Learning Machine for Binary Data Stream Classification -- Interpreting Intrusions - The Role of Explainability in AI-based Intrusion Detection System -- Real-time deformation of three-dimensional volumetric models using mesh models -- Hyperparameters Optimization using GridSearchCV Method for TinyML models -- Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy -- Deep Learning for pit detection in cherries -- Image analysis system for augmented reality games -- Coregistration of selected sequences in MRI imaging based on edge analysis of image difference -- Actinic Keratosis Prediction Based on Deep Learning Methods -- A New Assessment of Convolutional Neural Networks for Texture Directionality Detection -- Knowledge Distillation with Relative Representations for Image Representation Learning -- An Approach for CT Image Conversion Using Filtering Based on Quaternion Mathematics -- Exploring Text-Guided Synthetic Distribution Shifts for Robust Image Classification -- Color Tracking Application Using AI-based Docker Container Scheduling in Fog Computing -- Air pollution monitoring and information distribution system -- Detection of conspiracy theories from tweets using NLI-based Zero Shot Text Classification models -- Battery management system for Polish hybrid residential photovoltaic power plants -- Document Annotation Tool For News Content Analysis -- Dynamic time warping technique applied to the user’s intent recognition for myoelectric-based control of upper limb prosthesis -- A Hybrid Long Short-Term Memory Network Based on Wind and Rain Sensitive and its Application to PM2.5 Prediction.
    Abstract: This book presents a collection of high-quality research papers accepted to multi-conference consisting of the 13th International Conference on Image Processing and Communications (IP&C 2023), the 13th International Conference on Computer Recognition Systems (CORES 2023) held jointly in Wroclaw, Poland (virtually), in June 2023. The accepted papers address current computer science and computer systems-related technological challenges and solutions, as well as many practical applications and results. The first part of the book deals with advances in pattern recognition and classifiers, the second part is devoted to image processing and computer vision, while the third part addresses practical applications of computer recognition systems. We believe this book will be interesting for researchers and practitioners in many fields of computer science and IT applications.
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  • 80
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031426377
    Language: English
    Pages: 1 Online-Ressource(XVII, 246 p. 91 illus., 73 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Computer networks ; Artificial intelligence. ; Computer crimes. ; Cooperating objects (Computer systems).
    Abstract: Part. I. AI/ML for Digital Forensics -- Chapter. 1. Writer-dependent Off-line Signature Verification with Neural Networks -- Chapter. 2. Political Activism and Technology -- Chapter. 3. Forensic Proof and Criminal Liability for Development, Distribution and Use of Artificial Intelligence -- Part. II. AI/ML for CPS -- Chapter. 4. Automotive Batteries as Anomaly Detectors -- Chapter. 5. Zero Trust Architecture For Cyber-Physical Power System Security Based on Machine Learning -- Chapter. 6. AI-enabled Real-time Sensor Attack Detection for Cyber-physical Systems -- Part. III. AI/ML for Cyber Analysis -- Chapter. 7. Generating Vulnerable Code via Learning-Based Program Transformation -- Chapter. 8. Security and Privacy Problems in Self-Supervised Learning -- Chapter. 9. Federated Learning for IoT Applications, Attacks and Defense Methods -- Chapter. 10. AI Powered Correlation Technique to Detect Virtual Machine Attacks in Private Cloud Environment -- Chapter. 11. Detecting Fake Users in Online Social Networks -- Chapter. 12. Explaining Deep Learning based Security Applications -- Glossary -- Index.
    Abstract: The rapid growth and reliance on cyber systems have permeated our society, government, and military which is demonstrated in this book. The authors discuss how AI-powered cyber systems are designed to protect against cyber threats and ensure the security and reliability of digital systems using artificial intelligence (AI) technologies. As AI becomes more integrated into various aspects of our lives, the need for reliable and trustworthy AI systems becomes increasingly important. This book is an introduction to all of the above-mentioned areas in the context of AI Embedded Assurance for Cyber Systems. This book has three themes. First, the AI/ML for digital forensics theme focuses on developing AI and ML powered forensic tools, techniques, software, and hardware. Second, the AI/ML for cyber physical system theme describes that AI/ML plays an enabling role to boost the development of cyber physical systems (CPS), especially in strengthening the security and privacy of CPS. Third, the AI/ML for cyber analysis theme focuses on using AI/ML to analyze tons of data in a timely manner and identify many complex threat patterns. This book is designed for undergraduates, graduate students in computer science and researchers in an interdisciplinary area of cyber forensics and AI embedded security applications. It is also useful for practitioners who would like to adopt AIs to solve cyber security problems.
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  • 81
    ISBN: 9783031503306
    Language: English
    Pages: 1 Online-Ressource(XVII, 362 p. 137 illus., 114 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 852
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment. .
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  • 82
    ISBN: 9783031501586
    Language: English
    Pages: 1 Online-Ressource(XIX, 425 p. 142 illus., 102 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 855
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment. .
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  • 83
    ISBN: 9783031170409
    Language: English
    Pages: 1 Online-Ressource(XII, 116 p. 6 illus., 5 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: SpringerBriefs in Research and Innovation Governance
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Technology—Moral and ethical aspects. ; Technology—Philosophy. ; Artificial intelligence. ; Computers and civilization. ; Technology ; Technology
    Abstract: Chapter 1. Introduction -- Chapter 2. Why Case Studies? -- Chapter 3. Discrimination -- Chapter 4. Privacy -- Chapter 5. Surveillance capitalism -- Chapter 6. Manipulation -- Chapter 7. Life, Liberty and Security of Person -- Chapter 8. Dignity -- Chapter 9. Unemployment -- Chapter 10. International Justice -- Chapter 11. Conclusion -- Index.
    Abstract: This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, ethics, politics, philosophy, economics) to policy-makers, lobbying NGOs, teachers and the educated public.
    Note: Open Access
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  • 84
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789811945946
    Language: English
    Pages: 1 Online-Ressource(XI, 237 p. 192 illus., 1 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Machine learning. ; Artificial intelligence. ; System theory. ; Control theory.
    Abstract: Introduction -- Linear Time Series Modeling -- Deep Learning AI Modeling -- LSTM AI Modeling -- Optimal Control by Time-Series AI Model -- The Reality of Time Series Learning Data Collection -- Practical Work on Time Series AI Modeling.
    Abstract: This book describes the practical application of artificial intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be controlled in the field of system control. Since dynamic systems are not stable steady states but changing transient states, the changing transient states depend on the state history before the change. In other words, it is essential to predict the change from the present to the future based on the time history of each variable in the target system, and to manipulate the system to achieve the desired change. In short, time series is the key to the application of AI machine learning to system control. This is the philosophy of this book: "time series data" + "AI machine learning" = "new practical control methods". This book can give my helps to undergradate or graduate students, institute researchers and senior engineers whose scientific background are engineering, mathematics, physics and other natural sciences.
    URL: Cover
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  • 85
    ISBN: 9789811914843
    Language: English
    Pages: 1 Online-Ressource(XII, 236 p. 163 illus., 132 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Artificial intelligence—Data processing. ; Image processing—Digital techniques. ; Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Computer vision. ; Image processing ; Artificial intelligence
    Abstract: Chapter 1. A Deep Learning Approach To Analyze Traffic Congestions For Effective Traffic Management -- Chapter 2. Building Energy Consumption Prediction Model using Machine Learning -- Chapter 3. An End-to-End GUI based Real Time Attendance System by Training Annotated Facial Data on YOLO v3 Algorithm -- Chapter 4. A Multi-factor Security Protocol for Wireless Payment-Secure Web Authentication using Mobile Devices -- Chapter 5. IoT Based Greenhouse Monitoring -- Chapter 6. HOME AUTOMATION USING TELEGRAM BOT -- Chapter 7. Application of IoT in Hospital Management -- Chapter 8. Vehicle Tracking by Using IOT Applications -- Chapter 9. Smart Vehicle and Smart Parking System using IOT -- Chapter 10. Automatic Water Irrigation System using IoT -- Chapter 11. Development of Safety Monitoring for an IOT-enabled smart Environment -- Chapter 12. LOW-COST ECG BASED HEART MONITORING SYSTEM WITH UBIDOTS PLATFORM -- Chapter 13. Design of hybrid soft computing techniques for estimation of suspended sediment yield in Krishna River, India -- Chapter 14. QR BASED TICKET VERIFICATION AND PARKING SYSTEM -- Chapter 15. Design and Analysis of Uniformly Illuminated 8-way Wilkinson Power Divider for L-Band Applications.
    Abstract: This book includes the original, peer-reviewed research articles from the 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 – 22, 2021, at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.
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  • 86
    ISBN: 9789811952401
    Language: English
    Pages: 1 Online-Ressource(X, 228 p. 45 illus., 38 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 908
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Science—Social aspects. ; Computational intelligence. ; Big data. ; Artificial intelligence. ; Science
    Abstract: Chapter 1. Context-Aware Classrooms as Places for an Automated Analysis of Instructional Events Philippe Dessus -- Chapter 2. Student smartphone experience narratives mediated by the phygital school library for learning ecosystems -- Chapter 3. Space and time in hybrid teaching and learning environments: two cases and design principles -- Chapter 4. The Italian School Ecosystems two years after the lockdown: an overview on the "digital shock" triggered by the pandemic in the perceptions of schools’ principals and teachers -- Chapter 5. Automated Paragraph Detection using Cohesion Network Analysis -- Chapter 6. Assessing Readability Formulas in the Wild -- Chapter 7. pROnounce: Automatic Pronunciation Assessment for Romanian -- Chapter 8. Community pacts and we4SLE as tools to support the implementation of Smart Learning Ecosystems -- Chapter 9. Digital Games as Tools of Innovative Pedagogy in Education -- Chapter 10. Environment Challenges of E-learning in Higher Education – the Teachers’ Perspective -- Chapter 11. Parents' voices: inclusion of students with Intellectual and Developmental Disabilities in higher education -- Chapter 12. Deidentification of Student Writing in Technologically Mediated Educational Settings -- Chapter 13. Conceptualising Micro-Credentials in the Higher Education Research Landscape. A Literature Review -- Chapter 14. Reaction of the university ecosystem to the pandemics in a mid-east country: the case of IRAQ - A compared analysis of students' and teachers' perceptions.
    Abstract: The book brings together the contributions of the 7th International Conference on Smart Learning Ecosystems and Regional Development (SLERD 2022), which aims at promoting reflection and discussion concerning R&D work, policies, case studies, and entrepreneur experiences with a special focus on understanding the relevance of smart learning ecosystems (e.g., schools, campus, working places, informal learning contexts, etc.) for regional development and social innovation and how the effectiveness of the relation of citizens and smart ecosystems can be boosted. This forum has a special interest in understanding how technology mediated instruments can foster the citizen’s engagement with learning ecosystems and territories, namely by understanding innovative human-centric design and development models/techniques, education/training practices, informal social learning, innovative citizen-driven policies, technology mediated experiences, and their impact. This set of concerns will contribute to foster the social innovation sectors and ICT and economic development and deployment strategies alongside new policies for smarter proactive citizens.
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  • 87
    ISBN: 9783031082467
    Language: English
    Pages: 1 Online-Ressource(XXVII, 457 p. 182 illus., 130 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 226
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.
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  • 88
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031117480
    Language: English
    Pages: 1 Online-Ressource(VIII, 371 p. 90 illus., 80 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Adaptation, Learning, and Optimization 27
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: An Introduction to Federated and Transfer Learning -- Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art -- Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms -- Cross-silo Federated Neural Architecture Search for Heterogeneous and Cooperative Systems -- A Unifying Framework for Federated Learning -- A Contract Theory based Incentive Mechanism for Federated Learning -- A Study of Blockchain-based Federated Learning -- Swarm Meta Learning -- Rethinking Importance Weighting for Transfer Learning -- Transfer Learning via Representation Learning -- Modeling Individual Humans via a Secondary Task Transfer Learning Method -- From Theoretical to Practical Transfer Learning: The Adapt Library -- Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning -- A Study on Efficient Reinforcement Learning Through Knowledge Transfer -- Federated Transfer Reinforcement Learning for Autonomous Driving.
    Abstract: This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.
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  • 89
    ISBN: 9789811921261
    Language: English
    Pages: 1 Online-Ressource(XII, 478 p. 233 illus., 171 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Big data. ; Computer engineering. ; Computer networks .
    Abstract: Automatic Pathological Myopia detection using Ensemble Model -- Biased Online Media Analysis Using Machine Learning -- Multi-Robot Formation Control using Integral Third Order Super-Twisting Controller in Cyber-Physical Framework -- Visually Guided UGV for Autonomous Mobile Manipulation in Dynamic and Unstructured GPS Denied Environments -- Dynamics and Control of Quadrupedal Robot -- Automated Identification of Tachyarrhythmia from Different Datasets of Heart Rate Variability using a Hybrid Deep Learning Model -- Application of Complex Network Principles to Identify Key Stations in Indian Railway Network -- A review on transliterated text retrieval for Indian languages -- Disturbance Observer based Sliding Mode Controller with Mismatched Disturbance for Trajectory Tracking of a Quadrotor -- An Intelligent Game Theory Approach for Collision Avoidance of Multi-UAVs -- Revolutionary Solutions for Comprehensive Assessment of COVID–19 Pandemic -- Learning-Based Smart Parking System -- Coverless Information Hiding: A Review -- Manipulating muscle activity data from Electromyography for various applications using artificial intelligence -- Aerial Object Detection using Different Models of YOLO Architecture: A Comparative Study -- Anomalous Human Activity Detection using Stick Figure and Deep Learning Model -- Noise Removal in ECG Signals utilizing Fully Convolutional DAE -- Sensor-Based Secure Framework for IOT based Smart Homes -- Sketch-based face recognition -- Simplified TOPSIS for MLN-MODM problems -- Hidden Markov Modelling for Biological Sequence -- A Novel Ensemble Model to Summarize Kannada texts.
    Abstract: The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2021) held online during 27–28 December, 2021. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
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  • 90
    ISBN: 9783031176975
    Language: English
    Pages: 1 Online-Ressource(XIV, 787 p. 452 illus., 397 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 539
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book presents a collection of articles on the advanced and interdisciplinary application of innovative technologies. Scientific investigations and results of the conference 13th Days of Bosnian-Herzegovinian American Academy of Art and Sciences held in Sarajevo, Bosnia and Herzegovina, June 23-26, 2022, are presented in this book. The up-to-date advances in various fields of engineering have been presented through numerous papers spanning the disciplines of civil engineering, mechanical engineering, advanced electrical power systems, computer modeling and simulations for engineering applications, computer science and artificial intelligence, geodesy and geoinformation, data science and geographic information systems and information and communication technologies. The editors would like to extend special gratitude to all the chairs of the planned symposia of the 13th Days of BHAAAS for their dedicated work in the production of this book.
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  • 91
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031164002
    Language: English
    Pages: 1 Online-Ressource(XIV, 423 p. 1 illus.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1062
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Algebraic function induced Banach space valued ordinary and fractional neural network approximations -- Gudermannian function induced Banach space valued ordinary and fractional neural network approximations -- Generalized symmetrical sigmoid function induced Banach space valued ordinary and fractional neural network approximations -- Abstract multivariate algebraic function induced neural network approximations -- General multivariate arctangent function induced neural network approximations -- Abstract multivariate Gudermannian function induced neural network approximations -- Generalized symmetrical sigmoid function induced neural network multivariate approximation -- Quantitative Approximation by Kantorovich-Choquet quasi-interpolation neural network operators revisited -- Quantitative Approximation by Kantorovich-Shilkret quasi-interpolation neural network operators revisited -- Voronsovkaya Univariate and Multivariate asymptotic expansions for sigmoid functions induced quasi-interpolation neural network operators revisited -- Univariate Fuzzy Fractional various sigmoid function activated neural network approximations revisited -- Multivariate Fuzzy Approximation by Neural Network Operators induced by several sigmoid functions revisited -- Multivariate Fuzzy-Random and stochastic various activation functions activated Neural Network Approximations.
    Abstract: This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are Banach space valued. These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian, and generalized symmetric sigmoid functions. Ordinary, fractional, fuzzy, and stochastic approximations are exhibited at the univariate, fractional, and multivariate levels. Iterated-sequential approximations are also covered. The book’s results are expected to find applications in the many areas of applied mathematics, computer science and engineering, especially in artificial intelligence and machine learning. Other possible applications can be in applied sciences like statistics, economics, etc. Therefore, this book is suitable for researchers, graduate students, practitioners, and seminars of the above disciplines, also to be in all science and engineering libraries.
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  • 92
    ISBN: 9783031199585
    Language: English
    Pages: 1 Online-Ressource(XXI, 1200 p. 513 illus., 386 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 569
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Development of UAV Deployment System using Split Ring Compound Planetary Gear System -- Factors influencing the development of digital citizenship on social media platforms: Narrative review -- A Policy Framework for Improving E-Waste Management in Bangladesh -- Impact of Financial Inclusion on Social and Economic Wellbeing of households: A Case of Kaski District, Nepal -- Minimizing E-Waste Through Improved Virtualization -- A Hybrid Hotel Recommendation Using Collaborative, Content Based and Knowledge Based approach -- Training Tracker: A Training Management System -- Analysis and Forecasting of Final Household Expenditure in South Africa Using Box-Jenkins – ARIMA Model.
    Abstract: This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green ICT, Smart Intelligence and Machine Learning! It is a Master Piece of what our community of academics and experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Modern Operational Research and Experience of the World-Leader Springer Nature! The 5th edition of International Conference on Intelligent Computing and Optimization took place at October 27–28, 2022, via Zoom. Objective was to celebrate “Creativity with Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the planet, to share knowledge, experience, innovation—a marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of ICO’2022 is published by Springer Nature—Quality Label of wonderful. .
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  • 93
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031128073
    Language: English
    Pages: 1 Online-Ressource(XXII, 256 p. 86 illus., 64 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 232
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Machine learning. ; Artificial intelligence.
    Abstract: Black Box Models for eXplainable Artificial Intelligence -- Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why? -- An Overview of Explainable AI Methods, Forms and Frameworks.
    Abstract: This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
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  • 94
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031181542
    Language: English
    Pages: 1 Online-Ressource(XII, 275 p. 160 illus., 145 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 234
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Gynecology . ; Midwifery. ; Machine learning.
    Abstract: Baby fever -- Planning a pregnancy with Artificial Intelligence -- “We’re pregnant!”. Artificial Intelligence by your side.
    Abstract: This book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery. The book is designed for bioinformaticians, obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.
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  • 95
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031115936
    Language: English
    Pages: 1 Online-Ressource(XXII, 281 p. 107 illus., 83 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 230
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Living beyond data with Feature Concepts -- Innovation for the Real-World through Knowing Why -- Why Abductive Cognition Goes Beyond Just Learning from Data. .
    Abstract: This book states that data users often suffer from the difficulty of acquiring knowledge for decision-making, and others are unsure how existing data are useful. The reader will be released from these dilemmas and enabled to act beyond patterns in past events by creating a process to interact with the data market and the dynamic real-world rich in new events. We present new approaches from the aspects of computation, communication, and their integration, to readers including analysts in sciences and businesses, systems managers, and learners desiring to design knowledge to learn. We show clues to explaining causalities in the target world of a black-box AI of which users may seek a predictive performance. For obtaining interpretable knowledge, we show the integration of model- and data-driven approaches, the analysis and perception of signals from data acquired in the cyber or the real word, and creative communication which connects demands to data by visualizing the data market as a place for innovations.
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  • 96
    ISBN: 9789811977800
    Language: English
    Pages: 1 Online-Ressource(XVI, 459 p. 134 illus., 104 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 331
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Agriculture. ; Artificial intelligence. ; Mechanical engineering.
    Abstract: Stimulating the Export of Organic Products -- Risks in Animal Feeding and Digital Methods of Their Analysis -- Specific Approaches to Robotic Milking with Different Cow Movement Systems -- Fish-Breeding Technological Cadastre as a Mechanism for the Development of Aquaculture in the Kaliningrad Region -- Towards the Managed Transition to Organic Agriculture: Searching for a Strategic Model -- Smart Technologies in Bio-Intensive Organic Agriculture.
    Abstract: This book includes selected papers from the Second International Conference on Agriculture Digitalization and Organic Production (ADOP 2022), held in St. Petersburg, Russia, during June 06–08, 2022. The topics covered in the book are ground robotic systems in crop production, unmanned aerial vehicles in crop production, aerospace monitoring tools in crop production, robotic animal husbandry, digitalization of technological processes of agricultural production, evaluation of the effectiveness of digital technologies for the production of organic products, rational nature management and ecology in agricultural production, technologies for the production of organic agricultural products, market analysis of organic agricultural products, and legal aspects of organic production.
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  • 97
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031196041
    Language: English
    Pages: 1 Online-Ressource(XIII, 216 p. 89 illus., 58 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1074
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: A-IDE: A Non-intrusive Cross-platform Development Environment for AVR Programming in Assembly -- Develop a Horizontal Virtual Frame by Adding Field of View Restrictions to Reduce VR Sickness -- Represent Score as the Measurement of User Influence on Twitter -- The Experience of Developing a FAT File System Module in the Rust Programming Language -- Factors Influencing Consumers’ Online Grocery Shopping under the New Normal -- Skeletal Muscle Segmentation at the Third Lumbar Vertebral Level in Radiotherapy CT Images -- Speed-up Single Shot Detector on GPU with CUDA -- An Empirical Study on the Economic Factors Affecting on the Export of Defense Industry Using Hofstede’s Cul-ture Dimension Theory -- A Study on the Application of Blockchain Technology in Non-Governmental Organizations -- Confidential Documents Sharing Model based on Blockchain Environment -- Distance Based Clustering Method for the Wireless Sen-sor Network -- Study on OSINT-based security control monitoring utilization plan -- A Study on the Strategy of SWOT Extraction in the Metavers Platform Review Data : Using NLP Techniques -- Does facial expression accurately reveal true emotion? Evidence from EEG signal -- NSGA-II-AMO: a Faster Genetic Algorithm for QWSCP.
    Abstract: This book presents scientific results of the 23rd ACIS International Summer Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2022-Summer) which was held on July 4-6, 2022, at Kyoto City, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications, and tools) of computer and information science and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.
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  • 98
    ISBN: 9789811949296
    Language: English
    Pages: 1 Online-Ressource(XXIII, 641 p. 98 illus., 79 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Fuzziness and Soft Computing 420
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Mathematical optimization. ; Operations research.
    Abstract: Chapter 1. Generalized Dombi weighted aggregation operators for Multi-attribute decision-making with hesitant fuzzy information -- Chapter 2. A novel extended Fermatean fuzzy framework for evaluating the challenges to sustainable smart city development -- Chapter 3. Nonlinear Scaled Preferences in Linguistic Multi-Criteria Group Decision Making -- Chapter 4. Fermatean Fuzzy Combined Compromise Solution Multiple expert Multiple Criteria Decision Making Approach -- Chapter 5. Multi-criteria decision analysis and fuzzy-decision-making trial and evaluation laboratory (MCDA and F-DEMATEL) method for flipped and sustainable mathematics teaching as a real-life application -- Chapter 6. Accounting for uncertainty and disagreement in multi-criteria decision making using triangular fuzzy numbers and Monte Carlo simulation: A case study about selecting measures for remediation of agricultural land after radioactive contamination -- Chapter 7. An IT2FBWM model to highlight the significance of factors uti-lized in determining p demic hospital site selection -- Chapter 8. Group decision-making analysis under interval-valued q-rung orthopair fuzzy soft expert sets -- Chapter 9. Information Aggregation Approaches for Multi-Criteria Applications -- Chapter 10. Generalized Interval-Valued Intuitionistic Hesitant Fuzzy Power Bonferroni Means and their Applications to Multicriteria Decision Making -- Chapter 11. Modified Senapati and Yager’s Fermatean fuzzy distance and its application in students’ course placement in tertiary institution -- Chapter 12. A fuzzy decision making inventory model for deteriorating items under discounted partial advance-partial delayed payment strategy -- Chapter 13. The Effect of Solvents on the Oxidation of Acetaldehyde Using TOPSIS Method in a Fuzzy Environment -- Chapter 14. Solution of Airport Gate Re-assignment Problem under Uncertain Environment -- Chapter 15. Bilevel approach for e-bidding auction with regret theory -- Chapter 16. Evaluation of sustainable green building indicators by fuzzy multi-criteria decision making -- Chapter 17. Solving Multi-objective Linear Fractional Programming Problem Utilizing (α, β)-cut in Triangular Intuitionistic Fuzzy Setup -- Chapter 18. q-rung orthopair fuzzy 2-tuple linguistic Hamy mean operators for MAGDM with modified EDAS method -- Chapter 19. Determining the Importance Level of Effective Criteria in the Health Information System Selection via Spherical Fuzzy DEMATEL Method -- Chapter 20. Score function based effective ranking of interval valued Fermatean fuzzy sets and its applications to multi-Criteria Decision Making (MCDM) Problem -- Chapter 21. A Fuzzy EOQ model for deteriorating items under trade credit policy with unfaithfulness nature of customers -- Chapter 22. Comparison of herd tracking systems using fuzzy logic based multi-criteria decision making methods -- Chapter 23. Multi-Criteria Decision Making and its application to online learning platform selection during the Covid-19 pa demic based on TOPSIS Method -- Chapter 24. A comprehensive study on neutrosophic fuzzy solid transportation model and it’s solution technique -- Chapter 25. Cubic Picture Hesitant Fuzzy Linear spaces and their applications in multi criteria Decision Making -- Chapter 26. New Ranking Approach to Solve MCDM Problems with Generalized intuitionistic fuzzy Information -- Chapter 27. A note on “Parameter estimation and optimization of multi objective capacitated stochastic transportation problem for gamma distribution” -- Chapter 28. Assigning Mexican regions to categories of marginality with MR-sort -- Chapter 29. Clustering faculty members for the betterment of research outcomes: A fuzzy Multi-Criteria Decision Making approach in Team Formation -- Chapter 30. Freight Village Efficiency Criteria Evaluation via Fuzzy Multi-Criteria Decision-Making Methods. .
    Abstract: This edited book discusses creative and recent developments of fuzzy systems and its real-life applications of multiple criteria decision making. Keeping on the existing fuzzy sets and recent developed fuzzy sets, viz., intuitionistic fuzzy, Pythagorean fuzzy, Fermatean fuzzy, Hesitant fuzzy and multiple criteria decision approaches, this book is committed to probing the soft computing techniques and fuzzy multiple criteria decision making in favour of fuzzy intelligent system and business analytics. It also addresses novel development of fuzzy set theory as well as real-life applications of fuzzy systems. It presents challenging and useful real-world applications based on problems of decision making in various fields. The modelling and solution procedures of such real-world problems will be provided concisely although all topics start with a more developed resolution. The contributory chapters will be based on the vast research experiences of the authors in real-world decision-making problems. This book provides readers with a valuable conspectus of several decision-making problems as a reference for researchers and industrial practitioners in this field. This book will broadly cover recent development of fuzzy systems and its applications of multiple criteria decision making in the areas of management and production, manufacturing management, selections problems, group decision making, transportation and logistics, inventory control systems and interval technique/fuzzy technique (uncertainty) of the above mentioned areas.
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  • 99
    ISBN: 9783031208515
    Language: English
    Pages: 1 Online-Ressource(XII, 181 p. 57 illus., 27 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction -- Intelligence Analysis -- Foundations of the computational techniques -- Applying Situation Awareness to Intelligence Analysis -- Decision making through what-if analysis -- System modelling with graphs -- Behaviour modelling with fuzzy signatures -- Concept drift analysis with structures of opposition -- Comparing different approaches for implementing probability based rough set operators -- Data streaming scenarios -- Dealing with continuous variables: neighborhood and dominance based rough sets.
    Abstract: This book focuses on the definition and implementation of data-driven computational tools supporting decision-making along heterogeneous intelligence scenarios. Intelligence analysis includes methodologies, activities, and tools aimed at obtaining complex information from a set of isolated data gathered from different sensors. The tools aim at increasing the level of situation awareness of decision-makers through the construction of abstract structures supporting human operators in reasoning and making decisions. This book appeals to students, professionals, and academic researchers in computational intelligence and approximate reasoning applications. It is a comprehensive textbook on the subject, supported with case studies and practical examples in Python. The readers will learn how to define decision support systems for the intelligence analysis through the application of situation awareness and granular computing for information processing. .
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  • 100
    ISBN: 9789811976605
    Language: English
    Pages: 1 Online-Ressource(XXIX, 825 p. 296 illus., 218 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 578
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: AI’s Role and Application in Education: Systematic Review -- Digital Service Quality from Elderly Generation Perspective to Improve Online Business and Economy: A Theoretical Framework -- Green Software Product: The Empirical Study on Social Factor and Measurements -- A Systematic Review and Future Perspective of Mental Illness Detection using Artificial Intelligence on Multimodal Digital Media -- E–Service Quality: A Literature Review and Research Trends -- Posture Control of Collaborative Robotic Manipulator Based on Gesture Sensors -- Redefining the museum experiences in the virtual age -- Evaluation of single-stage, two-stage, and anchor-free Object Recognition methods for UAV detection -- An Experimental Study of Machine Learning Algorithms for Predicting Startup Success.
    Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2022) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.
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