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kulkarni s edge computational intelligence ai enabled iot systems 2024

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Textbook in PDF format Edge computational intelligence is an interface between Edge Computing and Artificial Intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling a broad application areas and customer-friendly solutions. Edge computational intelligence technologies are just in their infancy. Edge Computational Intelligence for AI-Enabled IoT Systems looks at the trends and advances in edge computing and edge AI, the services rendered by them, related security and privacy issues, training algorithms, architectures, and sustainable AI-enabled IoT systems. Together, these technologies benefit from ultra-low latency, faster response times, lower bandwidth costs and resilience from network failure, and the book explains the advantages of systems and applications using intelligent IoT devices that are at the edge of a network and close to users. It explains how to make most of edge and cloud computing as complementary technologies or used in isolation for extensive and widespread applications. The advancement in IoT devices, networking facilities, parallel computation and 5G, and robust infrastructure for generalized machine learning have made it possible to employ edge computational intelligence in diverse areas and in diverse ways. The book begins with chapters that cover Edge AI services on offer as compared to conventional systems. These are followed by chapters that discuss security and privacy issues encountered during the implementation and execution of edge AI and computing services The book concludes with chapters looking at applications spread across different areas of edge AI and edge computing and also at the role of computational intelligence in AI-driven IoT systems. The book is divided into four parts. Part I is devoted to edge AI services on offer as compared to conventional systems. Part II is dedicated to security and privacy issues encountered during the implementation and execution of edge AI and computing services, while part III deals with applications spread across different areas of edge AI and edge computing. Part IV focuses on the role of computational intelligence of AI-?driven IoT systems across the board. Part I has three chapters. Chapter 1 introduces edge AI and edge computing and discusses the trends developed over time and some representative applications. Chapter 2 discusses the way IoT services are secured with the help of AI in edge computing. Chapter 3 deliberates on computational-?based edge AI services in general and challenges in this area. Preface PART I COMPUTATIONAL INTELLIGENCE: EDGE AI SERVICES Edge Computational Intelligence: Fundamentals, Trends, and Applications Securing IoT Services Using Artificial Intelligence in Edge Computing Computational-Based Edge AI Services and Challenges PART II COMPUTATIONAL INTELLIGENCE: EDGE AI SECURITY AND PRIVACY Security and Privacy in Edge AI: Challenges and Concerns A Study of an Edge Computing-Enabled Metaverse Ecosystem Sustainable Communication-Efficient Edge AI: Algorithms and Systems PART III COMPUTATIONAL INTELLIGENCE: EDGE COMPUTING AND AI APPLICATIONS Machine Learning-Based Hybrid Technique for Securing Edge Computing A Study of Secure Deployment of Mobile Services in Edge Computing AI-Enabled Novel Applications in Edge Computing for IoT Services Application of Edge AI in Biomedicine. PART IV COMPUTATIONAL INTELLIGENCE: IOT SYSTEMS Artificial Intelligence and Soft Computing-Driven Evolutionary Computation Algorithms for Solving Unconstrained Nonlinear Problems UAV-Enabled Mobile Edge Computing for IoT Applications Internet of Things Enabled Software-Defined Networks Smart and Sustainable Energy-Efficient Wireless Sensor Networks: Design and Techniques

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Kulkarni S. Edge Computational Intelligence for AI-Enabled IoT Systems 2024.pdf 33.7 MB

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kulkarni s edge computational intelligence ai enabled iot systems 2024

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