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Edge Computing and Computational Intelligence Paradigms for the IoT

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Release : 2019-06-14
Genre : Computers
Kind : eBook
Book Rating : 575/5 ( reviews)

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Book Synopsis Edge Computing and Computational Intelligence Paradigms for the IoT by : Nagarajan, G.

Download or read book Edge Computing and Computational Intelligence Paradigms for the IoT written by Nagarajan, G.. This book was released on 2019-06-14. Available in PDF, EPUB and Kindle. Book excerpt: Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.

Handbook of Research on Edge Computing and Computational Intelligence Paradigms for the IoT

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Author :
Release : 2019
Genre : Cloud computing
Kind : eBook
Book Rating : 558/5 ( reviews)

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Book Synopsis Handbook of Research on Edge Computing and Computational Intelligence Paradigms for the IoT by : G. Nagarajan

Download or read book Handbook of Research on Edge Computing and Computational Intelligence Paradigms for the IoT written by G. Nagarajan. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: "This book examines the recent advances in the Internet of Things through the use intelligence paradigms"--

Edge Computational Intelligence for AI-Enabled IoT Systems

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Release : 2024-02-26
Genre : Computers
Kind : eBook
Book Rating : 125/5 ( reviews)

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Book Synopsis Edge Computational Intelligence for AI-Enabled IoT Systems by : Shrikaant Kulkarni

Download or read book Edge Computational Intelligence for AI-Enabled IoT Systems written by Shrikaant Kulkarni. This book was released on 2024-02-26. Available in PDF, EPUB and Kindle. Book excerpt: 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.

IoT Edge Intelligence

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Genre :
Kind : eBook
Book Rating : 884/5 ( reviews)

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Book Synopsis IoT Edge Intelligence by : Souvik Pal

Download or read book IoT Edge Intelligence written by Souvik Pal. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Cases on Edge Computing and Analytics

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Author :
Release : 2021-01-08
Genre : Computers
Kind : eBook
Book Rating : 744/5 ( reviews)

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Book Synopsis Cases on Edge Computing and Analytics by : Ambika, Paranthaman

Download or read book Cases on Edge Computing and Analytics written by Ambika, Paranthaman. This book was released on 2021-01-08. Available in PDF, EPUB and Kindle. Book excerpt: Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing.

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