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Biographie et livres d'Arun Kumar Sangaiah

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Prof. Arun Kumar Sangaiah received his PhD from the School of Computer Science and Engineering, VIT University, Vellore, India. He is currently a Full Professor with National Yunlin University of Science and Technology, Taiwan. He is also a Professor at the School of Computing Science and Engineering, VIT University, Vellore, India. His areas of research interest include machine learning, Internet of Things, Sustainable Computing. He has published more than 300 research articles in refereed
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Téléchargez le livre :  AI Models for Blockchain-Based Intelligent Networks in IoT Systems
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AI Models for Blockchain-Based Intelligent Networks in IoT Systems

Bharat Bhushan , Tu N. Nguyen , Arun Kumar Sangaiah


Springer

2023-06-08

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The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices.The book further aims to address and...

211,99

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Télécharger le livre :  Advances in Edge Computing: Massive Parallel Processing and Applications
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The rapid advance of Internet of Things (IoT) technologies has resulted in the number of IoT-connected devices growing exponentially, with billions of connected devices worldwide. While this development brings with it great opportunities for many fields of science,...

Editeur : SAGE Publications Ltd
Parution : 2020-03-15

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84,38
Télécharger le livre :  Intelligent Pervasive Computing Systems for Smarter Healthcare
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A guide to intelligent decision and pervasive computing paradigms for healthcare analytics systems with a focus on the use of bio-sensors Intelligent Pervasive Computing Systems for Smarter Healthcare describes the innovations in healthcare made possible by computing...

Editeur : Wiley
Parution : 2019-06-21

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134,57
Télécharger le livre :  Cognitive Computing for Big Data Systems Over IoT
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This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in...

Editeur : Springer
Parution : 2017-12-30
Collection : Lecture Notes on Data Engineering and Communications Technologies
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95,39