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Machine Learning for Smart Environments/Cities: An IoT Approach

Machine Learning for Smart Environments/Cities: An IoT Approach

Publisher Springer, Berlin
Year
Pages 243
Version hardback
Language English
ISBN 9783030975159
Categories Databases
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Book description

This book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.


Machine Learning for Smart Environments/Cities: An IoT Approach

Table of contents

An Introduction and Systematic Review on Machine Learning for Smart Environments/Cities: An IoT Approach.- Model-Based Digital Threads for Socio-Technical Systems.- IoT Regulated Water Quality Prediction Through Machine Learning for Smart Environments.

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