Machine Learning for Smart Environments/Cities - An IoT Approach (Hardcover, 1st ed. 2022)


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.

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Product 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.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Intelligent Systems Reference Library, 121

Release date

April 2022

Availability

Expected to ship within 12 - 17 working days

First published

2022

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

243

Edition

1st ed. 2022

ISBN-13

978-3-03-097515-9

Barcode

9783030975159

Categories

LSN

3-03-097515-0



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