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Machine learning for smart environme...

Marques, Goncalo.

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Machine learning for smart environments/cities = an IoT approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning for smart environments/cities/ edited by Goncalo Marques, Alfonso Gonzalez-Briones, Jose Manuel Molina Lopez.
Reminder of title:	an IoT approach /
other author:	Marques, Goncalo.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xx, 243 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Smart cities. -
Online resource:	https://doi.org/10.1007/978-3-030-97516-6
ISBN:	9783030975166

Machine learning for smart environments/cities = an IoT approach /
Machine learning for smart environments/citiesan IoT approach /[electronic resource] :edited by Goncalo Marques, Alfonso Gonzalez-Briones, Jose Manuel Molina Lopez. - Cham :Springer International Publishing :2022. - xx, 243 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v. 1211868-4408 ;. - Intelligent systems reference library ;v. 121..

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.

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.

ISBN: 9783030975166

Standard No.: 10.1007/978-3-030-97516-6doiSubjects--Topical Terms:

3338351
Smart cities.

LC Class. No.: TD159.4 / .M33 2022

Dewey Class. No.: 307.760285

Machine learning for smart environments/cities = an IoT approach /
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245 0 0 $a Machine learning for smart environments/cities $h [electronic resource] : $b an IoT approach / $c edited by Goncalo Marques, Alfonso Gonzalez-Briones, Jose Manuel Molina Lopez.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xx, 243 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4408 ; $v v. 121
505 0 $a 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.
520 $a 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.
650 0 $a Smart cities. $3 3338351
650 0 $a Machine learning. $3 533906
650 0 $a Internet of things. $3 2057703
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Cyber-Physical Systems. $3 3591993
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Marques, Goncalo. $3 3489749
700 1 $a Gonzalez-Briones, Alfonso. $3 3596190
700 1 $a Molina Lopez, Jose Manuel. $3 3596191
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Intelligent systems reference library ; $v v. 121. $3 3596192
856 4 0 $u https://doi.org/10.1007/978-3-030-97516-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)