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Machine Learning for Smart Environments/Cities : An IoT Approach / edited by Gonçalo Marques, Alfonso González-Briones, José Manuel Molina López.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2022 Available online

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2022
Format:
Book
Contributor:
Marques, Gonçalo, editor.
Molina Jose M., editor.
Gonzalez- Briones, Alfonso, editor.
Series:
Intelligent Systems Reference Library, 1868-4408 ; 121
Language:
English
Subjects (All):
Engineering--Data processing.
Engineering.
Cooperating objects (Computer systems).
Computational intelligence.
Artificial intelligence.
Data Engineering.
Cyber-Physical Systems.
Computational Intelligence.
Artificial Intelligence.
Local Subjects:
Data Engineering.
Cyber-Physical Systems.
Computational Intelligence.
Artificial Intelligence.
Physical Description:
1 online resource (254 pages) : (XX, 243 p. 64 illus., 42 illus. in color.)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
Summary:
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.
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.
Notes:
Includes bibliographical references.
Other Format:
Print version: Marques, Gonçalo Machine Learning for Smart Environments/Cities
ISBN:
3-030-97516-9
OCLC:
1324247806

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