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

Contributor(s): Marques, Gonçalo, editor literario | González-Briones, Alfonso, editor literario | Molina López, José Manuel, editor literario
Material type: materialTypeLabelE-bookSeries: (Intelligent Systems Reference Library, 1868-4408; 121).Publisher: Cham : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XX, 243 páginas) : 64 ilustraciones, 42 ilustraciones a color.ISBN: 9783030975166.Subject: Internet de los objetos | Aprendizaje automático | Ciudades inteligentesOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
In: Springer Nature eBookSummary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TD159.4 2022 EB (Browse shelf(Opens below)) Acceso electrónico
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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.

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