IoT and WSN based Smart Cities: A Machine Learning Perspective

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Éditeur :

Springer


Collection :

EAI/Springer Innovations in Communication and Computing

Paru le : 2022-05-30

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Description
This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.
Pages
284 pages
Collection
EAI/Springer Innovations in Communication and Computing
Parution
2022-05-30
Marque
Springer
EAN papier
9783030841812
EAN PDF
9783030841829

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
9196 Ko
Prix
147,69 €
EAN EPUB
9783030841829

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
53309 Ko
Prix
147,69 €