Téléchargez le livre : Smart Cities: Big Data Prediction Methods and Applications

Smart Cities: Big Data Prediction Methods and Applications

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Éditeur :

Springer


Paru le : 2020-03-25

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Description

Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques.
 This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities.
 Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.
Pages
314 pages
Collection
n.c
Parution
2020-03-25
Marque
Springer
EAN papier
9789811528361
EAN PDF
9789811528378
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
17142 Ko
Prix
168,79 €
EAN EPUB
9789811528378
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
56361 Ko
Prix
168,79 €

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