Machine Learning for Smart Environments/Cities An IoT Approach /

Machine Learning for Smart Environments/Cities An IoT Approach /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Marques, Gonçalo (Editor), González-Briones, Alfonso (Editor), Molina López, José Manuel (Editor)
Summary:XX, 243 p. 64 illus., 42 illus. in color.
text
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Intelligent Systems Reference Library, 121
Subjects:
Engineering > Data processing.
Cooperating objects (Computer systems).
Computational intelligence.
Artificial intelligence.
Data Engineering.
Cyber-Physical Systems.
Computational Intelligence.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-030-97516-6
Format: Electronic Book
Table of 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.

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