Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Ghosh, Uttam (Editor), Maleh, Yassine (Editor), Alazab, Mamoun (Editor), Pathan, Al-Sakib Khan (Editor)
Summary:	XI, 411 p. 178 illus., 122 illus. in color. text
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Studies in Computational Intelligence, 971
Subjects:	Computational intelligence. Machine learning. Cooperating objects (Computer systems). Computational Intelligence. Machine Learning. Cyber-Physical Systems.
Online Access:	https://doi.org/10.1007/978-3-030-72065-0
Format:	Electronic Book

Table of Contents:

Data Quality Evaluation, Outlier Detection and Missing Data Imputation Methods for IoT in Smart Cities
Role of Machine Learning In Weather Related Event Predictions For A Smart City
Applying Mobile based Community Participation Model in Smart Cities
Digital Transformation to Build Smart Cities
Rapid IoT Prototyping
Fuzzy Dynamic Airspace Sectorization Problem
Virtualization Technology for LoRaWAN Roaming Simulation in Smart-Cities
Development of a IoT Based System for Mitigate the Impact of COVID-19 in Smart Cities
Machine Learning based Cyber-security Defense at the Age of Industry 4.0
Software-Defined Location Privacy Protection for Vehicular Networks.

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