
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Springer (Publisher)
Published on 1. June 2021
Book
Hardback
XI, 411 pages
978-3-030-72064-3 (ISBN)
Description
This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
More details
Series
Edition
2021 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
56 s/w Abbildungen, 122 farbige Abbildungen
XI, 411 p. 178 illus., 122 illus. in color.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
793 gr
ISBN-13
978-3-030-72064-3 (9783030720643)
DOI
10.1007/978-3-030-72065-0
Schweitzer Classification
Other editions
Additional editions

Uttam Ghosh | Yassine Maleh | Mamoun Alazab
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Book
06/2022
Springer
€181.89
Shipment within 7-9 days

Uttam Ghosh | Yassine Maleh | Mamoun Alazab
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
E-Book
05/2021
Springer
€171.19
Available for download
Content
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.