UID:
almahu_9949070743102882
Format:
XI, 411 p. 178 illus., 122 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9783030720650
Series Statement:
Studies in Computational Intelligence, 971
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030720643
Additional Edition:
Printed edition: ISBN 9783030720667
Additional Edition:
Printed edition: ISBN 9783030720674
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-3-030-72065-0
URL:
https://doi.org/10.1007/978-3-030-72065-0
URL:
Volltext
(URL des Erstveröffentlichers)
