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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities/ edited by Uttam Ghosh, Yassine Maleh, Mamoun Alazab, Al-Sakib Khan Pathan.
other author:
Ghosh, Uttam.
Description:
XI, 411 p. 178 illus., 122 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-72065-0
ISBN:
9783030720650
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
[electronic resource] /edited by Uttam Ghosh, Yassine Maleh, Mamoun Alazab, Al-Sakib Khan Pathan. - 1st ed. 2021. - XI, 411 p. 178 illus., 122 illus. in color.online resource. - Studies in Computational Intelligence,9711860-9503 ;. - Studies in Computational Intelligence,564.
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.
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.
ISBN: 9783030720650
Standard No.: 10.1007/978-3-030-72065-0doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
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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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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.
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