國立虎尾科技大學 |

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Intelligence and Data Analytics for Sustainable Future Smart Cities/ edited by Uttam Ghosh, Yassine Maleh, Mamoun Alazab, Al-Sakib Khan Pathan.
其他作者:	Ghosh, Uttam.
面頁冊數:	XI, 411 p. 178 illus., 122 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	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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