Machine Intelligence and Data Analytics for Sustainable Future Smart Cities: 971 (Studies in Computational Intelligence) - Softcover

 
9783030720674: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities: 971 (Studies in Computational Intelligence)
Softcover
ISBN 10: 3030720675 ISBN 13: 9783030720674
Verlag: Springer, 2022

Inhaltsangabe

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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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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Verlag
Springer
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
3030720675
ISBN 13 
9783030720674
Einband
Tapa blanda
Auflage
1
Anzahl der Seiten
424
Herausgeber
Ghosh Uttam, Maleh Yassine, Alazab Mamoun, Pathan Al-Sakib Khan
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783030720643: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities: 971 (Studies in Computational Intelligence)

Vorgestellte Ausgabe

ISBN 10:  3030720640 ISBN 13:  9783030720643
Verlag: Springer, 2021
Hardcover