Machine Intelligence and Data Analytics for Sustainable Future Smart Cities -

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Buch | Hardcover
XI, 411 Seiten
2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-72064-3 (ISBN)
181,89 inkl. MwSt

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.


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.

Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XI, 411 p. 178 illus., 122 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 793 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte Computational Intelligence • Data Analytics for Sustainable Future Smart Cities • IOT • Machine Intelligence for Sustainable Future Smart Cities • smart cities
ISBN-10 3-030-72064-0 / 3030720640
ISBN-13 978-3-030-72064-3 / 9783030720643
Zustand Neuware
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