Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Herausgegeben:Ghosh, Uttam; Maleh, Yassine; Alazab, Mamoun; Pathan, Al-Sakib Khan

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 971
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-72064-3
• 1st ed. 2021
• Seitenzahl: 411
• Erscheinungstermin: 3. Juni 2021
• Englisch
• Abmessung: 27mm x 155mm x 235mm
• ISBN-13: 9783030720643
• Artikelnr.: 61176931

Inhaltsangabe

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.