Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

1. Auflage 2021
ISBN: 978-3-030-72064-3
Verlag: Springer

Buch, Englisch, Band 971, 411 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 793 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Ghosh, Uttam

Maleh, Yassine

Alazab, Mamoun

Pathan, Al-Sakib Khan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

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.