Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

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Beschreibung

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.

Presents the latest discoveries in the field of machine intelligence and data analytics techniques and methods for sustainable future smart cities

Proposes high-quality and original research on sustainable computing for smart cities research including emerging trends and technologies

Offers a rigorous introduction to how machine intelligence and data analytics can change the way smart cities operate in various fields

Promotes the scientific dialogue for the determinants and the impact of computational intelligence techniques to smart cities research



Inhalt

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.

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Produktinformationen

Titel
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Editor
EAN
9783030720643
Format
Fester Einband
Hersteller
Springer International Publishing
Herausgeber
Springer, Berlin
Genre
Technik
Anzahl Seiten
411
Gewicht
793g
Größe
H235mm x B235mm x T155mm
Auflage
1st ed. 2021
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