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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities / edited by Uttam Ghosh, Yassine Maleh, Mamoun Alazab, Al-Sakib Khan Pathan.

Contributor(s): Ghosh, Uttam, editor literario | Maleh, Yassine, editor literario | Alazab, Mamoun, editor literario | Pathan, Al-Sakib Khan, editor literario
Series: (Studies in Computational Intelligence, 1860-9503; 971); (Intelligent Technologies and Robotics (SpringerNature-42732)); (Intelligent Technologies and Robotics (R0) (SpringerNature-43728)).Publisher: Cham : Springer International Pulishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XI, 411 páginas) : 178 ilustraciones, 122 ilustraciones a color.ISBN: 9783030720650.Subject: Ciudades inteligentesOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TD159.4 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.23122245
Total holds: 0

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.

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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