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Shulph Ink

Machine Learning for Smart Environments/Cities: An IoT Approach

Machine Learning for Smart Environments/Cities: An IoT Approach

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  • More about Machine Learning for Smart Environments/Cities: An IoT Approach


This book provides an overview of machine learning and its applications in smart environments/cities, highlighting critical threads and gaps for future research. It accelerates the implementation of smart city and smart environment technologies based on IoT.

Format: Paperback / softback
Length: 243 pages
Publication date: 07 April 2023
Publisher: Springer Nature Switzerland AG


This comprehensive book delves into the realm of machine learning and its groundbreaking applications in smart environments and cities. In the current landscape, a thorough grasp of smart environment/city applications is paramount to fostering future research endeavors. Spanning chapters authored by esteemed researchers from diverse corners of the world, this book uncovers crucial threads in the field and identifies emerging gaps that pave the way for innovative and challenging research directions.

Recent advancements are explored in depth, providing readers with a comprehensive overview of critical domains. The in-depth discussion on key research topics presented herein propels the implementation of smart cities and smart environments powered by IoT technologies. As a result, this book serves as a valuable resource for supporting future research activities focused on developing future IoT architectures for smart environments/cities.

Weight: 409g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030975180
Edition number: 1st ed. 2022

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