Machine Learning Techniques for Smart City Applications: Trends and Solutions

ISBN-13: 9783031088582 / Angielski / Twarda / 2022 / 226 str.

D. Jude Hemanth

Opis

This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.

Spis treści

Smart transportation:

·        Machine Learning based Intelligent Transportation System (ITS) for effective traffic management

·        Automated Machine Learning based License plate detection and categorization of vehicles for efficient implementation of traffic rules

·        Machine Learning techniques for pot hole detections to minimize the accident rate in national highways

Smart Surveillance:

·        Remote monitoring of house/buildings using Internet of Things (IoT) and Machine Learning techniques ·        Anomaly detection using machine learning techniques for reduction of crime rate ·        Machine learning based automated authentication of digital data

·        Machine Learning based video processing systems for surveillance applications

Smart Health: ·        Wearable device technology for the assessment of vital parameters of human beings

·        Intelligent Assistive devices for the lifestyle enhancement of the physically- disabled people

·        Remote monitoring of the health parameters of elderly/aged people ·        Mobile Application development for health assessment of human beings

·        Intelligent medical devices

Smart Infrastructure:

·        Energy preservation using automated techniques in houses/buildings

·        Machine learning based smart waste disposal/management system

Smart Energy:

·        Smart sensors and intelligent machines for efficient consumption of energy

·        Smart grid structures for efficient distribution of energy in rural and urban areas

O autorze

Dr. D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006, and Ph.D. from Karunya University in 2013. His research areas include computational intelligence and image processing. He has authored more than 140 research papers in reputed SCIE indexed International Journals and Scopus Indexed International Conferences. His cumulative impact factor is more than 200. He has published 33 edited books with reputable publishers such as Elsevier, Springer, and IET. Currently, he works as Associate Professor in Department of ECE, Karunya University, Coimbatore, India.