Main description:

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.

Contents:

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