Keywords:
Machine learning.
;
Artificial intelligence.
;
Medical policy.
;
Transportation engineering.
;
Traffic engineering.
;
Business logistics.
;
Machine Learning.
;
Artificial Intelligence.
;
Intelligence Infrastructure.
;
Health Policy.
;
Transportation Technology and Traffic Engineering.
;
Logistics.
Description / Table of Contents:
Applying Deep Learning to Predict Civic Purpose Development: Within the Smart City Context -- Convolution Neural Network Scheme for Detection of Electricity Theft in Smart Grids -- Helping Hand: A GMM Based Real time Assistive Device for Disabled Using Hand Gestures -- A Review on Hand Gesture and Sign Language Techniques for Hearing Impaired Person -- DriveSense: Adaptive System for Driving Behaviour Analysis and Ranking -- Classification and Tracking of Vehicles Using Videos Captured by Unmanned Aerial Vehicles -- Tracking Everyone and Everything in Smart Cities with an ANN Driven Smart Antenna -- Wavelet based Saliency and Ensemble Classifier for Pedestrian Detection in Infrared Images -- A Survey of Emerging Applications of Machine Learning in the Diagnosis and Management of Sleep Hygiene and Health in the Elderly Population -- Smart City Traffic Patterns Prediction Using Machine Learning.
Abstract:
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.
Type of Medium:
Online Resource
Pages:
VIII, 226 p. 179 illus., 153 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783031088599
Series Statement:
Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,
URL:
https://doi.org/10.1007/978-3-031-08859-9
DOI:
10.1007/978-3-031-08859-9
DDC:
006.31
Language:
English
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