UID:
almahu_9949372066302882
Umfang:
VIII, 226 p. 179 illus., 153 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031088599
Serie:
Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031088582
Weitere Ausg.:
Printed edition: ISBN 9783031088605
Weitere Ausg.:
Printed edition: ISBN 9783031088612
Sprache:
Englisch
DOI:
10.1007/978-3-031-08859-9
URL:
https://doi.org/10.1007/978-3-031-08859-9
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