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Machine learning techniques for smar...

Hemanth, D. Jude.

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Machine learning techniques for smart city applications: trends and solutions

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning techniques for smart city applications: trends and solutions/ edited by D. Jude Hemanth.
其他作者:	Hemanth, D. Jude.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	viii, 226 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Smart cities. -
電子資源:	https://doi.org/10.1007/978-3-031-08859-9
ISBN:	9783031088599

Machine learning techniques for smart city applications: trends and solutions
Machine learning techniques for smart city applications: trends and solutions[electronic resource] /edited by D. Jude Hemanth. - Cham :Springer International Publishing :2022. - viii, 226 p. :ill. (chiefly color), digital ;24 cm. - Advances in science, technology & innovation, IEREK interdisciplinary series for sustainable development,2522-8722. - Advances in science, technology & innovation, IEREK interdisciplinary series for sustainable development..

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.

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.

ISBN: 9783031088599

Standard No.: 10.1007/978-3-031-08859-9doiSubjects--Topical Terms:

3338351
Smart cities.

LC Class. No.: TD159.4 / .M33 2022

Dewey Class. No.: 307.760285

Machine learning techniques for smart city applications: trends and solutions
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