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221004 ||| eng |
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|a 9783031088599
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| 100 |
1 |
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|a Hemanth, D. Jude
|e [editor]
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| 245 |
0 |
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|a Machine Learning Techniques for Smart City Applications: Trends and Solutions
|h Elektronische Ressource
|c edited by D. Jude Hemanth
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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| 300 |
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|a VIII, 226 p. 179 illus., 153 illus. in color
|b online resource
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| 505 |
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|a 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
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| 653 |
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|a Business logistics
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| 653 |
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|a Transportation engineering
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| 653 |
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|a Machine learning
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| 653 |
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|a Traffic engineering
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| 653 |
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|a Machine Learning
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Transportation Technology and Traffic Engineering
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| 653 |
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|a Logistics
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| 653 |
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|a Intelligence Infrastructure
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| 653 |
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|a Health Policy
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| 653 |
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|a Medical policy
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development
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| 028 |
5 |
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|a 10.1007/978-3-031-08859-9
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-08859-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.31
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| 520 |
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|a 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
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