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Hemanth

Machine Learning Techniques for Smart City Applications: Trends and Solutions

Medium: Buch
ISBN: 978-3-031-08858-2
Verlag: Springer International Publishing
Erscheinungstermin: 20.09.2022
Lieferfrist: bis zu 10 Tage
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.

Produkteigenschaften


  • Artikelnummer: 9783031088582
  • Medium: Buch
  • ISBN: 978-3-031-08858-2
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 20.09.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: Advances in Science, Technology & Innovation
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 909 g
  • Seiten: 226
  • Format (B x H x T): 215 x 285 x 18 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Herausgeber

Hemanth, D. Jude

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.