AI and IoT for Smart City Applications
AI and IoT for Smart City Applications
edited by Vincenzo Piuri, Rabindra Nath Shaw, Ankush Ghosh, Rabiul Islam
- First edition 2022
- 1 recurso en línea (XIII, 233 páginas) 122 ilustraciones, 97 ilustraciones a color
- Studies in Computational Intelligence 1002 1860-9503 .
Smart Drone Controller Framework - Towards an Internet of Drones -- Building of Efficient Communication System in Smart City using Wireless Sensor Network through Hybrid Optimization Technique -- Estimation of Range for Electric Vehicle Using Fuzzy Logic System -- Traffic Light Control using RFID and Deep Reinforcement Learning -- Driver Drowsiness Alert System using Real-Time Detection -- Image Processing Based Smart Traffic Control System for Smart City -- Visual Perception for Smart City Defense Administration and Intelligent Premonition Framework based on DNN -- Application of AI/IoT for Smart Renewable Energy Management in Smart Cities -- Eye-Gaze based Hands Free Access Control System for Smart City Public Interfaces -- Reliability Analysis in Cyber-Physical System Using Deep Learning for Smart Cities Industrial IoT Network Node.
This book provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence (AI) and Internet of things (IoT) perspective. The technical research works presented here are focused on a number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart waste management systems as well as related technologies and concepts. This edited book offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.
9789811674983
10.1007/978-981-16-7498-3 doi
Ciudades inteligentes
Inteligencia artificial
Internet de los objetos
TD159.4 / 2022 EB
Smart Drone Controller Framework - Towards an Internet of Drones -- Building of Efficient Communication System in Smart City using Wireless Sensor Network through Hybrid Optimization Technique -- Estimation of Range for Electric Vehicle Using Fuzzy Logic System -- Traffic Light Control using RFID and Deep Reinforcement Learning -- Driver Drowsiness Alert System using Real-Time Detection -- Image Processing Based Smart Traffic Control System for Smart City -- Visual Perception for Smart City Defense Administration and Intelligent Premonition Framework based on DNN -- Application of AI/IoT for Smart Renewable Energy Management in Smart Cities -- Eye-Gaze based Hands Free Access Control System for Smart City Public Interfaces -- Reliability Analysis in Cyber-Physical System Using Deep Learning for Smart Cities Industrial IoT Network Node.
This book provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence (AI) and Internet of things (IoT) perspective. The technical research works presented here are focused on a number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart waste management systems as well as related technologies and concepts. This edited book offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.
9789811674983
10.1007/978-981-16-7498-3 doi
Ciudades inteligentes
Inteligencia artificial
Internet de los objetos
TD159.4 / 2022 EB