AI and IoT for smart city applications / Vincenzo Piuri, Rabindra Nath Shaw, Ankush Ghosh, Rabiul Islam, editors.
Piuri, Vincenzo, editor.; Shaw, Rabindra Nath, editor.; Ghosh, Ankush, editor.; Islam, Rabiul, editor.
2022
TD159.4 .A4 2022
Available Online

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Title AI and IoT for smart city applications / Vincenzo Piuri, Rabindra Nath Shaw, Ankush Ghosh, Rabiul Islam, editors.
ISBN 9789811674983 (electronic bk.)
9811674981 (electronic bk.)
9789811674976
9811674973
DOI https://doi.org/10.1007/978-981-16-7498-3
Published Singapore : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (241 pages) : illustrations (chiefly color).
Item Number 10.1007/978-981-16-7498-3 doi
Call Number TD159.4 .A4 2022
Dewey Decimal Classification 307.760285
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based upon print version of record.
Added Author Piuri, Vincenzo, editor.
Shaw, Rabindra Nath, editor.
Ghosh, Ankush, editor.
Islam, Rabiul, editor.
Series Studies in computational intelligence ; v. 1002.
Available in Other Form AI and IoT for Smart City Applications
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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