Smart City Gnosys

Smart city article details

Title	Toward A Deep Smart Waste Management System Based On Pattern Recognition And Transfer Learning
ID_Doc	57602
Authors	Jadli A.; Hain M.
Year	2020
Published	3rd International Conference on Advanced Communication Technologies and Networking, CommNet 2020
DOI	http://dx.doi.org/10.1109/CommNet49926.2020.9199615
Abstract	Smart cities essentially combine the use of Information and communications technology (ICT) to provide services for better living conditions inside. The recent developments in the Internet of Things (IoT) opened vast opportunities for researchers and developers to implement various systems and applications in the field of Smart Cities and Intelligent Transportation Systems (ITS). It is a diverse topic of discussion with several application areas such as smart traffic management, smart street lights or gas and water leak detection. Among these applications, Efficient Waste Collection (WC) is considered a fundamental service for helping maintain a healthier environment for the citizens while reducing operating costs. This paper proposes a new architecture for a smart wastes management system based on artificial intelligence techniques and focuses on the combined use of the Internet of Things (IoT) and surveillance systems as an assistive technology for high Quality of Service (QoS) in waste collection. By integrating deep learning techniques in this sector, important cost reductions can be made while maintaining optimal performance. © 2020 IEEE.
Author Keywords	Artificial Intelligence; Deep Learning; Intelligent Transportation Systems; Internet of Things; Machine Learning; Smart City; Waste Collection

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