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Smart city article details

Title	Deep Learning Based Identification Of Solid Waste Management In Smart Cities Through Garbage Separation And Monitoring
ID_Doc	17839
Authors	George A.; Mankar S.H.; Suryanarayana N.V.S.; Gupta M.; Sathish R.; Priya A.
Year	2023
Published	Proceedings of the 5th International Conference on Inventive Research in Computing Applications, ICIRCA 2023
DOI	http://dx.doi.org/10.1109/ICIRCA57980.2023.10220690
Abstract	The solid waste management is the process of proper decomposition of waste materials within a period of time. This includes the collection of garbage's and then proceeded through certain measures for decomposition. There are various methods adopted in the garbage separation process. This includes the artificial intelligence techniques for the estimation and determination of the solid waste through automatic detection and separation of the garbage waste using control and sensing units. They are integrated with the internet of things to enable the two way communication system. This helps to visualize the functioning of the system adopting the digital platform. The proposed system is implemented through the smart dust bin held in every household that automatically senses the non-biodegradable and biodegradable waste materials. The classification of the waste materials are identified through the image processing techniques. © 2023 IEEE.
Author Keywords	artificial intelligence; deep learning; garbage; genetic algorithm; smart decomposition; Solid waste management

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