Smart City Gnosys

Smart city article details

Title	Intelligent Waste Management Systems Using Deep Belief Network In Smart Cities
ID_Doc	32692
Authors	Dara P.K.; Gangwar P.K.; Das A.; Aarthi R.; Chairma Lakshmi K.R.; Godwin John J.
Year	2024
Published	2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
DOI	http://dx.doi.org/10.1109/ICCCNT61001.2024.10724173
Abstract	Efficient waste management systems are considered essential for environmental safety in smart cities. This research uses a Deep Belief Network for Waste Management System to manage waste. Inadequate waste management is the primary case that leads to resource inequality in smart cities. From various sensors with the data collected over the smart city, this research aims to manage the collection of garbage production. In order to manage the garbage collection routes, the DBN uses predictive analysis on waste collection efficiency leading to reduced operating costs. The results show that the proposed method achieves higher prediction accuracy to smart city infrastructure, especially in reuse management. © 2024 IEEE.
Author Keywords	Deep Belief Network; Intelligent Waste Management System; Predictive Analysis; Smart Cities

Similar Articles

Id	Similarity	Authors	Title	Published
17848	0.921	Nambiar S.R.; Shibijith C.; Kishore B.; Krishna G.; Rashida K.	Deep Learning Based Object Classification For Waste Management In Smart Cities	International Conference on Trends in Engineering Systems and Technologies, ICTEST 2025 - Proceedings (2025)
51721	0.913	Hasan M.K.; Khan M.A.; Issa G.F.; Atta A.; Akram A.S.; Hassan M.	Smart Waste Management And Classification System For Smart Cities Using Deep Learning	2022 International Conference on Business Analytics for Technology and Security, ICBATS 2022 (2022)
22313	0.911	Chauhan R.; Shighra S.; Madkhali H.; Nguyen L.; Prasad M.	Efficient Future Waste Management: A Learning-Based Approach With Deep Neural Networks For Smart System (Lads)	Applied Sciences (Switzerland), 13, 7 (2023)
8881	0.91	William P.; Patil J.M.; Panda S.; Venugopal A.; Vidyullatha P.; Kumar N.M.; Jandwani A.	An Optimized Framework For Implementation Of Smart Waste Collection And Management System In Smart Cities Using Iot Based Deep Learning Approach	International Journal of Information Technology (Singapore), 16, 8 (2024)
17902	0.908	Babu Kumar S.	Deep Learning In Waste Management And Recycling In Digital Smart City	Resilient Community Microgrids (2025)
49192	0.908	Mohammed Aarif K.O.; Mohamed Yousuff C.; Mohammed Hashim B.A.; Mohamed Hashim C.; Sivakumar P.	Smart Bin: Waste Segregation System Using Deep Learning-Internet Of Things For Sustainable Smart Cities	Concurrency and Computation: Practice and Experience, 34, 28 (2022)
51677	0.9	D’Agostini M.; Venturi S.; Vigo E.	Smart Urban Waste Management System: The Case Study Of Delft, Netherlands	Communications in Computer and Information Science, 1651 CCIS (2022)
57602	0.899	Jadli A.; Hain M.	Toward A Deep Smart Waste Management System Based On Pattern Recognition And Transfer Learning	3rd International Conference on Advanced Communication Technologies and Networking, CommNet 2020 (2020)
7826	0.898	Saghana K.; Saranya P.; Mahesh Reddy A.; Keerthy Rai V.; Ramasubramanian B.; Sudhakaran P.	An Efficient Deep Learning Based Waste Management System For Sustainable Environment	3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025 (2025)
22318	0.897	Bonala K.; Saggurthi P.; Kambala P.K.; Voruganti S.; Utukuru S.; Sugamya K.	Efficient Handling Of Waste Using Deep Learning And Iot	2nd International Conference on Sustainable Computing and Smart Systems, ICSCSS 2024 - Proceedings (2024)