Smart City Gnosys

Smart city article details

Title	Deep Learning-Based Small Object Detection And Classification Model For Garbage Waste Management In Smart Cities And Iot Environment
ID_Doc	17970
Authors	Alsubaei F.S.; Al-Wesabi F.N.; Hilal A.M.
Year	2022
Published	Applied Sciences (Switzerland), 12, 5
DOI	http://dx.doi.org/10.3390/app12052281
Abstract	In recent years, object detection has gained significant interest and is considered a challenging problem in computer vision. Object detection is mainly employed for several applications, such as instance segmentation, object tracking, image captioning, healthcare, etc. Recent studies have reported that deep learning (DL) models can be employed for effective object detection compared to traditional methods. The rapid urbanization of smart cities necessitates the design of intelligent and automated waste management techniques for effective recycling of waste. In this view, this study develops a novel deep learning-based small object detection and classification model for garbage waste management (DLSODC-GWM) technique. The proposed DLSODC-GWM technique mainly focuses on detecting and classifying small garbage waste objects to assist intelligent waste management systems. The DLSODC-GWM technique follows two major processes, namely, object detection and classification. For object detection, an arithmetic optimization algorithm (AOA) with an improved RefineDet (IRD) model is applied, where the hyperparameters of the IRD model are optimally chosen by the AOA. Secondly, the functional link neural network (FLNN) technique was applied for the classification of waste objects into multiple classes. The design of IRD for waste classification and AOA-based hyperparameter tuning demonstrates the novelty of the work. The performance validation of the DLSODC-GWM technique is performed using benchmark datasets, and the experimental results show the promising performance of the DLSODC-GWM method on existing approaches with a maximum accuy of 98.61%. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Author Keywords	Classification; Deep learning; IoT; Object detection; Single shot; Small objects; Smart cities; Waste management

Similar Articles

Id	Similarity	Authors	Title	Published
17848	0.927	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)
22313	0.914	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)
7826	0.909	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)
56836	0.906	Cai W.; Xie M.; Liu Y.; Yang X.	The Smart City Waste Classification Management System: Strategies And Applications Based On Computer Vision	Journal of Organizational and End User Computing, 36, 1 (2024)
39264	0.906	Thirumalraj A.; Chandrashekar R.; Gunapriya B.; Balasubramanian P.K.	Nmra-Facilitated Optimized Deep Learning Framework: A Case Study On Iot-Enabled Waste Management In Smart Cities	Developments Towards Next Generation Intelligent Systems for Sustainable Development (2024)
24046	0.905	Ahmed Khan H.; Naqvi S.S.; Alharbi A.A.K.; Alotaibi S.; Alkhathami M.	Enhancing Trash Classification In Smart Cities Using Federated Deep Learning	Scientific Reports, 14, 1 (2024)
17773	0.903	Hamza M.A.; Mengash H.A.; Negm N.; Marzouk R.; Motwakel A.; Zamani A.S.	Deep Consensus Network For Recycling Waste Detection In Smart Cities	Computers, Materials and Continua, 75, 2 (2023)
33618	0.902	Gopatoti A.; Chaubey P.K.; Charan P.; Mathivanan K.; Prabakaran T.; Kumar A.S.	Iot And Wsn-Driven Solid Waste Image Classification In Smart Cities Using The Attention Bigru Model	Proceedings - 4th International Conference on Smart Technologies, Communication and Robotics 2025, STCR 2025 (2025)
52263	0.899	Ramya R.; Vinitha Shree S.; Yogeshwari S.; Venkatesan S.	Solid Waste Identification And Classification Method Based On Feature Selection And Hybrid Resnet Cnn Models In Smart Environment	Lecture Notes in Networks and Systems, 730 LNNS (2023)
8881	0.898	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)