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Title	Deep Learning Based Object Classification For Waste Management In Smart Cities
ID_Doc	17848
Authors	Nambiar S.R.; Shibijith C.; Kishore B.; Krishna G.; Rashida K.
Year	2025
Published	International Conference on Trends in Engineering Systems and Technologies, ICTEST 2025 - Proceedings
DOI	http://dx.doi.org/10.1109/ICTEST64710.2025.11042367
Abstract	This paper presents a Deep Learning based implementation for object classification to be used in smart cities for waste management. The waste management is the most important problems in modern day society,which is to be tackled effectively. In the new era of Artificial Intelligence(AI),object classification has taken a well-defined advancement in its capabilities. Here we explore the possibilities of deep learning model for the Waste management. With the ever increasing urbanization and people's fast paced life, waste management in cities has proven to be a hectic task. Traditional waste management systems are ineffective in the present state. We develop a fine-tunned ResNet152 model that can accurately identify different types of waste in cities with an accuracy of 98%.This proposed system aims to improve waste management and contribute to a sustainable future. © 2025 IEEE.
Author Keywords	Convolutional Neural Networks; Deep Learning; object detection; waste management

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