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Title	Optimizing Waste Sorting: A Cnn-Based Solution Offering Incremental Improvements In Image Classification Over Vgg16
ID_Doc	40953
Authors	Ajana L.; Souri A.; El Mohajir B.E.; Ei Hichami O.; Al Achhab M.; Zbakh A.
Year	2024
Published	Proceedings of 2024 1st Edition of the Mediterranean Smart Cities Conference, MSCC 2024
DOI	http://dx.doi.org/10.1109/MSCC62288.2024.10697050
Abstract	Efficient waste management and resource recovery hinge on precise waste sorting. This paper introduces an upgraded waste sorting methodology utilizing convolutional neural networks (CNNs) and transfer learning, specifically employing VGG16 architectures. The presented approach seeks to enhance accuracy, efficiency, and adaptability in practical waste sorting scenarios. ©2024 IEEE.
Author Keywords	CNN; Deep Learning; Image classification; Smart city; Sustainable Development Goals Waste management; Transfer learning; VGG16; Waste sorting

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