Enhanced convolutional neural network methodology for solid waste classification utilizing data augmentation techniques

The increasing volume of solid waste generated globally necessitates efficient classification systems to enhance recycling and waste management processes. Convolutional Neural Networks (CNNs) have emerged as a powerful tool for image classification tasks, including solid waste identification. Howeve...

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Bibliographic Details
Main Authors: Daniel Hogan Itam, Ekwueme Chimeme Martin, Ibiba Taiwo Horsfall
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Waste Management Bulletin
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Online Access:http://www.sciencedirect.com/science/article/pii/S2949750724000920
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