Towards sustainable societies: Convolutional neural networks optimized by modified crayfish optimization algorithm aided by AdaBoost and XGBoost for waste classification tasks

The categorization of waste is playing a pivotal role in addressing and alleviating the environmental and health repercussions linked to waste. It is essential for safeguarding the environment, as improper handling of hazardous waste may result in soil, water, and air contamination, posing significa...

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Bibliographic Details

Published in:	Applied soft computing Vol. 175; p. 113086
Main Authors:	Tasic, Ana, Jovanovic, Luka, Bacanin, Nebojsa, Zivkovic, Miodrag, Simic, Vladimir, Popovic, Miroslav, Antonijevic, Milos
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.05.2025
Subjects:	Convolutional neural networks Crayfish optimization algorithm Deep neural networks Swarm intelligence Waste management Waste management Swarm intelligence Deep neural networks Convolutional neural networks Crayfish optimization algorithm
ISSN:	1568-4946
Online Access:	Get full text
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