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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Veröffentlicht in:	Applied soft computing Jg. 175; S. 113086
Hauptverfasser:	Tasic, Ana, Jovanovic, Luka, Bacanin, Nebojsa, Zivkovic, Miodrag, Simic, Vladimir, Popovic, Miroslav, Antonijevic, Milos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2025
Schlagworte:	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-Zugang:	Volltext
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