Advancing biomedical waste classification through a hybrid ensemble of deep Learning, reinforcement Learning, and differential evolution algorithms

•Novel AI waste classification model introduced.•Uses ensemble deep learning techniques.•Enhances accuracy and efficiency in waste management.•Tested on diverse, real-world datasets.•Potential to improve sustainability in healthcare environments. The complex nature of pharmaceutical and biomedical w...

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Bibliographic Details
Published in:Waste management (Elmsford) Vol. 209; p. 115210
Main Authors: Khonjun, Surajet, Pitakaso, Rapeepan, Srichok, Thanatkij, Gonwirat, Sarayut, Vanichakulthada, Nawinda, Luesak, Peerawat, Jirasirilerd, Ganokgarn
Format: Journal Article
Language:English
Published: United States Elsevier Ltd 01.01.2026
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ISSN:0956-053X, 1879-2456, 1879-2456
Online Access:Get full text
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