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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| Published in: | Waste management (Elmsford) Vol. 209; p. 115210 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Elsevier Ltd
01.01.2026
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| Subjects: | |
| ISSN: | 0956-053X, 1879-2456, 1879-2456 |
| Online Access: | Get full text |
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