Advances in machine learning applications to resource technology for organic solid waste
Machine learning (ML) techniques, with their advanced data analysis and pattern recognition capabilities, are highly effective for addressing the complexities of organic solid waste (OSW) treatment and resource recovery. As global waste generation continues to increase, the need for efficient and su...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Science Press
2025-03-01
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| Series: | 工程科学学报 |
| Subjects: | |
| Online Access: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2024.07.10.001 |
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