Predicting aquatic toxicity of organic compounds using the ML-DL-ens model: An integrated approach of machine learning and deep learning.
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| Title: | Predicting aquatic toxicity of organic compounds using the ML-DL-ens model: An integrated approach of machine learning and deep learning. |
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| Authors: | Li Y; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China. Electronic address: leeyeon0610@163.com., Fu GL; School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, China., Zhang LY; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China., Chen TM; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China., Wang Q; The third exploration team of Shandong coalfield geologic bureau, Tai'an 271000, China., Ding C; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China. Electronic address: ycdingc@163.com. |
| Source: | Ecotoxicology and environmental safety [Ecotoxicol Environ Saf] 2026 Jan 15; Vol. 310, pp. 119803. Date of Electronic Publication: 2026 Jan 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7805381 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1090-2414 (Electronic) Linking ISSN: 01476513 NLM ISO Abbreviation: Ecotoxicol Environ Saf Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1090-2414 |
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| DOI: | 10.1016/j.ecoenv.2026.119803 |
