Coupling generative and predictive machine learning algorithms to enhance haloacetonitriles prediction in small water systems.
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| Title: | Coupling generative and predictive machine learning algorithms to enhance haloacetonitriles prediction in small water systems. |
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| Authors: | Cao C; School of Environment and Geography, Qingdao University, Qingdao, Shandong 266071, China., Zhou Y; School of Environment and Geography, Qingdao University, Qingdao, Shandong 266071, China., Hu G; School of Environment and Geography, Qingdao University, Qingdao, Shandong 266071, China. Electronic address: huguangji@qdu.edu.cn., Rodriguez MJ; L'École Supérieure D'aménagement du Territoire et de Développement Régional (ÉSAD) 2325, allée des Bibliothèque Université Laval, Québec City, QC G1V 0A6, Canada., Hewage K; School of Engineering, University of British Columbia Okanagan, Kelowna, British Columbia V1V 1V7, Canada., Sadiq R; Nazarbayev University, 53 Kabanbay Batyr Avenue, Astana 010000, Kazakhstan. |
| Source: | Journal of hazardous materials [J Hazard Mater] 2026 Jul 15; Vol. 513, pp. 142355. Date of Electronic Publication: 2026 May 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9422688 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3336 (Electronic) Linking ISSN: 03043894 NLM ISO Abbreviation: J Hazard Mater Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1873-3336 |
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| DOI: | 10.1016/j.jhazmat.2026.142355 |
