An Ensemble Learning Framework Utilizing Fusion Molecular Fingerprints for Pollutant Removal Prediction in Advanced Treatments.

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Bibliographic Details
Title: An Ensemble Learning Framework Utilizing Fusion Molecular Fingerprints for Pollutant Removal Prediction in Advanced Treatments.
Authors: Luo MJ; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China., Guo ZH; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China., She Z; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China., Hou N; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China., Liu XM; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China., Mu Y; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.
Source: Environmental science & technology [Environ Sci Technol] 2026 Jun 08. Date of Electronic Publication: 2026 Jun 08.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1520-5851
DOI:10.1021/acs.est.6c02558