View in EDS

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

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42260899
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An Ensemble Learning Framework Utilizing Fusion Molecular Fingerprints for Pollutant Removal Prediction in Advanced Treatments.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Luo+MJ%22">Luo MJ</searchLink>; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.<br /><searchLink fieldCode="AU" term="%22Guo+ZH%22">Guo ZH</searchLink>; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.<br /><searchLink fieldCode="AU" term="%22She+Z%22">She Z</searchLink>; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.<br /><searchLink fieldCode="AU" term="%22Hou+N%22">Hou N</searchLink>; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.<br /><searchLink fieldCode="AU" term="%22Liu+XM%22">Liu XM</searchLink>; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.<br /><searchLink fieldCode="AU" term="%22Mu+Y%22">Mu Y</searchLink>; State Key Laboratory of Advanced Environmental Technology, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220213155%22">Environmental science & technology</searchLink> [Environ Sci Technol] 2026 Jun 08. <i>Date of Electronic Publication: </i>2026 Jun 08.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0213155 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-5851 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220013936X%22">0013936X </searchLink><i>NLM ISO Abbreviation: </i>Environ Sci Technol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42260899
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1021/acs.est.6c02558
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: An Ensemble Learning Framework Utilizing Fusion Molecular Fingerprints for Pollutant Removal Prediction in Advanced Treatments.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Luo MJ
      – PersonEntity:
          Name:
            NameFull: Guo ZH
      – PersonEntity:
          Name:
            NameFull: She Z
      – PersonEntity:
          Name:
            NameFull: Hou N
      – PersonEntity:
          Name:
            NameFull: Liu XM
      – PersonEntity:
          Name:
            NameFull: Mu Y
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 08
              M: 06
              Text: 2026 Jun 08
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1520-5851
          Titles:
            – TitleFull: Environmental science & technology
              Type: main
ResultId 1