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Ozone response modeling to NOx and VOC emissions: Examining machine learning models.

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Title: Ozone response modeling to NOx and VOC emissions: Examining machine learning models.
Authors: Kuo CP; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA., Fu JS; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA; Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan. Electronic address: jsfu@utk.edu.
Source: Environment international [Environ Int] 2023 Jun; Vol. 176, pp. 107969. Date of Electronic Publication: 2023 May 12.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 7807270 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6750 (Electronic) Linking ISSN: 01604120 NLM ISO Abbreviation: Environ Int Subsets: MEDLINE
Database: MEDLINE Ultimate
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DbLabel: MEDLINE Ultimate
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Ozone response modeling to NOx and VOC emissions: Examining machine learning models.
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  Data: <searchLink fieldCode="AU" term="%22Kuo+CP%22">Kuo CP</searchLink>; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA.<br /><searchLink fieldCode="AU" term="%22Fu+JS%22">Fu JS</searchLink>; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA; Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan. Electronic address: jsfu@utk.edu.
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  Data: <searchLink fieldCode="JN" term="%227807270%22">Environment international</searchLink> [Environ Int] 2023 Jun; Vol. 176, pp. 107969. <i>Date of Electronic Publication: </i>2023 May 12.
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  Data: Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%22">Elsevier Science </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>7807270 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-6750 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201604120%22">01604120 </searchLink><i>NLM ISO Abbreviation: </i>Environ Int <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.envint.2023.107969
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      – Code: eng
        Text: English
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        StartPage: 107969
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      – TitleFull: Ozone response modeling to NOx and VOC emissions: Examining machine learning models.
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            NameFull: Kuo CP
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            NameFull: Fu JS
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            – D: 01
              M: 06
              Text: 2023 Jun
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              Y: 2023
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              Value: 176
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            – TitleFull: Environment international
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