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Analysis of indium (III) adsorption from leachates of LCD screens using artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANIFS).

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Title: Analysis of indium (III) adsorption from leachates of LCD screens using artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANIFS).
Authors: Franco DSP; Chemical Engineering epartment, Federal University of Santa Maria-UFSM, Santa Maria, RS, Brazil. Electronic address: francodison@gmail.com., Duarte FA; Department of Chemistry, Federal University of Santa Maria-UFSM, Santa Maria, RS, Brazil. Electronic address: fabioand@gmail.com., Salau NPG; Chemical Engineering epartment, Federal University of Santa Maria-UFSM, Santa Maria, RS, Brazil., Dotto GL; Chemical Engineering epartment, Federal University of Santa Maria-UFSM, Santa Maria, RS, Brazil. Electronic address: guilherme.dotto@ufsm.br.
Source: Journal of hazardous materials [J Hazard Mater] 2020 Feb 15; Vol. 384, pp. 121137. Date of Electronic Publication: 2019 Sep 05.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
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
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Analysis of indium (III) adsorption from leachates of LCD screens using artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANIFS).
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  Data: <searchLink fieldCode="AU" term="%22Franco+DSP%22">Franco DSP</searchLink>; Chemical Engineering epartment, Federal University of Santa Maria-UFSM, Santa Maria, RS, Brazil. Electronic address: francodison@gmail.com.<br /><searchLink fieldCode="AU" term="%22Duarte+FA%22">Duarte FA</searchLink>; Department of Chemistry, Federal University of Santa Maria-UFSM, Santa Maria, RS, Brazil. Electronic address: fabioand@gmail.com.<br /><searchLink fieldCode="AU" term="%22Salau+NPG%22">Salau NPG</searchLink>; Chemical Engineering epartment, Federal University of Santa Maria-UFSM, Santa Maria, RS, Brazil.<br /><searchLink fieldCode="AU" term="%22Dotto+GL%22">Dotto GL</searchLink>; Chemical Engineering epartment, Federal University of Santa Maria-UFSM, Santa Maria, RS, Brazil. Electronic address: guilherme.dotto@ufsm.br.
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  Data: <searchLink fieldCode="JN" term="%229422688%22">Journal of hazardous materials</searchLink> [J Hazard Mater] 2020 Feb 15; Vol. 384, pp. 121137. <i>Date of Electronic Publication: </i>2019 Sep 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9422688 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-3336 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203043894%22">03043894 </searchLink><i>NLM ISO Abbreviation: </i>J Hazard Mater <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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        Value: 10.1016/j.jhazmat.2019.121137
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      – Code: eng
        Text: English
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      – TitleFull: Analysis of indium (III) adsorption from leachates of LCD screens using artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANIFS).
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              Text: 2020 Feb 15
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