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Waste to energy spatial suitability analysis using hybrid multi-criteria machine learning approach.

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Title: Waste to energy spatial suitability analysis using hybrid multi-criteria machine learning approach.
Authors: Al-Ruzouq R; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates. ralruzouq@sharjah.ac.ae.; GIS & Remote Sensing Center, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates. ralruzouq@sharjah.ac.ae.; Sustainable Civil Infrastructure Systems Research Group, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates. ralruzouq@sharjah.ac.ae., Abdallah M; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates., Shanableh A; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.; GIS & Remote Sensing Center, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.; Sustainable Civil Infrastructure Systems Research Group, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates., Alani S; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.; Sustainable Civil Infrastructure Systems Research Group, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates., Obaid L; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.; Sustainable Civil Infrastructure Systems Research Group, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates., Gibril MBA; GIS & Remote Sensing Center, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.
Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 Jan; Vol. 29 (2), pp. 2613-2628. Date of Electronic Publication: 2021 Aug 10.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Waste to energy spatial suitability analysis using hybrid multi-criteria machine learning approach.
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  Data: <searchLink fieldCode="AU" term="%22Al-Ruzouq+R%22">Al-Ruzouq R</searchLink>; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates. ralruzouq@sharjah.ac.ae.; GIS & Remote Sensing Center, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates. ralruzouq@sharjah.ac.ae.; Sustainable Civil Infrastructure Systems Research Group, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates. ralruzouq@sharjah.ac.ae.<br /><searchLink fieldCode="AU" term="%22Abdallah+M%22">Abdallah M</searchLink>; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Shanableh+A%22">Shanableh A</searchLink>; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.; GIS & Remote Sensing Center, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.; Sustainable Civil Infrastructure Systems Research Group, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Alani+S%22">Alani S</searchLink>; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.; Sustainable Civil Infrastructure Systems Research Group, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Obaid+L%22">Obaid L</searchLink>; Civil and Environmental Engineering Department, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.; Sustainable Civil Infrastructure Systems Research Group, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Gibril+MBA%22">Gibril MBA</searchLink>; GIS & Remote Sensing Center, Research Institute of Sciences and Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.
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  Data: <searchLink fieldCode="JN" term="%229441769%22">Environmental science and pollution research international</searchLink> [Environ Sci Pollut Res Int] 2022 Jan; Vol. 29 (2), pp. 2613-2628. <i>Date of Electronic Publication: </i>2021 Aug 10.
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              Text: 2022 Jan
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