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Flood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques.
Costache, Romulus; Arabameri, Alireza; Costache, Iulia; Craciun, Anca; Md Towfiqul Islam, Abu Reza; Abba, S I; Sahana, Mehebub; Pham, Binh Thai.
Afiliación
  • Costache R; Department of Civil Engineering, Transilvania University of Brasov, 5, Turnului Str, 500152, Brasov, Romania; Danube Delta National Institute for Research and Development,165 Babadag Street, 820112, Tulcea, Romania. Electronic address: romulus.costache@icub.unibuc.ro.
  • Arabameri A; Department of Geomorphology, Tarbiat Modares University, Tehran, 36581-17994, Iran. Electronic address: alireza.ameri91@yahoo.com.
  • Costache I; Faculty of Geography, University of Bucharest, Bucharest, 010041, Romania. Electronic address: iulia.elena.costache@gmail.com.
  • Craciun A; Danube Delta National Institute for Research and Development,165 Babadag Street, 820112, Tulcea, Romania. Electronic address: anca.craciun@ddni.ro.
  • Md Towfiqul Islam AR; Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh. Electronic address: towfiq_dm@brur.ac.bd.
  • Abba SI; Interdisciplinary Research Center for Membrane and Water Security, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia. Electronic address: saniisaabba86@gmail.com.
  • Sahana M; Department of Geography, University of Manchester, United Kingdom. Electronic address: mehebub.sahana@manchester.ac.uk.
  • Pham BT; Geotechnical Engineering and Artificial Intelligence research group (GEOAI), University of Transport Technology, 54 Trieu Khuc, Thanh Xuan, Ha Noi, 100000, Viet Nam. Electronic address: binhpt@utt.edu.vn.
J Environ Manage ; 316: 115316, 2022 Aug 15.
Article en En | MEDLINE | ID: mdl-35598454
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inundaciones / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Idioma: En Revista: J Environ Manage Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inundaciones / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Idioma: En Revista: J Environ Manage Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido