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A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction.
Adnan, Mohammed Sarfaraz Gani; Siam, Zakaria Shams; Kabir, Irfat; Kabir, Zobaidul; Ahmed, M Razu; Hassan, Quazi K; Rahman, Rashedur M; Dewan, Ashraf.
Afiliación
  • Adnan MSG; Department of Urban and Regional Planning, Chittagong University of Engineering and Technology (CUET), Chattogram, 4349, Bangladesh. Electronic address: sarfarazadnan@cuet.ac.bd.
  • Siam ZS; Department of Electrical and Computer Engineering, Presidency University, Dhaka, Bangladesh; Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia. Electronic address: zakaria.siam@
  • Kabir I; Department of Urban and Regional Planning, Chittagong University of Engineering and Technology (CUET), Chattogram, 4349, Bangladesh. Electronic address: irfatkabir@gmail.com.
  • Kabir Z; School of Environmental and Life Sciences University of Newcastle NSW-2258, Australia. Electronic address: Zobaidul.Kabir@newcatstle.edu.au.
  • Ahmed MR; Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada. Electronic address: mohammad.ahmed2@ucalgary.ca.
  • Hassan QK; Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada. Electronic address: qhassan@ucalgary.ca.
  • Rahman RM; Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh. Electronic address: rashedur.rahman@northsouth.edu.
  • Dewan A; Spatial Sciences Discipline, School of Earth and Planetary Sciences, Curtin University, Perth, 6102, Australia. Electronic address: A.Dewan@curtin.edu.au.
J Environ Manage ; 326(Pt B): 116813, 2023 Jan 15.
Article en En | MEDLINE | ID: mdl-36435143
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inundaciones / Aprendizaje Automático Idioma: En Revista: J Environ Manage Año: 2023 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 Automático Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido