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A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction.

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第一单位: Department of Urban and Regional Planning, Chittagong University of Engineering and Technology (CUET), Chattogram, 4349, Bangladesh. Electronic address: sarfarazadnan@cuet.ac.bd.
作者单位: Department of Urban and Regional Planning, Chittagong University of Engineering and Technology (CUET), Chattogram, 4349, Bangladesh. Electronic address: sarfarazadnan@cuet.ac.bd. [1] 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@northsouth.edu. [2] Department of Urban and Regional Planning, Chittagong University of Engineering and Technology (CUET), Chattogram, 4349, Bangladesh. Electronic address: irfatkabir@gmail.com. [3] School of Environmental and Life Sciences University of Newcastle NSW-2258, Australia. Electronic address: Zobaidul.Kabir@newcatstle.edu.au. [4] Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada. Electronic address: mohammad.ahmed2@ucalgary.ca. [5] Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada. Electronic address: qhassan@ucalgary.ca. [6] Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh. Electronic address: rashedur.rahman@northsouth.edu. [7] Spatial Sciences Discipline, School of Earth and Planetary Sciences, Curtin University, Perth, 6102, Australia. Electronic address: A.Dewan@curtin.edu.au. [8]
DOI 10.1016/j.jenvman.2022.116813
PMID 36435143
发布时间 2022-12-07
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Journal of environmental management

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