Flood forecasting using committee machine with intelligent systems: a framework for advanced machine learning approach
Among many natural hazards, flood disasters are the most incisive, causing tremendous casualties, in-depth injury to human life, property losses and agriculture, therefore affected the socioeconomic system of the area. Contributing to disaster risk reduction and the property damage associated with f...
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Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/93809/1/ShahrumShah2020_FloodForecastingusingCommitteeMachine.pdf http://eprints.utm.my/id/eprint/93809/ http://dx.doi.org/10.1088/1755-1315/479/1/012039 |
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