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An evaluation of various data pre-processing techniques with machine learning models for water level prediction
Authors:Tiu  Ervin Shan Khai  Huang   Yuk Feng  Ng   Jing Lin  AlDahoul   Nouar  Ahmed   Ali Najah  Elshafie   Ahmed
Affiliation:1.Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kajang, 43000, Cheras, Selangor, Malaysia
;2.Department of Civil Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, 56000, Cheras, Kuala Lumpur, Malaysia
;3.Faculty of Engineering, Multimedia University, 63100, Cyberjaya, Malaysia
;4.Institute of Energy Infrastructure (IEI), Department of Civil Engineering, College of Engineering, University Tenaga Nasional (UNITEN), 43000, Selangor, Malaysia
;5.Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia
;
Abstract:Natural Hazards - Floods are the most frequent type of natural disaster. It destroys wildlife habitat, damages bridges, railways, roads, properties, and puts millions of people at risk. As such,...
Keywords:
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