Data Pre-Processing Techniques For Improving River Water Level Prediction: A Case Study Of The Dungun River, Terengganu, Malaysia

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Data Pre-Processing Techniques For Improving River Water Level Prediction: A Case Study Of The Dungun River, Terengganu, Malaysia

An accurate river water level prediction model is vital for the development of flood mitigation plans in a river basin, and the accuracy of input data is important for ensuring good predictions. In this research study, a Support Vector Regression (SVR) model was applied to predict river water levels...

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Bibliographic Details
Main Author:	Tiu, Ervin Shan Khai
Format:	Final Year Project / Dissertation / Thesis
Published:	2019
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utar.edu.my/3633/ http://eprints.utar.edu.my/3633/1/ESA%2D2019%2D1607563%2D1.pdf

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