The prediction of blue water footprint at Semambu water treatment plant by means of Artificial Neural Networks (ANN) and Support Vector Machine (SVM) models
Machine (SVM) models.

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The prediction of blue water footprint at Semambu water treatment plant by means of Artificial Neural Networks (ANN) and Support Vector Machine (SVM) models Machine (SVM) models.

The prediction of the blue water footprint in water services such as in water treatment plants (WTPs) is non-trivial to water resource management. Currently, the sustainability of water resources is of great concern globally, particularly in addressing the 6th goal of the United Nation's Sustai...

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Bibliographic Details
Main Authors:	Syazwan Nizam, Moni, Edriyana, Abd Aziz, Anwar P. P., Abdul Majeed, Marlinda, Malek
Format:	Article
Language:	English English
Published:	Elsevier Ltd. 2021
Subjects:	TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/32928/ http://umpir.ump.edu.my/id/eprint/32928/1/The%20prediction%20of%20blue%20water%20footprint%20at%20Semambu%20water%20treatment%20plant%20.pdf http://umpir.ump.edu.my/id/eprint/32928/2/The%20prediction%20of%20blue%20water%20footprint%20at%20Semambu%20water%20treatment%20plant.pdf

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