Artificial Neural Network (ANN) approach in predicting arsenic and mercury species in Kinta River / Norshidah Baharuddin

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Artificial Neural Network (ANN) approach in predicting arsenic and mercury species in Kinta River / Norshidah Baharuddin

Surface water is most exposed to pollution from chemical, physical and biological contaminants by anthropogenic activities. Identifying the variables contributing to the deterioration of water quality is crucial and predicting the future status is vital in managing the ecosystem. As Kinta River is a...

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Bibliographic Details
Main Author:	Baharuddin, Norshidah
Format:	Book Section
Language:	English
Published:	Institute of Graduate Studies, UiTM 2015
Subjects:	Malaysia
Online Access:	https://ir.uitm.edu.my/id/eprint/19329/

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