Comparative Study on Water Potability Prediction using Ensembled Based Techniques

Water quality assessment plays a vital role in public health protection and environmental sustainability. Conventional testing techniques, though accurate, are time-consuming, labour-intensive, and prone to human error. Recent advancements in Machine Learning (ML), Deep Learning (DL), and the Intern...

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Bibliographic Details

Main Authors:	Akshatha, M. R., Chitra, K.
Format:	Article
Language:	en en
Published:	INTI International University 2025
Subjects:	GE Environmental Sciences T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering
Online Access:	http://eprints.intimal.edu.my/2255/1/joit2025_23.pdf http://eprints.intimal.edu.my/2255/2/807 http://eprints.intimal.edu.my/2255/ http://ipublishing.intimal.edu.my/joint.html
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