Efficient Water Quality Prediction Using Supervised Machine Learning

Efficient Water Quality Prediction Using Supervised Machine Learning

Water makes up about 70% of the earth’s surface and is one of the most important sources vital to sustaining life. Rapid urbanization and industrialization have led to a deterioration of water quality at an alarming rate, resulting in harrowing diseases. Water quality has been conventional...

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Bibliographic Details
Main Authors:	Umair Ahmed, Rafia Mumtaz, Hirra Anwar, Asad A. Shah, Rabia Irfan, José García-Nieto
Format:	Article
Language:	English
Published:	MDPI AG 2019-10-01
Series:	Water
Subjects:	water quality prediction supervised machine learning smart city gradient boosting multi-layer perceptron
Online Access:	https://www.mdpi.com/2073-4441/11/11/2210

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