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An Efficient Machine Learning System forPrediction of Water Quality with Explainable AIBy Nishant Khare, Priyanka Asthana
Abstract: Abstract Water availability and quality have been issues globally, especially in developing nations. Unchecked urbanization and industrialization contaminate natural water supplies and aquifers, potentially introducing physical, chemical, and biological contaminants. Over 80% of illnesses are caused by drinking tainted water, according to a WHO assessment. As clean water sources become more at risk, water quality protection has become of human, environmental, and economic importance worldwide. These water sources, crucial for …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 1, 2025 · pp. 33–42 Read article →