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What is Water Quality Forecasting with ML Techniques about?

This review analyzes the application of machine learning models and statistical methods for forecasting and classifying water quality, particularly in Malaysia, where pollution from industrialization and urbanization poses significant challenges. It emphasizes the importance of hybrid models and statistical techniques like principal component analysis to enhance model interpretability and reliability. The study identifies research gaps and suggests future directions for developing adaptive water quality man

Author

laneingstudio

Language

EN