Statistical Intelligence for Water Anomaly Detection


 Statistical Intelligence for Water Anomaly Detection


This study presents a mathematical and AI-driven approach to detecting anomalies in water systems. Using statistical inference, probability distributions, time-series modeling, and machine learning algorithms, the framework identifies irregular patterns in water quality, flow rates, and contamination levels.

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