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G. S

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Open access Aug 2026

Advanced IoT Framework for Water Pollution Monitoring and Prediction

An end-to-end Internet of Things framework designed for real-time water quality monitoring and predictive pollution modeling and a hybrid machine learning architecture—combining Long Short-Term Memory (LSTM) networks for time-series forecasting and Random Forest models for anomaly classification—is proposed.

Parvathy Krishna V, G. S, Sahala Mehrin et al. · 0 citations