Open access
Oct 2026
A unified LSTM autoencoder–random forest AI-IoT framework for real-time water quality monitoring, anomaly detection, and water quality index prediction
Real-time water quality monitoring is essential for protecting aquatic ecosystems and public health; however, existing intelligent monitoring systems typically address either anomaly detection or Water Quality Index (WQI) prediction independently, limiting their effectiveness for continuous environmental surveillance....
G. Oise, Immunhierokene Clinton Obrorindo, I. V. Ngonadi et al.
· Discover Informatics · 0 citations