MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133356 A) filed by Cvr College Of Engineering, Hyderabad, Telangana, on Dec. 30, 2025, for 'detecting anomalies using nn-lstm autoencoders in water quality data.'
Inventor(s) include Dr. Roshini L.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The current patent introduces anomaly detection in water quality data using NN-LSTM autoencoders to improve quality of water. Contamination in water-data is often treated as anomalies; detecting manually this contamination is difficult. Convolutional layers extract key features, while LSTM layers capture temporal patterns in the data. The autoencoder learns normal water quality behavior, and significant reconstruction errors indicate anomalies. Groundwater quality data is used to demonstrate the model's effectiveness in identifying irregularities and supporting timely decision-making. The proposed approach enhances reliability in water quality assessments, reduces risks associated with unnoticed contamination, and contributes to protecting environmental and public health."
Disclaimer: Curated by HT Syndication.
