MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061345 A) filed by Sr University, Warangal, Telangana, on May 14, for 'an explainable ai-based early warning system for hazardous air pollution episodes.'
Inventor(s) include Sanda Akhila; and Dr. Amit Kumar Yadav.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "Disclosed herein is an explainable AI-based early warning system (100) for hazardous air pollution episodes using causal LSTM and transformer models, the system (100) comprises a data acquisition module (102) configured to receive and aggregate real-time and historical environmental data. The system also includes a pre-processing module (104) configured to normalize, filter, synchronize, and transform the received environmental data. The system also includes a temporal prediction module (106) comprises an LSTM model and a transformer model. The system also includes an extreme event detection module (108) configured to classify predicted air quality index (AQI) levels. The system also includes a causal explainability module (110) configured to extract attention weights from the Transformer model. The system also includes an early warning module (112) configured to generate predictive alerts prior. The system also includes a deployment interface (114) configured to enable execution of the system."
Disclaimer: Curated by HT Syndication.
