MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061329 A) filed by Sr University, Warangal, Telangana, on May 14, for 'an adaptive explainable artificial intelligence system with ethical and secure framework for long-term and short-term air pollution forecasting under climate variability.'
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: "An adaptive explainable artificial intelligence system for air pollution forecasting under climate variability is disclosed. The system comprises a multi-source environmental data acquisition module, a forecasting engine configured for short-term and long-term pollution prediction, a concept drift detection module, and an adaptive learning module for dynamic model updating. The invention further includes an explainability engine configured to generate interpretable forecasting explanations, an ethical governance layer configured to ensure fairness and transparency, and a security framework configured to provide data integrity and adversarial protection. The system continuously adapts to changing atmospheric and climatic conditions while maintaining forecasting accuracy, interpretability, ethical compliance, and operational security. The invention is suitable for environmental monitoring systems, smart cities, public health management, and climate-aware pollution forecasting applications."
Disclaimer: Curated by HT Syndication.
