MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051524 A) filed by Sr University, Warangal, Telangana, on April 22, for 'investigating deep learning approaches for predictive analytics in industrial settings.'
Inventor(s) include Dr. Shaik Bazani; and Dr Balajee Maram.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention is a deep learning based predictive analytics system designed specifically for industrial settings to forecast equipment failures, production issues, and process inefficiencies in real time. It proposes a hybrid deep learning framework that combines sensor data from factory machines with advanced neural networks to deliver accurate predictions and actionable insights. Unlike older statistical methods, this system learns patterns automatically from large volumes of industrial data and updates itself continuously. The invention improves prediction accuracy by up to 28 percent and reduces unplanned downtime by nearly 35 percent in real factory tests. It is built for easy use in manufacturing plants, power stations, and chemical units where quick and reliable forecasts can save time and money."
Disclaimer: Curated by HT Syndication.
