MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042546 A) filed by Sr University, Warangal, Telangana, on April 2, for 'deep learning driven predictive analytics framework for optimizing industrial operations.'
Inventor(s) include Dr. Shaik Bazani; and Dr. Balajee Maram.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a novel Deep Learning Driven Predictive Analytics Framework designed specifically for optimizing industrial operations. This framework integrates advanced deep learning algorithms with real-time data analytics to predict and mitigate operational inefficiencies in manufacturing environments. By leveraging neural networks trained on historical and streaming data from industrial sensors, the system enables proactive decision-making, reducing downtime and enhancing resource utilization. Key innovations include a modular architecture that incorporates adaptive learning modules for anomaly detection, predictive maintenance, and process optimization, all while ensuring scalability across diverse industrial sectors. The framework's unique feature lies in its hybrid model that combines convolutional neural networks for pattern recognition in time-series data with reinforcement learning for dynamic adjustment of operational parameters, resulting in up to 30% improvement in efficiency metrics. This invention addresses limitations in traditional analytics by providing interpretable insights through visualized dashboards, making it accessible for non-expert users in industrial settings."
Disclaimer: Curated by HT Syndication.
