Intellectual Property India Publishes Patent Application for 'A Deep Learning-Driven Iot System For Autonomous System Behavior Adjustment' Filed by Muthayammal Engineering College

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049751 A) filed by Muthayammal Engineering College, Namakkal, Tamil Nadu, on April 19, for 'a deep learning-driven iot system for autonomous system behavior adjustment.'

Inventor(s) include Dr. J. Rangarajan; Mrs. R. Vimalarasi; Dr. P. Senthilkumar; Mr. R. Prakash; Gopiha S; Gowri Sankar. R; Kavin K; Abinesh K; Dinesh Kannan P; Jeevananthan M; and Karthickraja R.

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 discloses a deep learning-driven IoT system for autonomous system behavior adjustment. The system integrates IoT sensors, actuators, edge computing, and cloud-based deep learning models to enable real-time monitoring, analysis, and control of connected systems. The system continuously learns from data and dynamically adjusts operational parameters to optimize performance. The invention incorporates reinforcement learning, anomaly detection, and feedback mechanisms to ensure adaptive and intelligent behavior. The system provides a scalable and efficient solution for autonomous control across various applications, enhancing reliability, efficiency, and operational effectiveness."

Disclaimer: Curated by HT Syndication.