Intellectual Property India Publishes Patent Application for Intelligent Hybrid Ai Algorithm For Real-Time Solution Of Differential Equations In Engineering Applications

MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641077307 A) filed by Dr. M. Siva Mala; Dr. Raviraj Sureshchandra Katare; Dr. Nellore Manoj Kumar; Mr. Bodigiri Sai Gopinadh; Dr. M. Elumalai; Dr. M. Mallika; Mr. M. Sudheer Kumar; Mr. Asfar H Siddiqui; and Dr. Jyoti A. Dhanke on June 23, 2026, for Intelligent Hybrid Ai Algorithm For Real-Time Solution Of Differential Equations In Engineering Applications.

Inventors include Dr. M. Siva Mala; Dr. Raviraj Sureshchandra Katare; Dr. Nellore Manoj Kumar; Mr. Bodigiri Sai Gopinadh; Dr. M. Elumalai; Dr. M. Mallika; Mr. M. Sudheer Kumar; Mr. Asfar H Siddiqui; and Dr. Jyoti A. Dhanke.

The application for the patent was published on July 03, 2026, under issue no. 27/2026.

Abstract: The present invention discloses an Intelligent Hybrid AI Algorithm for Real-Time Solution of Differential Equations in Engineering Applications. The invention integrates machine learning techniques, deep neural networks, reinforcement learning mechanisms, adaptive optimization methods, and conventional numerical solvers into a unified computational framework for solving ordinary differential equations (ODEs) and partial differential equations (PDEs) in real time. The proposed system acquires engineering data, performs intelligent preprocessing, classifies mathematical models, predicts solution behavior, and dynamically selects optimal computational strategies to improve accuracy and reduce processing time. The invention further incorporates adaptive learning, uncertainty analysis, error correction, physical constraint verification, and resource optimization modules to enhance reliability and scalability. The framework supports deployment across cloud, edge, and embedded computing environments and is applicable to electrical power systems, renewable energy systems, robotics, aerospace engineering, industrial automation, digital twins, and smart manufacturing applications. The invention provides a fast, adaptive, and computationally efficient solution for complex engineering problems governed by differential equations.

Disclaimer: Curated by HT Syndication.