MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123930 A) filed by Vignan's Foundation For Science, Technology and Research, Tenali, Andhra Pradesh, on Dec. 9, 2025, for 'exoplanet detection using feature engineering with ensemble learning.'
Inventor(s) include G. Venkata Sai Rakesh; M. Jahnavi Bhuvana Chandrika; Dr. Ch. Venkata Rami Reddy; Mrs. Parvathi Devi Budda; Dr. A. Ranganadha Reddy; and Suneetha Muvva.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "In this work, a novel technique for detecting extra-terrestrial bodies using the transit method, with the aim of improving traditional algorithmic strategies in astronomy through machine learning algorithms. The potential for this approach to revolutionize the field of exoplanet detection and unlock new insights into the universe is highlighted. An ensemble learning approach using majority voting technique is employed to detect Exoplanets. In this work, we have used six machine learning models Random Forest, Decision Tree, Support Vector Classifier, K-Nearest Neighbor and Multi-Layer Perceptron, for Exoplanet Detection. Based on accuracy, we combined Support vector Classifier, K-Nearest Neighbor, Random Forest and Multi-Layer Perceptron using Majority Voting Technique to predict whether the planet is exoplanet or not. Majority Voting Technique (MVT) of machine learning models has shown higher significance when compared to the individual machine learning model in terms of accuracy. The accuracy of different individual models is ranging from 92.59% to 99.88% and MVT produced 99.97% accuracy."
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