MUMBAI, India, Jan. 7 -- Intellectual Property India has published a patent application (202511104245 A) filed by Lovely Professional University, Phagwara, Punjab, on Oct. 29, 2025, for 'machine learning system for locating small seismic events with low snr.'
Inventor(s) include Dr. Pavitar Parkash Singh; Dr. Neeta Raj Sharma; Rishi Chopra; and Dr. Rekha.
The application for the patent was published on Dec. 12, under issue no. 50/2025.
According to the abstract released by the Intellectual Property India: "A machine learning system for locating small seismic events with low SNR, comprising, a waveform data acquisition module 101 that collects and preprocesses seismic data to enhance signal quality, a distance neural network module 102 estimates epicenter distances, while the azimuth neural network module 103 determines back-azimuths from the processed waveforms, a model training module 104 pre-trains the networks on global datasets and fine-tunes them with localized seismic data for regional adaptability, a spatial constraint processing module 105 applies geographic constraints based on seismic station locations, refining neural network outputs, an event location module 106 fuses distance, azimuth, and spatial constraint data to generate accurate event locations, a testing and evaluation module assesses performance using region-specific datasets and relevant metrics, enabling continuous improvement."
Disclaimer: Curated by HT Syndication.
