Intellectual Property India Publishes Patent Application for 'A Robust Deep Learning System And Method For Environmental Health Impact Prediction Using Fourier Feature Expansion, Gated Linear Units, And Squeeze-And-Excitation Based Residual Learning Architecture' Filed by Sr University

MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202641001511 A) filed by Sr University, Warangal, Telangana, on Jan. 6, for 'a robust deep learning system and method for environmental health impact prediction using fourier feature expansion, gated linear units, and squeeze-and-excitation based residual learning architecture.'

Inventor(s) include Bobbala Rajesh Reddy; and R. Vijaya Prakash.

The application for the patent was published on Jan. 23, under issue no. 04/2026.

According to the abstract released by the Intellectual Property India: "The present invention discloses a robust deep learning system and method for predicting health impact outcomes from environmental air quality data. The invent...