Intellectual Property India Publishes Patent Application for A Hybrid Deep Learning System For Enhanced Time-Series Forecasting

MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641077386 A) filed by Sr University on June 23, 2026, for A Hybrid Deep Learning System For Enhanced Time-Series Forecasting.

Inventors include S T V S S Yadunandan; Dr. Sudersan Behera; and Dr Sarat Chandra Nayak.

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

Abstract: ABSTRACT Disclosed herein is a hybrid deep learning system (100) for enhanced time-series forecasting, the system (100) comprising a user interface (104) integrated into a user device (102) configured to collect sequential time-series data from multiple sources and facilitate interaction between a user and the system (100), a communication ...