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 network (106) configured to establish a communication link for seamless data transmission within the system (100) and a processing unit (108) operatively connected to the user device (102) via the communication network (106) and configured to evaluate the sequential time-series data for generating forecasting predictions, wherein the processing unit (108) further comprises a data acquisition module (112), a preprocessing module (114), a feature extraction module (116), a temporal learning module (118), an adaptive attention module (120), a hybrid feature fusion module (122), a forecast generation module (124) and an output module (128).
Disclaimer: Curated by HT Syndication.
