Intellectual Property India Publishes Patent Application for A Hybrid Deep Learning System For Improved Time Series Forecasting Using Integrated Cnn–lstm–attention Architecture

MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079050 A) filed by Sr University on June 25, 2026, for A Hybrid Deep Learning System For Improved Time Series Forecasting Using Integrated Cnn–lstm–attention Architecture.

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: A HYBRID DEEP LEARNING SYSTEM FOR IMPROVED TIME SERIES FORECASTING USING INTEGRATED CNN– LSTM–ATTENTION ARCHITECTURE The present invention relates to a hybrid deep learning system for improved time-series forecasting using an integrated CNN–BiLSTM–Attention architecture. The system comprises...