Tech Xplore

AI-powered surrogate models bring real-time simulation to composite manufacturing

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
IEEE

Efficient Image Dehazing Using an Encoder-Decoder Network with Residual Learning

Abstract: The visual quality of images significantly declines in hazy conditions, resulting in reduced visibility and low contrast. Current methods are insufficient in estimating the transmission map, ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
GitHub

Cell Decoder: Decoding cell identity with multi-scale explainable deep learning

We created the python package called celldecoder that that decoding cell identity from gene expressions by explicitly modeling the multi-scale biological interactions, i.e., genes, pathways, and ...
IEEE

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli

Abstract: We propose an end-to-end deep neural encoder-decoder model to encode and decode brain activity in response to naturalistic stimuli using functional magnetic resonance imaging (fMRI) data.
GitHub

GitHub - SVNSAIRAVIKIRAN/DAEIN: Deep learning framework for energy consumption forecasting ...

Deep learning framework for energy consumption forecasting and anomaly detection using a Dual Attention Encoder-Decoder architecture with an interactive analytics dashboard. - SVNSAIRAVIKIRAN/DAEIN ...