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

Brain-to-Text '25: Neural Speech Decoding

Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
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

Joint Identification of Encoders and Interleavers Using Deep Learning With Hardware Validation

Abstract: In the fifth-generation (5G) communication era, efficient transmitter operations are essential, with channel encoding and interleaving mitigating random and burst errors to ensure reliable ...