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) ...
IEEE

Implementation and Evaluation of a Deep Learning-Based Wireless Decoder Using Real-World Over-the-Air Data

Abstract: Wireless communication forms the backbone of our increasingly connected world. To address the growing demand for faster, more reliable, and adaptive wireless systems, researchers are ...
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, ...
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 and anomaly detection using a Dual Attention Encoder-Decoder architecture with an ...

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