Tech Xplore

Holographic storage approach packs more data into the same space by encoding three properties of light

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...
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

Benchmarking Encoders and Self-Supervised Learning for Smartphone-Based Human Activity Recognition

Abstract: Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To ...
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 ...