IEEE

An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification

Abstract: Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) have gained substantial attention, particularly for motor imagery (MI) that facilitates direct brain-to-device communication ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
AZoSensors on MSN

AI maps heat inside steelmaking’s critical sintering process beds

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.
GitHub

temporal-convolutional-network

A complete end-to-end reinforcement learning pipeline for intraday stock trading using Soft Actor-Critic (SAC), featuring a custom Gym environment, market data feature engineering, and automated ...
Frontiers

Multi-pollutant air quality forecasting using bidirectional attention and multi-scale temporal networks

1 Department of Electrical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia 2 Faculty of Engineering and Information Technology, Southern University College, Skudai, Malaysia Introduction: ...
Frontiers

Convolutional spatio-temporal sequential inference model for human interaction behavior recognition

1 School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China 2 School of Computer Science and Technology, Taiyuan University of Science and Technology (TYUST), Taiyuan, ...
IEEE

A Dual Output Temporal Convolutional Network With Attention Architecture for Stock Price Prediction and Risk Assessment

Abstract: In this paper, we propose a novel deep learning model that integrates a Temporal Convolutional Network (TCN) with an Attention mechanism to predict stock prices and assess risk for ...
GitHub

ElvianElvy/Graph-Convolutional-LSTM-Spatial-Temporal-GNN-

A comprehensive PyTorch-based system for predicting cryptocurrency prices using a state-of-the-art Spatial-Temporal Graph Neural Network (ST-GNN) model. This advanced implementation integrates ...
EurekAlert!

D2-GCN: a graph convolutional network with dynamic disentanglement for node classification

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...