Scientific Research Publishing

Graph Neural Networks for Spatio-Temporal Forecasting of Foot-and-Mouth Disease Risk Using Livestock Movement Traceability Data ()

1 Department of Computer Science, Mountains of the Moon University, Fortportal, Uganda. 2 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 3 Department of ...
IEEE

Spatio-Temporal Graph Convolutional Network Incorporating Knowledge Graph Embeddings for Hydrological Time Series Prediction

Abstract: This paper proposes a spatio-temporal graph convolutional network incorporating knowledge graph embeddings for hydrological time series prediction. A knowledge graph is constructed to ...
IEEE

A Spatial-Temporal Graph Convolutional Network With Self-Attention for City-Level Cellular Network Traffic Prediction

Abstract: Accurate and efficient cellular traffic prediction is crucial for enhancing the user quality of experience in mobile networks. However, this task faces significant challenges due to the ...
News Medical

New AI models detect dementia with high accuracy using EEG signals

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...
Frontiers

TCPL: task-conditioned prompt learning for few-shot cross-subject motor imagery EEG decoding

Motor imagery (MI) electroencephalogram (EEG) decoding plays a critical role in brain–computer interfaces but remains challenging due to large inter-subject variability and limited training data.
GitHub

Spatial Temporal Graph Convolutional Networks (ST-GCN)

Our demo for skeleton based action recognition: ST-GCN is able to exploit local pattern and correlation from human skeletons. Below figures show the neural response magnitude of each node in the last ...
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

Convolutional neural networks decode finger movements in motor sequence learning from MEG data

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...