News-Medical.Net

Novel embedding-driven AI for adaptable brain control

Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...
IEEE

GGCT-Net: A Dual-Branch Gated Graph Convolution and Grouped Cross-Attention Transformer Network for Hyperspectral Unmixing

Abstract: In recent years, deep learning-based hyperspectral unmixing techniques have garnered increasing attention and achieved significant progress. However, existing deep learning methods exhibit ...
EurekAlert!

PlantIF: Revolutionizing plant disease diagnosis with multimodal learning for precision agriculture

The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...
Scientific Research Publishing

Convolutional Homeomorphic Error-Correcting Codes Utilizing Nano Controlled-Selector Architectural Effectuation ()

1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
GitHub

Pull requests: Gabriele-Immordino/Spatio-temporal-Graph-Convolutional-Autoencoder-for-Transonic-Wing-Pressure-Distribution-Forecasting

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
IEEE

Encoder-Enhanced Graph Convolutional Network for Cross-Domain Mechanical Fault Diagnosis

Abstract: Graph Convolutional Network (GCN) has been widely applied in mechanical fault diagnosis due to its ability to extract features from data in non-Euclidean spaces. However, the local ...