IEEE

A Graph Convolutional Encoder-Decoder Model for Methane Concentration Forecasting in Coal Mines

Abstract: Methane is one of the most dangerous gases produced in the process of coal mining. Because of its flammable and explosive characteristics, it has seriously threatened the life and property ...
Time

6 Graphs That Show Where the U.S. Leads China on AI—and Where It Doesn’t

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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 ...
Frontiers

RS-STGCN: Regional-Synergy Spatio-Temporal Graph Convolutional Network for emotion recognition

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...
IEEE

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes

Abstract: 3D meshes are fundamental data representations for capturing complex geometric shapes in computer vision and graphics applications. While Convolutional Neural Networks (CNNs) have excelled ...