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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

Seismic Multiple Attenuation Method Based on Spectral Subtraction and Convolutional Dual Attention Mechanism ()

1 College of Science, Tianjin University of Technology and Education, Tianjin, China. 2 Lvliang Vocational and Technical College, Lvliang, China. Multiple reflections in seismic exploration data ...
IEEE

MFFGCN: Multimodal Feature Fusion Graph Convolution Network for Radio Map Estimation With Uneven Spatial Sampling

Abstract: Radio map estimation (RME) is a crucial method for analyzing spectrum space utilization and network coverage, serving as an essential tool for the mobile communication. However, physical ...
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

Triple Dynamic Graph Convolutional Recurrent Network for Traffic Prediction

Abstract: Effective traffic prediction is a critical component of traffic management, especially long-term traffic prediction, as it holds significance for urban traffic planning, traffic warning, ...