A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
Abstract: Aiming at the problem of poor edge effect segmentation in point cloud segmentation, which fails to fully utilize the correlation between the local geometric and semantic features of point ...
Abstract: Hypercomplex graph convolutions with higher hypercomplex dimensions can extract more complex features in graphs and features with varying levels of complexity are suited for different ...
Well, many users are aware of the Graphical and Text-based Multiboot Menu in Windows 11/10 but don’t know the difference between the two. The major difference between the two lies primarily in their ...
The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...
Attention-based multi-semantic dynamical graph convolutional network for eeg-based fatigue detection
Introduction: Establishing a driving fatigue monitoring system is of utmost importance as severe fatigue may lead to unimaginable consequences. Fatigue detection methods based on physiological ...
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