Abstract: Satellite image classification is a key task in remote sensing, where deep learning models are increasingly applied for their accuracy and automation capabilities. This study conducts a ...
bbPharmacy Department, Parc Sanitari Sant Joan de Déu (PSSJD), Carrer del Dr. Antoni Pujadas, 42, 08830 Sant Boi de Llobregat, Spain bcCentre for Statistics in Medicine, Nuffield Department of ...
Soybean is one of the world’s major oil-bearing crops and occupies an important role in the daily diet of human beings. However, the frequent occurrence of soybean leaf diseases caused serious threats ...
Background: With optical coherence tomography (OCT), doctors are able to see cross-sections of the retinal layers and diagnose retinal diseases. Computer-aided diagnosis algorithms such as ...
I installed Pytorch successfully, and the devices are successfully found by torch. cuda:0 returns the iGPU, cuda:1 returns RX 9070XT Running py -m torch.utils.collect ...
This library provides PyTorch implementations of tensor-train decomposed neural network layers that can significantly reduce the number of parameters in deep neural networks while maintaining accuracy ...
Abstract: Graph convolutional neural networks have demonstrated promising solutions for processing non-Euclidean data in tasks such as node classification. While existing graph convolution models aim ...
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