Nature

Crop-weed classification using deep learning: a comparative study of CNNs, vision transformers, and interpretable models

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
SciELO

RESEARCH ON REMOTE SENSING CROP CLASSIFICATION BASED ON IMPROVED U-NET

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...
GitHub

kentaroy47/vision-transformers-cifar10

This is your go-to playground for training Vision Transformers (ViT) and its related models on CIFAR-10/CIFAR-100, a common benchmark dataset in computer vision. The whole codebase is implemented in ...
IEEE

Structural Approach to Convolutional Neural Network Trained With Novel Scaled Matrix Image for Pseudo Real-Time Power Quality Event Monitoring

Abstract: The trend of integrating different distributed generation sources into the existing grid have increased the probability of power quality disturbances to a threatening level. Eventually, ...