Graph neural network model learns design element links for sharper style transfer
A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among visual ...
A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among visual ...
A capsule neural network model called AMP-CapsNet achieved 97.29 percent test accuracy in classifying antimicrobial peptides when using dipeptide composition ...
A new point-supervised deep learning model counts wheat seedlings in drone images using only dot annotations while also mapping their ...
A new Vision Mamba-based network with enhanced edge-guided attention achieves competitive optic disc and cup segmentation across four fundus image ...
A clinically conditional deep learning model combining whole-slide images with clinical features predicted five pituitary neuroendocrine tumor subtypes with 91.8% ...
Researchers report a one-shot detection method that lets orchard workers specify a harvesting target with a single click, reaching 57.78 ...
A unified taxonomy of long-term forecasting models shows that channel-independent designs excel on simple benchmarks while channel-dependent designs gain an ...
A compact deep-learning model called minisplice learns splice signals across vertebrates and insects and, when integrated into minimap2 and miniprot, ...
VISTA-Edge weights seven rotating polarizer views pixel by pixel to outperform existing baselines on petrographic thin-section edge segmentation.
A fine-tuned VGG16 network achieved 84.0 percent subset accuracy and an 85.2 percent micro-averaged F1-score on a held-out test set ...
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© 2025 Scienmag - Science Magazine