Tag: transfer learning

Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while ...

A new study shows that lightweight transformer models can automatically classify the roles participants play in cyberbullying episodes, setting a ...

Researchers have developed SkinEnsemNet, an ensemble deep learning framework combining VGG16, DenseNet201, and EfficientNetB0 that achieves up to 98.85 percent ...

Researchers in Pakistan trained deep learning models to distinguish four histopathologically similar inflammatory skin diseases with up to 96.67 percent ...

Researchers combined UniProt protein embeddings with attention-enhanced deep neural networks to classify plant enzymes with near-perfect accuracy across four major ...

Researchers compared seven convolutional neural network architectures for detecting diseases and pests in star fruit and found that the classic ...

Researchers have built a digital microfluidic platform in which AI-guided nanolitre droplets autonomously run, adapt and optimize colorimetric biochemical assays ...

A new interpretable deep learning framework called EnhancerDetector identifies gene enhancers from DNA sequence alone across species from human to ...

Researchers have combined a pretrained ResNet50 with a Convolutional Block Attention Module to detect grape leaf diseases with over 99 ...

Researchers used a recurrent neural network fine-tuned on 5,178 validated mTOR inhibitors to generate 200 novel molecules, four of which ...