Tag: deep learning

Researchers at Ningbo University developed PestFG-RTDETR, a transformer-based detector that improves small pest detection in dense trap-captured images with higher ...

A new open-set recognition network flags tomato leaf images from disease classes it was never trained on, outperforming standard baselines ...

A comprehensive review details how deep neural networks are automating every stage of cryo-electron microscopy, from particle picking to high-resolution ...

A fully convolutional network with layer-wise fine-tuning classifies malware families with over 99% accuracy across three datasets and processes obfuscated ...

A systematic review of 60 strawberry detection studies finds that 35 percent applied data augmentation before dataset splitting, a controlled ...

A new GRU–TimeMixerKAN deep learning model achieved the lowest prediction errors across three reactivated landslides in China's Three Gorges Reservoir ...

Researchers in Greece used drone footage and a neural network to predict with over 92 percent accuracy whether drivers will ...

A deep learning program trained on trypan blue-stained images classifies live and dead unstained cancer cells in phase-contrast microscopy with ...

A clinical study of 90 patients found that GAN-enhanced short-acquisition PET images improved lesion detection and maintained metabolic metrics, though ...

A hybrid vision transformer-CNN model detected epileptic seizures in pediatric EEG recordings with 99.8 percent average sensitivity while quantitatively explaining ...