Tag: Transformer

Researchers have built an explainable stacking machine learning framework that jointly forecasts electrical load and predicts transformer remaining lifespan in ...

An enhanced RT-DETR-ResNet18 framework raises detection accuracy for camouflaged soybean pests, reaching 77.4% mAP@0.5 across 12 pest categories.

A new multimodal transformer framework detects REM sleep behavior disorder with an AUC of 0.95 while running in 28 milliseconds, ...

A lightweight hybrid transformer model combining wavelet transforms with MobileViT achieved over 99% accuracy in classifying plant diseases across four ...

A new spectral-temporal deep learning framework reached 0.8469 accuracy on a fixed Sleep-EDF test partition while flagging low-confidence epochs for ...

Kazakh researchers built a 3.5-million-parameter multi-branch Transformer that recognizes Kazakh Sign Language gestures from unseen signers, outperforming three baselines under ...

A new deep learning network called MTF-Net combines multi-scale transformer attention with cross-branch feature fusion to segment brain tumors from ...

A new open-access study combines Transformer temporal encoding with proximal policy optimization to personalize long-term digital psychological interventions, reporting significantly ...

A self-supervised transformer model trained on more than 4,400 fetal heart rate recordings from Tanzanian hospitals can reconstruct missing signal ...

A hybrid ConvNeXV2 and Transformer–TCN deep learning model forecasts C-class and M-class solar flares 24 hours ahead with True Skill ...