Tag: Transformer

A new dual-branch U-Net called PDSA-DBUNet combines dynamic sparse attention with a polynomial mixer to achieve record abdominal CT segmentation ...

Researchers have built a transformer that treats missing Wi-Fi signals as informative data, achieving the lowest errors among reproduced baselines ...

A hybrid Transformer-BiLSTM deep learning framework with a dual nature-inspired feature selection method reports up to 99 percent accuracy in ...

A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots ...

A new multimodal AI framework called MEGH-DDI combines chemical language models with graph neural networks to predict drug–drug interactions with ...

Researchers have unveiled MassNet, a corpus of 1.5 billion mass spectra across 35 species, and a new transformer model that ...

A new mask-aware transformer architecture that explicitly tracks missing macroeconomic data outperformed statistical, recurrent, and modern forecasting benchmarks in fixed-origin ...

A Transformer deep learning model predicts cancer cell fates directly from live-cell videos with high accuracy up to eight hours ...

A new framework combining policy gradient adversarial networks with MMD-guided sample transfer lifts machine translation BLEU scores to 39.5 and ...

A new encoder–decoder transformer with waveform-level data augmentation achieves 100 percent accuracy on German emotional speech and 94 percent on ...