Tag: Transformer

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 ...

Researchers in China have developed a lightweight transformer model with a novel cross-axis attention module and a feature memory component ...

A new multi-task deep learning framework called ApexTransNet segments apical periodontitis lesions and grades radiographic severity on periapical radiographs with ...