Tag: Transformer

A multi-seed walk-forward study finds that MLP, CNN, LSTM and Transformer encoders in a PPO framework show no reliable Sharpe-ratio ...

A new framework called TransDualKGR improves multi-hop reasoning on knowledge graphs by using a Transformer-based dynamic representation and a dual-agent ...

Researchers have developed FedTrans-KIE, a federated Transformer framework that extracts power marketing entities and operational events at the network edge ...

Researchers have unveiled HybridMI-EEG, a hybrid self-supervised framework that combines masked reconstruction with mutual information upper-bound constraints to improve EEG-based ...

A synthetic-benchmark study reports a reliability-aware fusion transformer and BiLSTM that reached 87.0% accuracy on eight volleyball actions while a ...

A segment-conditioned Flexible-K Mixture of Experts model lets expert participation vary across timesteps and achieves low RMSE on the C-MAPSS ...

Researchers have developed DynamicFusionNet, a decoder that adaptively fuses features across layers, scales and views to improve medical image segmentation ...

A new UAV-based framework detects semantic changes in rice fields, distinguishing disease and lodging transitions from paired drone images using ...

A new hybrid CNN-Transformer model called AGDE-Net accurately segments tumor cores and peritumoral edema in adult glioma MRI while keeping ...

A hybrid TransUNet–DenseNet121 deep learning framework classifies brain tumors from MRI scans with reported accuracies up to 99.56 percent while ...