End-to-end (E2E) models, including the attention-based encoder-decoder (AED) models, have achieved promising performance on the automatic speech recognition (ASR) task. However, the supervised ...

We pretrain the transformer encoder–decoder model jointly with the hierarchical contrastive learning loss and the product-to-reactants generation loss, hence bridging the gap between ...

DNV has released a new version of its KFX computational fluid dynamics (CFD) simulation software, which it says will ‘enable safer and more effective implementation of key low-carbon solutions’. In a ...

Catalytic epoxidations are key chemical processes serving as essential steps in the synthesis of commercially valuable compounds. This study presents an innovative supervised machine learning (ML) ...

Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting Abstract: Accurate time series forecasting is critical in a variety of fields, including transportation, weather ...