Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Abstract: The attention-based encoder-decoder (AED) speech recognition model has been widely successful in recent years. However, the joint optimization of acoustic model and language model in ...

A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants ...

Trias is an encoder-decoder language model trained to reverse-translate protein sequences into codon sequences. It learns codon usage patterns from 10 million mRNA coding sequences across 640 ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

This is a simple Digipin encoder and decoder app made with flutter, this uses the Digipin package to encode and decode it ...

aElse Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany bDepartment of Medicine I, Faculty ...

Abstract: Among various multimodal remote sensing data, the pairing of multispectral (MS) and panchromatic (PAN) images is widely used in remote sensing applications. This article proposes a novel ...