Abstract: Transformer-based neural machine translation (NMT) systems have achieved remarkable success with high-resource bilingual corpora. However, their performance deteriorates significantly in low ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Abstract: Deep learning algorithms have become a trending approach for transformer fault diagnosis. However, challenges such as data imbalance leading to poor model learning performance and ...