Abstract: The paper presents an approach for machine translation of standardized medical terminology using a large pretrained language model. Manual translation of these terms currently requires a lot ...

Abstract: In the pursuit of achieving unparalleled precision in position estimation, this study explores the capabilities of advanced deep learning architectures applied to dual-frequency Global ...