Background: Masked hypertension (MHT) is defined as high out-of-office blood pressure (BP) despite non-high office BP and is associated with incident cardiovascular disease (CVD). The 2017 ACC/AHA ...

Under the influence of Masked Language Modeling (MLM), Masked Image Modeling (MIM) employs an attention mechanism to perform masked training on images. However, processing a single image requires ...

Learn how masked self-attention works by building it step by step in Python—a clear and practical introduction to a core concept in transformers. Tropical Storm Melissa update as "catastrophic" ...

Abstract: By leveraging the advantages of deep learning, semantic communication (SemCom) has a superior spectral efficiency. However, the existing SemCom systems are limited by fixed-length encoding ...

We introduce MAESTRO, a tailored adaptation of the Masked Autoencoder (MAE) framework that effectively orchestrates the use of multimodal, multitemporal, and multispectral Earth Observation (EO) data.

Abstract: Vigilance estimation is a critical task within the field of brain–computer interfaces, extensively applied in monitoring and optimizing user states during human–machine interaction using ...

SANTA BARBARA COUNTY, Calif. – The press release below, in English and Spanish, from Direct Relief details free N95 mask distribution sites as the largest wildfire this year in California continues to ...

Introduction: Thyroid nodule segmentation in ultrasound (US) images is a valuable yet challenging task, playing a critical role in diagnosing thyroid cancer. The difficulty arises from factors such as ...