Background: The study of disease progression relies on clinical data, including text data, and extracting valuable features from text data has been a research hot spot. With the rise of large language ...

Abstract: Unsupervised change detection (CD) in synthetic aperture radar (SAR) imagery is pivotal for terrestrial observations, more so for disaster-related applications. However, most existing deep ...

How to craft a narrative that matters by Frances X. Frei and Anne Morriss Let’s say you’re a leader with an urgent organizational problem—anything from a broken culture to a product that no longer ...

Abstract: Medical notes contains a vast amount of healthcare information. NLP techniques are essential for extracting the most relevant insights from abundance data, enabling healthcare professionals ...