Abstract: High-precision cloud detection is crucial for the interpretation of remote sensing images. Although deep learning-based methods have achieved remarkable results, challenges remain in the ...

Abstract: Semantic segmentation of remote sensing images has produced a significant effect on many applications, such as land cover, land use, and smoke detection. With the ever-growing remote sensing ...

Healthcare organizations use collaboration hardware and software for essential activities such as telehealth, telework tasks and virtual nursing. The COVID-19 pandemic changed how people collaborate ...

Objective: The aim of this study is to develop and validate a stroke diagnosis and prediction tool using ChatGLM-6B, which uses free-text information from electronic health records in conjunction with ...