While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Abstract: The generation of traditional ophthalmic ultrasound examination reports primarily relies on clinicians manually entering information during procedures. This process is not only inefficient ...
Every piece of land carries a story of development, transformation, and human impact. From expanding urban centers to shifting agricultural zones, land use plays a crucial role in shaping both local ...
The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics. By Kenneth Chang and Irena Hwang Kenneth ...
The underwater environment is more complex than that on land, resulting in severe static and dynamic blurring in underwater images, reducing the recognition accuracy of underwater targets and failing ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
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