BACKGROUND: Genotypic differences in nitrogen use efficiency strongly influence sorghum growth and yield, highlighting the need for precise and reliable prediction of cultivar responses to nitrogen (N) availability. This study investigates the impact... read more
Socioeconomic status (SES) has been linked to brain-based markers, but most studies rely on conventional statistical methods that overlook the complexity and inherent multicollinearity of the brain. We trained elastic net models to predict SES from m... read more
Accurate blood glucose level (BGL) forecasting is critical for diabetes self-management and clinical decision-making. Although deep learning models based on continuous glucose monitoring (CGM) data have achieved encouraging results, most approaches r... read more
Computer vision-aided small target detection in moving streams, such as rivers/ roads, requires a fast-converging outcome as the frame requirements are high. The bounding box varies for the multiple frames generated, resulting in low object detection... read more
The prediction of hospital length of stay (LOS) is of great significance for hospitals to rationally allocate medical resources and provide timely treatment for patients, especially for acute coronary syndromes (ACS), which requires prompt medical in... read more
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