Goldman Sachs is upgraded to BUY, with 10% total return potential and exceptional momentum following a strategic pivot. GS's ...
Abstract: Social networks are complex and dynamic data structures whose analysis holds significant importance. Among various tasks, link prediction stands out as a fundamental aspect of social network ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
The correlation between Arctic wildfires and abnormal snow cover under global warming is of growing concern. A comprehensive ...
The inversion of the one-dimensional wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely Random Forest (RF), eXtreme Gradient ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Background: The high mortality in ST-segment elevation myocardial infarction (STEMI) is associated not only with organ dysfunction and complications, but also with nutritional status. We aim to ...
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Frequent Arctic wildfires could cut snow cover by 18 days, impacting global climate and ecology
The correlation between Arctic wildfires and abnormal snow cover under global warming is of growing concern. A comprehensive quantitative assessment by researchers at The Hong Kong Polytechnic ...
Constrained by the overcurrent capacity of semiconductor components, grid-forming (GFM) converters need to switch from constant-voltage control (CVC) mode to current-limiting control (CLC) mode during ...
A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.
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