A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Pulmonary embolism (PE) is a common and potentially life-threatening condition with presentations ranging from mild symptoms to circulatory collapse. Early and accurate risk stratification is ...
ABSTRACT: Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of ...
Abstract: Tire-road friction coefficient information is an essential factor in the driving stability and safety of a vehicle. In recent years, there has been a lot of research on using the vibration ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results