Natural hazards, which have the potential to cause catastrophic damage and loss to
infrastructure, have increased significantly in recent decades. Thus, the construction …

The studies on relationships between non-coding RNAs and diseases are widely carried out
in recent years. A large number of experimental methods and technologies of producing …

MOOCs have attracted hundreds of millions of learners with advantages such as being cost-
free and having flexible time and space. However, high dropout rates have become the main …

Abstract Background Diabetes Mellitus (DM) has become the third chronic non-
communicable disease that hits patients after tumors, cardiovascular and cerebrovascular …

This work proposed a novel method for automatic sleep stage classification based on the
time, frequency, and fractional Fourier transform (FRFT) domain features extracted from a …

Remote sensing image change detection remains a challenging task. Most existing
approaches are based on fully supervised learning, but labeled data are so scarce for …

N6, 2′-O-dimethyladenosine (m6Am) is a post-transcriptional modification that may be
associated with regulatory roles in the control of cellular functions. Therefore, it is crucial to …

Purpose To develop and validate machine learning (ML) models for cancer-associated deep
vein thrombosis (DVT) and to compare the performance of these models with the Khorana …