Transfer learning has been proven to be effective for the problems where training data from
a source domain and test data from a target domain are drawn from different distributions. To …

Graph Neural Networks (GNNs) have become powerful tools in modeling graph-structured
data in recommender systems. However, real-life recommendation scenarios usually involve …

Coronavirus disease 2019 (COVID‐19) is a global pandemic caused by severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). The models that can accurately resemble …

In regression analysis, we employ contour projection (CP) to develop a new dimension
reduction theory. Accordingly, we introduce the notions of the central contour subspace and …

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), has become a global pandemic. Clinical evidence suggests that the …

COVID-19, caused by SARS-CoV-2, is an acute and rapidly developing pandemic, which
leads to a global health crisis. SARS-CoV-2 primarily attacks human alveoli and causes severe …

Objective: This study was designed to determine the optimal time point for bone marrow
mesenchymal stem cell (MSC) transplantation after myocardial infarction (MI). Methods: MSCs …

Affordances capture the relationships between a robot and the environment in terms of the
actions that the robot is able to perform. The notable characteristic of affordance-based …

Due to the interdisciplinary nature of robotics, more and more attention has been paid to its
effectiveness in the field of education in recent years. This systematic review evaluated …

Braking energy recovery technology, which is widely used in new energy vehicles, can extend
the endurance range and reduce the wear of hydraulic braking system. However, due to …