Multi-modality image fusion and segmentation play a vital role in autono...
Causal inference is indispensable in many fields of empirical research, ...
It is of great importance to investigate the significance of a subset of...
Regression models are studied in survey data and are widely used to cons...
This study addresses the issue of fusing infrared and visible images tha...
With the recent success of dense retrieval methods based on bi-encoders,...
Motivated by investigating the relationship between progesterone and the...
Directed acyclic graph (DAG) models are widely used to represent causal
...
In our latest studies, by introducing the novel order-preserving (OP)
cr...
Most of the existing mapped WENO schemes suffer from either losing high
...
A serious and ubiquitous issue in existing mapped WENO schemes is that m...
Existing mapped WENO schemes can hardly prevent spurious oscillations wh...
We present a novel mapping approach for WENO schemes through the use of ...
We propose several adaptive control functions and a smoothing approximat...
The Multi-Kink Quantile Regression (MKQR) model is an important tool for...
VLSI mask optimization is one of the most critical stages in
manufactura...
Query Auto Completion (QAC) is among the most appealing features of a we...
Motivated by the importance of measuring the association between the res...