'Data' plays a central role in data-driven methods, but is not often the...
In this paper, we investigate phase retrieval algorithm for the single
p...
The Electron-Ion Collider (EIC) is a cutting-edge accelerator facility t...
An accurate covariance matrix is essential for obtaining reliable
cosmol...
Liposomes that achieve a heterogeneous and spatially organized surface
t...
In this paper, we develop a framework to construct energy-preserving met...
In this paper, we present a multiscale framework for solving the Helmhol...
Hyperbolic geometry has been successfully applied in modeling brain cort...
Neuroscience has shown great progress in recent years. Several of the
th...
Purpose: To use a deep neural network (DNN) for solving the optimization...
Motor is the most widely used production equipment in industrial field. ...
The timing system focuses on synchronizing and coordinating each subsyst...
With the rapid development of social media sharing, people often need to...
Principal component analysis (PCA) is a statistical technique commonly u...