Safe Reinforcement Learning (RL) aims to find a policy that achieves hig...
In unmanned aerial vehicle (UAV) networks, high-capacity data transmissi...
Text selection is a common and essential activity during text interactio...
In many vision and robotics applications, it is common that the captured...
Non-convex relaxation methods have been widely used in tensor recovery
p...
Exploratory factor analysis (EFA) has been widely used to learn the late...
The complementary fusion of light detection and ranging (LiDAR) data and...
Motivated by their recent advances, deep learning techniques have been w...
Tensor recovery is an important problem in computer vision and machine
l...
Emergency vehicles in service have right-of-way over all other vehicles....
Tensor sparse modeling as a promising approach, in the whole of science ...
Physics-informed neural networks (PINNs) show great advantages in solvin...
More recently, an Approximate SVD Based on Qatar Riyal (QR) Decompositio...
Location fingerprint (LF) has been widely applied in indoor positioning....
Computer-aided diagnosis establishes methods for robust assessment of me...
This study compares the effectiveness and robustness of multi-class
cate...
With the development of MOOCs massive open online courses, increasingly ...
Matrix factorization was used to generate investment recommendations for...