In this paper, we present a small cow stall number dataset named
CowStal...
Lung cancer has emerged as a severe disease that threatens human life an...
Audio denoising has been explored for decades using both traditional and...
Since ancient times, what Chinese people have been pursuing is very simp...
While huge volumes of unlabeled data are generated and made available in...
Unsupervised domain adaptation leverages rich information from a labeled...
Transmission electron microscopy (TEM) is one of the primary tools to sh...
Domain adaptation aims to mitigate the domain gap when transferring know...
Domain adaptation aims to mitigate the domain shift problem when transfe...
Unsupervised Domain adaptation is an effective method in addressing the
...
Domain adaptation (DA) mitigates the domain shift problem when transferr...
Estimation of bone age from hand radiographs is essential to determine
s...
Domain adaptation is one of the most crucial techniques to mitigate the
...
Deep neural networks are widely used in image classification problems.
H...
Dimensionality reduction on Riemannian manifolds is challenging due to t...
Dimensionality reduction on Riemannian manifolds is challenging due to t...
The Corticospinal Tract (CST) is a part of pyramidal tract (PT), and it ...
Deep neural networks have been widely used in computer vision. There are...
This paper deals with the problem of the electricity consumption forecas...
Background: Instagram, with millions of posts per day, can be used to in...
Electricity consumption forecasting has important implications for the
m...