Results 51 to 60 of about 7,409 (173)
An Iris Image Super-Resolution Model Based on Swin Transformer and Generative Adversarial Network
The process of iris recognition can result in a decline in recognition performance when the resolution of the iris images is insufficient. In this study, a super-resolution model for iris images, namely SwinGIris, which combines the Swin Transformer and ...
Hexin Lu +3 more
doaj +1 more source
Pure pursuit algorithm is one of the most effective ways of path tracking in autonomous vehicles. Nevertheless, the tracking accuracy of the existing pure pursuit algorithm is limited by the look-ahead distance.
Rui Wang +4 more
doaj +1 more source
Symbolic computation with monotone operators [PDF]
The Fenchel conjugate , f * , and the subdifferential , ∂ f , of a function f are two objects of fundamental importance in convex analysis.
Lauster, Florian +2 more
openaire +4 more sources
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
DANet: Temporal Action Localization with Double Attention
Temporal action localization (TAL) aims to predict action instance categories in videos and identify their start and end times. However, existing Transformer-based backbones focus only on global or local features, resulting in the loss of information. In
Jianing Sun +7 more
doaj +1 more source
A Novel Simplification Method for 3D Geometric Point Cloud Based on the Importance of Point
3D point cloud simplification is an important pretreatment in surface reconstruction for sparing computer resources and improving reconstruction speed. However, existing methods often sacrifice the simplification precision to improve the simplification ...
Chunyang Ji +3 more
doaj +1 more source
Cancer Research Trend Analysis Based on Fusion Feature Representation
Machine learning models can automatically discover biomedical research trends and promote the dissemination of information and knowledge. Text feature representation is a critical and challenging task in natural language processing.
Jingqiao Wu +3 more
doaj +1 more source
We calculate the two-mass three-loop contributions to the unpolarized and polarized massive operator matrix elements $${\widetilde{A}}_{Qg}^{(3)}$$ and $${\Delta \widetilde{A}}_{Qg}^{(3)}$$ in x-space for a general mass ratio by using a semi-analytic ...
J. Ablinger +5 more
doaj +1 more source
Although there have been many successful multiclassification models in the field of image recognition in recent years, adding new classes to the trained models remains a research focus.
Yaosong Cheng +3 more
doaj +1 more source
Geometric Information and Rational Parametrization of Nonsingular Cubic Blending Surfaces
The techniques for parametrizing nonsingular cubic surfaces have shown to be of great interest in recent years. This paper is devoted to the rational parametrization of nonsingular cubic blending surfaces.
Minghao Guo, Tieru Wu, Shugong Zhang
doaj +1 more source

