Zobrazeno 1 - 10
of 416
pro vyhledávání: '"Zhang Zirui"'
Autor:
Zhang, Zirui, Hao, Wei, Sankoh, Aroon, Lin, William, Mendiola-Ortiz, Emanuel, Yang, Junfeng, Mao, Chengzhi
Recent advances in AI-generated voices have intensified the challenge of detecting deepfake audio, posing risks for scams and the spread of disinformation. To tackle this issue, we establish the largest public voice dataset to date, named DeepFakeVox
Externí odkaz:
http://arxiv.org/abs/2411.00121
Autor:
Zhang, Ronghui, Zou, Runzong, Zhao, Yue, Zhang, Zirui, Chen, Junzhou, Cao, Yue, Hu, Chuan, Song, Houbing
Attention mechanisms, particularly channel attention, have become highly influential in numerous computer vision tasks. Despite their effectiveness, many existing methods primarily focus on optimizing performance through complex attention modules app
Externí odkaz:
http://arxiv.org/abs/2410.07860
Autor:
Chen, Junzhou, Zhang, Zirui, Yu, Jing, Huang, Heqiang, Zhang, Ronghui, Xu, Xuemiao, Sheng, Bin, Yan, Hong
Driver distraction remains a leading cause of traffic accidents, posing a critical threat to road safety globally. As intelligent transportation systems evolve, accurate and real-time identification of driver distraction has become essential. However
Externí odkaz:
http://arxiv.org/abs/2409.05587
In our previous study, we introduced a machine-learning technique, namely CMBFSCNN, for the removal of foreground contamination in cosmic microwave background (CMB) polarization data. This method was successfully employed on actual observational data
Externí odkaz:
http://arxiv.org/abs/2406.17685
Autor:
Zhang Zirui, Li Zixuan
Publikováno v:
SHS Web of Conferences, Vol 144, p 03010 (2022)
Breast cancer is the most common malignant tumor found in women, and there is no cure for advanced breast cancer. Early detection and treatment can effectively improve patient survival. This paper uses five machine learning classification models, nam
Externí odkaz:
https://doaj.org/article/88602b7eee6c468fbc8d316040898cc1
Publikováno v:
JCAP04(2024)019
In this work, we investigate the optimal map-making technique for the linear system $d=Ax+n$ while carefully taking into account singularities that may come from either the covariance matrix $C = \langle nn^t \rangle$ or the main matrix $A$. We first
Externí odkaz:
http://arxiv.org/abs/2309.11090
Publikováno v:
JCAP04 (2024) 014
The Internal Linear Combination (ILC) method is commonly employed to extract the cosmic microwave background (CMB) signal from multi-frequency observation maps. However, the performance of the ILC method tends to degrade when the signal-to-noise rati
Externí odkaz:
http://arxiv.org/abs/2309.08170
Autor:
Zhang, Zi-Xuan, Wang, Yi-Ming, Cang, Junsong, Zhang, Zirui, Liu, Yang, Li, Si-Yu, Gao, Yu, Li, Hong
Publikováno v:
JCAP 10, 002(2023)
The energy injected from dark matter annihilation and decay processes potentially raises the ionisation of the intergalactic medium and leaves visible footprints on the anisotropy maps of the cosmic microwave background (CMB). Galactic foregrounds em
Externí odkaz:
http://arxiv.org/abs/2304.07793
The atmosphere is one of the most important contamination sources in the ground-based Cosmic Microwave Background (CMB) observations. In this paper, we study three kinds of filters, which are polynomial filter, high-pass filter, and Wiener filter, to
Externí odkaz:
http://arxiv.org/abs/2210.09711
Coarse-grained modeling and efficient computer simulations are critical to the study of complex molecular processes with many degrees of freedom and multiple spatiotemporal scales. Variational implicit-solvent model (VISM) for biomolecular solvation
Externí odkaz:
http://arxiv.org/abs/2208.05524