Zobrazeno 1 - 10
of 16 353
pro vyhledávání: '"zhu, Yu"'
In the regime of Rydberg electromagnetically induced transparency, we study the correlated behaviors between the transmission spectra of a pair of probe fields passing through respective parallel one-dimensional cold Rydberg ensembles. Due to the van
Externí odkaz:
http://arxiv.org/abs/2411.07726
We demonstrate a spatial hypergraph model that allows us to vary the amount of higher-order structure in the generated hypergraph. Specifically, we can vary from a model that is a pure pairwise graph into a model that is almost a pure hypergraph. We
Externí odkaz:
http://arxiv.org/abs/2410.12688
Autor:
Zhu, Yu, Li, Zehang Richard
Monitoring data on causes of death is an important part of understanding the burden of diseases and effects of public health interventions. Verbal autopsy (VA) is a well-established method for gathering information about deaths outside of hospitals b
Externí odkaz:
http://arxiv.org/abs/2410.09274
Autor:
Zhang, Yong-Kun, Li, Di, Feng, Yi, Tsai, Chao-Wei, Wang, Pei, Niu, Chen-Hui, Chen, Hua-Xi, Zhu, Yu-Hao
The detection of fast radio bursts (FRBs) in radio astronomy is a complex task due to the challenges posed by radio frequency interference (RFI) and signal dispersion in the interstellar medium. Traditional search algorithms are often inefficient, ti
Externí odkaz:
http://arxiv.org/abs/2410.03200
Existing unified methods typically treat multi-degradation image restoration as a multi-task learning problem. Despite performing effectively compared to single degradation restoration methods, they overlook the utilization of commonalities and speci
Externí odkaz:
http://arxiv.org/abs/2409.20197
Data preprocessing pipelines, which includes data decoding, cleaning, and transforming, are a crucial component of Machine Learning (ML) training. Thy are computationally intensive and often become a major bottleneck, due to the increasing performanc
Externí odkaz:
http://arxiv.org/abs/2409.14912
Autor:
Yang, Ai Yuan, Feng, Yi, Tsai, Chao-Wei, Li, Di, Shi, Hui, Wang, Pei, Yang, Yuan-Pei, Zhang, Yong-Kun, Niu, Chen-Hui, Yao, Ju-Mei, Cui, Yu-Zhu, Su, Ren-Zhi, Li, Xiao-Feng, Zhang, Jun-Shuo, Zhu, Yu-Hao, Cotton, W. D.
Over 700 bright millisecond-duration radio transients, known as Fast Radio Bursts (FRBs), have been identified to date. Nevertheless, the origin of FRBs remains unknown. The two repeating FRBs (FRB 20121102A and FRB 20190520B) have been verified to b
Externí odkaz:
http://arxiv.org/abs/2409.13170
The spin filtering effect, distinct decaying lengths experienced by oppositely spin-polarized electrons in a magnetic barrier, generally occurs in ferromagnetic (FM) insulators or semiconductors. With the rise of altermagnetic (ALM) materials which e
Externí odkaz:
http://arxiv.org/abs/2409.03415
Intelligent reflecting surfaces (IRSs) have been regarded as a promising enabler for future wireless communication systems. In the literature, IRSs have been considered power-free or assumed to have constant power consumption. However, recent experim
Externí odkaz:
http://arxiv.org/abs/2408.01702
Autor:
Turishcheva, Polina, Fahey, Paul G., Vystrčilová, Michaela, Hansel, Laura, Froebe, Rachel, Ponder, Kayla, Qiu, Yongrong, Willeke, Konstantin F., Bashiri, Mohammad, Baikulov, Ruslan, Zhu, Yu, Ma, Lei, Yu, Shan, Huang, Tiejun, Li, Bryan M., De Wulf, Wolf, Kudryashova, Nina, Hennig, Matthias H., Rochefort, Nathalie L., Onken, Arno, Wang, Eric, Ding, Zhiwei, Tolias, Andreas S., Sinz, Fabian H., Ecker, Alexander S
Understanding how biological visual systems process information is challenging because of the nonlinear relationship between visual input and neuronal responses. Artificial neural networks allow computational neuroscientists to create predictive mode
Externí odkaz:
http://arxiv.org/abs/2407.09100