Zobrazeno 1 - 10
of 2 543
pro vyhledávání: '"Xie, Xiang"'
Unsupervised Anomalous Sound Detection (ASD) aims to design a generalizable method that can be used to detect anomalies when only normal sounds are given. In this paper, Anomalous Sound Detection based on Diffusion Models (ASD-Diffusion) is proposed
Externí odkaz:
http://arxiv.org/abs/2409.15957
As the simplest atom in nature, the hydrogen atom has been explored thoroughly from the perspective of non-relativistic quantum mechanics to relativistic quantum mechanics. Among the research on hydrogen atom, its energy level is the most basic, whic
Externí odkaz:
http://arxiv.org/abs/2404.11437
Autor:
Wang, Ruo-Chen, Li, Zhuo-Chen, Fan, Xing-Yan, Xie, Xiang-Ru, Wei, Hong-Hao, Oh, Choo Hiap, Chen, Jing-Ling
In quantum information, the Werner state is a benchmark to test the boundary between quantum mechanics and classical models. There have been three well-known critical values for the two-qubit Werner state, i.e., $V_{\rm c}^{\rm E}=1/3$ characterizing
Externí odkaz:
http://arxiv.org/abs/2404.04048
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 69(1): 224-228
This paper proposed LightSleepNet - a light-weight, 1-d Convolutional Neural Network (CNN) based personalized architecture for real-time sleep staging, which can be implemented on various mobile platforms with limited hardware resources. The proposed
Externí odkaz:
http://arxiv.org/abs/2401.13194
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(11): 4608-4612
This paper proposed a Multi-Channel Multi-Domain (MCMD) based knowledge distillation algorithm for sleep staging using single-channel EEG. Both knowledge from different domains and different channels are learnt in the proposed algorithm, simultaneous
Externí odkaz:
http://arxiv.org/abs/2401.03430
Publikováno v:
Knowledge-Based Systems, 2024, 283: 111127
Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insuf
Externí odkaz:
http://arxiv.org/abs/2309.02742
Publikováno v:
Results in Physics 56 107300 (2024)
As one of the most elegant theories in physics, Yang-Mills (YM) theory not only incorporates Maxwell's equations unifying electromagnetism, but also underpins the standard model explaining the electroweak and strong interactions in a succinct way. Wh
Externí odkaz:
http://arxiv.org/abs/2304.12625
The Aharonov-Bohm (AB) effect is an important discovery of quantum theory. It serves as a surprising quantum phenomenon in which an electrically charged particle can be affected by an electromagnetic potential, despite being confined to a region in w
Externí odkaz:
http://arxiv.org/abs/2211.07178
Publikováno v:
In Sustainable Cities and Society 1 October 2024 112
Publikováno v:
In Aerospace Science and Technology September 2024 152