Zobrazeno 1 - 10
of 1 717
pro vyhledávání: '"HUANG Yifan"'
Publikováno v:
电力工程技术, Vol 43, Iss 1, Pp 201-211 (2024)
DC contactor is one of the most widely configured switching appliances in new energy systems and electric vehicles. The dynamic characteristic of DC contactor is one of the important indexes to measure the performance of DC contactor. A dynamic model
Externí odkaz:
https://doaj.org/article/6ade9d5f98d74624967a3312e1bd8e66
Recent advances in spiking neural networks (SNNs) have a predominant focus on network architectures, while relatively little attention has been paid to the underlying neuron model. The point neuron models, a cornerstone of deep SNNs, pose a bottlenec
Externí odkaz:
http://arxiv.org/abs/2412.06355
Spiking Neural Networks (SNNs) are considered to have enormous potential in the future development of Artificial Intelligence (AI) due to their brain-inspired and energy-efficient properties. In the current supervised learning domain of SNNs, compare
Externí odkaz:
http://arxiv.org/abs/2410.07547
Autor:
Niu Xinxiang, Hu Xiaoyong, Yan Qiuchen, Zhu Jiankun, Cheng Haotian, Huang Yifan, Lu Cuicui, Fu Yulan, Gong Qihuang
Publikováno v:
Nanophotonics, Vol 8, Iss 7, Pp 1125-1149 (2019)
On-chip plasmon-induced transparency (PIT) possessing the unique properties of controlling light propagation states is a promising way to on-chip ultrafast optical connection networks as well as integrated optical processing chips. On-chip PIT has at
Externí odkaz:
https://doaj.org/article/caf03ee30cee40738be757b3a1351f6c
Autor:
Chen, Yifei, Zou, Binfeng, Guo, Zhaoxin, Huang, Yiyu, Huang, Yifan, Qin, Feiwei, Li, Qinhai, Wang, Changmiao
Publikováno v:
WACV 2024
Pulmonary embolism (PE) is a prevalent lung disease that can lead to right ventricular hypertrophy and failure in severe cases, ranking second in severity only to myocardial infarction and sudden death. Pulmonary artery CT angiography (CTPA) is a wid
Externí odkaz:
http://arxiv.org/abs/2312.14705
Autor:
Huang Yifan, Zhou Wenxing
Publikováno v:
Archive of Mechanical Engineering, Vol 63, Iss 4, Pp 635-645 (2016)
Three-dimensional (3D) finite element analyses (FEA) are performed to simulate the local compression (LC) technique on the clamped single-edge notched tension (SE(T)) specimens. The analysis includes three types of indenters, which are single pair of
Externí odkaz:
https://doaj.org/article/01fac5ac15a04c009c0180f6160932f8
Despite consistent advancement in powerful deep learning techniques in recent years, large amounts of training data are still necessary for the models to avoid overfitting. Synthetic datasets using generative adversarial networks (GAN) have recently
Externí odkaz:
http://arxiv.org/abs/2303.15161
Healthcare cost prediction is a challenging task due to the high-dimensionality and high correlation among covariates. Additionally, the skewed, heavy-tailed, and often multi-modal nature of cost data can complicate matters further due to unobserved
Externí odkaz:
http://arxiv.org/abs/2303.05793
Publikováno v:
36th Conference on Neural Information Processing Systems (NeurIPS) 2022 Temporal Graph Learning Workshop
Temporal exponential random graph models (TERGM) are powerful statistical models that can be used to infer the temporal pattern of edge formation and elimination in complex networks (e.g., social networks). TERGMs can also be used in a generative cap
Externí odkaz:
http://arxiv.org/abs/2211.16229
Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block
Recently, massive architectures based on Convolutional Neural Network (CNN) and self-attention mechanisms have become necessary for audio classification. While these techniques are state-of-the-art, these works' effectiveness can only be guaranteed w
Externí odkaz:
http://arxiv.org/abs/2211.02940