Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Zhang, Liangqi"'
Autor:
Wang, Xiaoshuang, Tan, Liwei, Ying, Wenjun, Wang, Enhao, Xiao, Yao, Zhang, Liangqi, Zeng, Zhong
We present a Pressure-Oscillation-Free projection algorithm for large-density-ratio multiphase fluid-structure interaction simulations, implemented on a non-staggered Cartesian grid. The incompressible Navier-Stokes is decoupled with an improved five
Externí odkaz:
http://arxiv.org/abs/2404.14656
Neuromorphic vision sensors (event cameras) simulate biological visual perception systems and have the advantages of high temporal resolution, less data redundancy, low power consumption, and large dynamic range. Since both events and spikes are mode
Externí odkaz:
http://arxiv.org/abs/2303.07609
Convolutional neural networks (CNNs) have achieved superior performance but still lack clarity about the nature and properties of feature extraction. In this paper, by analyzing the sensitivity of neural networks to frequencies and scales, we find th
Externí odkaz:
http://arxiv.org/abs/2302.12477
Spray detonation in n-heptane two-phase mixtures is simulated using Eulerian Lagrangian method. Two-dimensional configuration is considered, and the effects of droplet diameter and liquid equivalence ratio on detonation propagation, structure, and dy
Externí odkaz:
http://arxiv.org/abs/2209.11913
As the third generation of neural networks, spiking neural networks (SNNs) are dedicated to exploring more insightful neural mechanisms to achieve near-biological intelligence. Intuitively, biomimetic mechanisms are crucial to understanding and impro
Externí odkaz:
http://arxiv.org/abs/2207.11670
Neuromorphic vision sensors (event cameras) are inherently suitable for spiking neural networks (SNNs) and provide novel neuromorphic vision data for this biomimetic model. Due to the spatiotemporal characteristics, novel data augmentations are requi
Externí odkaz:
http://arxiv.org/abs/2207.11659
Autor:
Zhang, Liangqi, Shen, Haibo, Luo, Yihao, Cao, Xiang, Pan, Leixilan, Wang, Tianjiang, Feng, Qi
Modern efficient Convolutional Neural Networks(CNNs) always use Depthwise Separable Convolutions(DSCs) and Neural Architecture Search(NAS) to reduce the number of parameters and the computational complexity. But some inherent characteristics of netwo
Externí odkaz:
http://arxiv.org/abs/2207.10318
Autor:
Chen, Hao, Zhang, Liangqi, Ding, Chuanguang, Luo, Yuqi, Jia, Guoyun, Feng, Junming, Wang, Yuqi, Si, Binfan, Zhou, Jianian, Li, Xin, Huang, Kebing, Yang, Suizhuang, Ren, Yong, Chen, Xianming, Zhang, Pingping, Zhou, Xinli
Publikováno v:
In Crop Protection October 2024 184
Publikováno v:
In International Journal of Heat and Mass Transfer 15 August 2024 228
Publikováno v:
In International Journal of Multiphase Flow December 2024 181