Zobrazeno 1 - 10
of 1 015
pro vyhledávání: '"Hao Zhen"'
Space-based gravitational wave observatories, such as LISA, Taiji, and TianQin, employ long-baseline laser interferometry, necessitating displacement measurement sensitivity at 1 pm/$\sqrt{Hz}$ level. A significant challenge in achieving this precisi
Externí odkaz:
http://arxiv.org/abs/2410.22914
We prove the low Mach number limit from compressible Navier-Stokes-Fourier system with the general pressure law around a constant state on the torus $\mathbb{T}^N_a$. We view this limit as a special case of the weakly nonlinear-dissipative approximat
Externí odkaz:
http://arxiv.org/abs/2406.12642
Classical data with graph structure always exists when dealing with many real-world problems. In parallel, quantum data with graph structure also need to be investigated since they are always produced by common quantum data sources.In this paper, we
Externí odkaz:
http://arxiv.org/abs/2401.15665
Publikováno v:
Pan African Medical Journal. Jan-Apr2024, Vol. 47, p1-6. 6p.
Autor:
Hao, Zhen-Xiang, Haase, Tim, Jin, Hong-Bo, Tao, Ya-Zheng, Wanner, Gudrun, Wu, Ruo-Xi, Wu, Yue-Liang
Motivated by the necessity of a high-quality stray light control in the detection of the gravitational waves in space, the spot size of a flat top beam generated by the clipping of the Gaussian beam (GB) is studied. By adopting the mode expansion met
Externí odkaz:
http://arxiv.org/abs/2210.00509
Autor:
Yin, Zhixiang, Wu, Penghai, Li, Xinyan, Hao, Zhen, Ma, Xiaoshuang, Fan, Ruirui, Liu, Chun, Ling, Feng
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation November 2024 134
Publikováno v:
In Agricultural Water Management 1 October 2024 303
Publikováno v:
Information, Vol 15, Iss 10, p 654 (2024)
Traffic sensors are vital to the development and operation of Intelligent Transportation Systems, providing essential data for traffic monitoring, management, and transportation infrastructure planning. However, optimizing the placement of these sens
Externí odkaz:
https://doaj.org/article/7da66a498e0943b6bd701d3962e6660e
Publikováno v:
Computers, Vol 13, Iss 9, p 232 (2024)
Harnessing the power of Large Language Models (LLMs), this study explores the use of three state-of-the-art LLMs, specifically GPT-3.5-turbo, LLaMA3-8B, and LLaMA3-70B, for crash severity analysis and inference, framing it as a classification task. W
Externí odkaz:
https://doaj.org/article/66eb844c5f9644ca87b7bce21f0d513a
Autor:
Hao, Zhen, Cai, Xiaobin, Ge, Yong, Foody, Giles, Li, Xinyan, Yin, Zhixiang, Du, Yun, Ling, Feng
Publikováno v:
In Journal of Hydrology August 2024 640