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pro vyhledávání: '"Li, Zhihui"'
Autor:
Li, Zhihui
The circumgalactic medium (CGM), namely the gaseous matter beyond the stars and interstellar medium of a galaxy and within the virial radius of its dark matter halo, plays a pivotal role in governing crucial aspects of galaxy evolution. This thesis f
Autor:
Tang, Mengtao, Stark, Daniel P., Ellis, Richard S., Topping, Michael W., Mason, Charlotte, Li, Zhihui, Plat, Adèle
JWST observations have recently begun delivering the first samples of Ly$\alpha$ velocity profile measurements at $z>6$, opening a new window on the reionization process. Interpretation of $z\gtrsim6$ line profiles is currently stunted by limitations
Externí odkaz:
http://arxiv.org/abs/2404.06569
Each $x\in (0,1]$ can be uniquely expanded as a power-2-decaying Gauss-like expansion, in the form of \begin{equation*} x=\sum_{i=1}^{\infty}2^{-(d_1(x)+d_2(x)+\cdots+d_i(x))},\qquad d_i(x)\in \mathbb{N}. \end{equation*} Let $\phi:\mathbb{N}\to \math
Externí odkaz:
http://arxiv.org/abs/2403.04159
Autor:
Li, Zhihui, Montomoli, Francesco
Publikováno v:
Reliab.Eng.Syst.Saf. 245 (2024) 109975
To reduce training costs, several Deep neural networks (DNNs) that can learn from a small set of HF data and a sufficient number of low-fidelity (LF) data have been proposed. In these established neural networks, a parallel structure is commonly prop
Externí odkaz:
http://arxiv.org/abs/2308.01261
Publikováno v:
AIAAJ. 62 (2024) 1400-1410
In this study, we utilize the emerging Physics Informed Neural Networks (PINNs) approach for the first time to predict the flow field of a compressor cascade. Different from conventional training methods, a new adaptive learning strategy that mitigat
Externí odkaz:
http://arxiv.org/abs/2308.04501
We present a new semi-analytic formalism for modeling metal absorption lines that emerge from a clumpy galactic environment, ALPACA. We predict the ''down-the-barrel'' (DTB) metal absorption line profiles and the EW of absorption at different impact
Externí odkaz:
http://arxiv.org/abs/2306.11089
Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) aims at learning modality-invariant features from unlabeled cross-modality dataset, which is crucial for practical applications in video surveillance systems. The key to es
Externí odkaz:
http://arxiv.org/abs/2305.12711
How to efficiently share secrets among multiple participants is a very important problem in key management. In this paper, we propose a multi-secret sharing scheme based on the GHZ state. First, the distributor uses monotone span program to encode th
Externí odkaz:
http://arxiv.org/abs/2303.00226
Spacecraft pose estimation plays a vital role in many on-orbit space missions, such as rendezvous and docking, debris removal, and on-orbit maintenance. At present, space images contain widely varying lighting conditions, high contrast and low resolu
Externí odkaz:
http://arxiv.org/abs/2302.10602
Uncontrolled spacecraft will disintegrate and generate a large amount of debris in the reentry process, and ablative debris may cause potential risks to the safety of human life and property on the ground. Therefore, predicting the landing points of
Externí odkaz:
http://arxiv.org/abs/2302.10530