Zobrazeno 1 - 10
of 1 132
pro vyhledávání: '"Yu Jiaqi"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 55, Iss 03, Pp 297-310 (2021)
In order to improve the cargo owner’s satisfaction and obtain better economic benefits for shipping companies, the ship deployment along routes and speed optimization of tramp ships are studied, considering the influencing factors of ship schedulin
Externí odkaz:
https://doaj.org/article/0b68d702a21c4fce9c86bff838b3bbe9
Autor:
Shao, Yifan, Guo, Shuhan, Chen, Rui, Dang, Yongdi, Zhou, Yi, Wang, Yubo, Zhan, Junjie, Yu, Jiaqi, Ju, Bing-Feng, Ma, Yungui
Publikováno v:
Laser and Photonics Reviews 17, 2300027(2023)
The out-of-band energy loss caused by in-built color filters significantly degrades the signal-to-noise ratio and the dynamic range of conventional image sensors, which has restricted the attempt to develop ultrahigh-density imaging devices by merely
Externí odkaz:
http://arxiv.org/abs/2406.13970
Autor:
Ye, Xiangdong, Yu, Jiaqi
For a dynamical system $(X,T)$, $d\in\mathbb{N}$ and distinct non-constant integral polynomials $p_1,\ldots, p_d$ vanishing at $0$, the notion of regionally proximal relation along $C=\{p_1,\ldots,p_d\}$ (denoted by $RP_C^{[d]}(X,T)$) is introduced.
Externí odkaz:
http://arxiv.org/abs/2405.11251
Autor:
Qiu, Jiahao, Yu, Jiaqi
We show that for a minimal system $(X,T)$, the set of saturated points along cubes with respect to its maximal $\infty$-step pro-nilfactor $X_\infty$ has a full measure. As an application, it is shown that if a minimal system $(X,T)$ has no non-trivi
Externí odkaz:
http://arxiv.org/abs/2311.14198
Deep learning models are usually black boxes when deployed on machine learning platforms. Prior works have shown that the attributes ($e.g.$, the number of convolutional layers) of a target black-box neural network can be exposed through a sequence o
Externí odkaz:
http://arxiv.org/abs/2307.10997
Autor:
Li, Wensheng, Zhang, Yiding, Xu, Yanwei, Jiao, Guangming, Zuo, Dunwen, Lu, Wenting, Cheng, Quanshi, Yu, Jiaqi, Chen, Yajun
Publikováno v:
Anti-Corrosion Methods and Materials, 2023, Vol. 71, Issue 1, pp. 12-19.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ACMM-07-2023-2857
Publikováno v:
In International Immunopharmacology 25 December 2024 143 Part 3
Publikováno v:
In Energy & Buildings 1 December 2024 324
Publikováno v:
In Applied Energy 1 December 2024 375
Publikováno v:
In Optics Communications 15 November 2024 571