Zobrazeno 1 - 10
of 261
pro vyhledávání: '"CHENG Yuxuan"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 40, Iss 6, Pp 1195-1203 (2022)
The transition state is the most critical and dangerous state of the VTOL fixed wing aircraft in the whole flight process. In this paper, a transition corridor for a distributed propulsion VTOL fixed-wing aircraft is studied based on the lift charact
Externí odkaz:
https://doaj.org/article/150de294cf604d5fab934219f60e2508
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 40, Iss 3, Pp 485-492 (2022)
Due to the space limitation of the launching platform, the wings of the space-based gravity delivery UAV need to be folded before launching. In the process of wing folding and launching, the dynamics model of UAV will show the characteristics of mult
Externí odkaz:
https://doaj.org/article/3213b1d0c97a45ed8733c0ca74cec213
Medical image segmentation is a pivotal step in diagnostic and therapeutic processes, relying on high-quality annotated data that is often challenging and costly to obtain. Semi-supervised learning offers a promising approach to enhance model perform
Externí odkaz:
http://arxiv.org/abs/2410.12419
Autor:
Huang, Tingfeng, Cheng, Yuxuan, Xia, Jingbo, Yu, Rui, Cai, Yuxuan, Xiang, Jinhai, He, Xinwei, Bai, Xiang
Reconstruction-based methods have significantly advanced modern unsupervised anomaly detection. However, the strong capacity of neural networks often violates the underlying assumptions by reconstructing abnormal samples well. To alleviate this issue
Externí odkaz:
http://arxiv.org/abs/2408.07490
Integrating visible and infrared images into one high-quality image, also known as visible and infrared image fusion, is a challenging yet critical task for many downstream vision tasks. Most existing works utilize pretrained deep neural networks or
Externí odkaz:
http://arxiv.org/abs/2406.19055
Autor:
Cheng, Yuxuan, Lonial, Benjamin F., Sista, Shivnag, Meer, David J., Hofert, Anisa, Weeks, Eric R., Shattuck, Mark D., O'Hern, Corey S.
Publikováno v:
Soft Matter 20 (2024) 8036
Capillary droplets form due to surface tension when two immiscible fluids are mixed. We describe the motion of gravity-driven capillary droplets flowing through narrow constrictions and obstacle arrays in both simulations and experiments. Our new cap
Externí odkaz:
http://arxiv.org/abs/2406.13776
Autor:
Liu, Haoyang, Li, Yijiang, Jian, Jinglin, Cheng, Yuxuan, Lu, Jianrong, Guo, Shuyi, Zhu, Jinglei, Zhang, Mianchen, Zhang, Miantong, Wang, Haohan
Machine learning has emerged as a powerful tool for scientific discovery, enabling researchers to extract meaningful insights from complex datasets. For instance, it has facilitated the identification of disease-predictive genes from gene expression
Externí odkaz:
http://arxiv.org/abs/2402.12391
Autor:
Beqiri, Sara, Herrera, Gissel, Liu, Jeremy, Shen, Mengxi, Berni, Alessandro, El-Mulki, Omar S., Cheng, Yuxuan, Trivizki, Omer, Kastner, James, O'Brien, Robert C., Gregori, Giovanni, Wang, Ruikang K., Rosenfeld, Philip J.
Publikováno v:
In Experimental Eye Research November 2024 248
Autor:
Zhang, Nan, Shi, Kaili, Ma, Shuyin, Zhang, Xiaodong, Duan, Minyu, Zhang, Mengyuan, Liu, Yixin, Gao, Tiantian, Yang, Han, Ma, Xiaodong, Huang, Yizhou, Cheng, Yuxuan, Qu, Huiyang, Fan, Jiaxin, Yao, Qingling, Zhan, Shuqin
Publikováno v:
In Journal of Stroke and Cerebrovascular Diseases November 2024 33(11)
Publikováno v:
In Thin-Walled Structures November 2024 204