Zobrazeno 1 - 10
of 1 128
pro vyhledávání: '"Liu Xiaoliang"'
The Segment Anything Model (SAM) is a cornerstone of image segmentation, demonstrating exceptional performance across various applications, particularly in autonomous driving and medical imaging, where precise segmentation is crucial. However, SAM is
Externí odkaz:
http://arxiv.org/abs/2411.02974
Publikováno v:
Di-san junyi daxue xuebao, Vol 41, Iss 9, Pp 866-870 (2019)
Objective To build a construction strategy for RNA-seq library for small quantity of cells by optimizing Tn5 transposase assembly and purification workflow. Methods Recombinant plasmid pSUMO-Tn5 was constructed by homologous recombination. After Tn5
Externí odkaz:
https://doaj.org/article/0866148bbe5e4f7ca5c759d47874a7b5
Publikováno v:
E3S Web of Conferences, Vol 136, p 02002 (2019)
The power characteristics are important for evaluating the operating state of the wind turbine. In order to accurately evaluate the performance of the actual 2.0MW wind turbine, this paper firstly collects the measured wind speed, power and other ope
Externí odkaz:
https://doaj.org/article/167eda26b63649f78977b39101da6df2
Deep neural networks are powerful, but they also have shortcomings such as their sensitivity to adversarial examples, noise, blur, occlusion, etc. Moreover, ensuring the reliability and robustness of deep neural network models is crucial for their ap
Externí odkaz:
http://arxiv.org/abs/2207.10290
Face recognition has achieved considerable progress in recent years thanks to the development of deep neural networks, but it has recently been discovered that deep neural networks are vulnerable to adversarial examples. This means that face recognit
Externí odkaz:
http://arxiv.org/abs/2206.12590
Data augmentation is a very practical technique that can be used to improve the generalization ability of neural networks and prevent overfitting. Recently, mixed sample data augmentation has received a lot of attention and achieved great success. In
Externí odkaz:
http://arxiv.org/abs/2205.08728
Autor:
Liu, Zhongxin, Zhang, Xuan, Song, Mengjie, Zhang, Long, Shao, Keke, Zhen, Zekang, Liu, Xiaoliang, Kim, Dong Rip
Publikováno v:
In International Communications in Heat and Mass Transfer December 2024 159 Part B
Autor:
Wu, Xingnong, Zhang, Yishuo, Peng, Lingling, Jiang, Hao, Liu, Xiaoliang, Zhang, Shuang, Saeed, Muhammad, Liu, Yonghui, Liu, Yibao, Bo, Tao, Liu, Yuhui, Li, Xiaoyan
Publikováno v:
In Journal of Hazardous Materials 15 February 2025 484
Publikováno v:
In Pattern Recognition January 2025 157