Zobrazeno 1 - 10
of 740
pro vyhledávání: '"CHEN Xiaowu"'
Autor:
JIANG Ting, WANG Ziyuan, GUO Hongbao, HONG Zhiliang, CHEN Xiaowu, QIN Hao, ZHANG Xiangyu, DONG Shaoming
Publikováno v:
Journal of Aeronautical Materials, Vol 44, Iss 4, Pp 77-84 (2024)
The dovetail of ceramic matrix composites(CMC)turbine blade is the key to the assembly and ability to withstand centrifugal loads of the blade. In order to study the mechanical behaviour of the blade dovetail prepared by the melt infiltration(M
Externí odkaz:
https://doaj.org/article/f655f776265b45c498e8bef11d113b43
Publikováno v:
Open Life Sciences, Vol 13, Iss 1, Pp 327-334 (2018)
Skewed sex development is prevalent in fish hybrids. However, the histological observation and molecular mechanisms remain elusive. In this study, we showed that the interspecific hybrids of the two fish species, Oreochromis niloticus and Oreochromis
Externí odkaz:
https://doaj.org/article/f5374ed8cd954cf48e4de8ca9c5cd34f
Existing salient object detection methods often adopt deeper and wider networks for better performance, resulting in heavy computational burden and slow inference speed. This inspires us to rethink saliency detection to achieve a favorable balance be
Externí odkaz:
http://arxiv.org/abs/2301.06679
Fine-grained visual recognition is to classify objects with visually similar appearances into subcategories, which has made great progress with the development of deep CNNs. However, handling subtle differences between different subcategories still r
Externí odkaz:
http://arxiv.org/abs/2212.13685
Autor:
You, Xiaohu, Huang, Yongming, Liu, Shengheng, Wang, Dongming, Ma, Junchao, Zhang, Chuan, Zhan, Hang, Zhang, Cheng, Zhang, Jiao, Li, Jin, Zhu, Min, You, Jianjie, Liu, Dongjie, He, Shiwen, He, Guanghui, Yang, Fengyi, Liu, Yang, Wu, Jianjun, Lu, Jianmin, Li, Ge, Chen, Xiaowu, Chen, Wenguang, Gao, Wen
Sixth-generation (6G) networks are evolving towards new features and order-of-magnitude enhancement of systematic performance metrics compared to the current 5G. In particular, the 6G networks are expected to achieve extreme connectivity performance
Externí odkaz:
http://arxiv.org/abs/2208.01190
Recent salient object detection (SOD) methods based on deep neural network have achieved remarkable performance. However, most of existing SOD models designed for low-resolution input perform poorly on high-resolution images due to the contradiction
Externí odkaz:
http://arxiv.org/abs/2204.05041
Autor:
Sun, Xiaofan, Chen, Xiaowu, Huang, Hui, Jin, Xihai, Kan, Yanmei, Yang, Jinshan, Hu, Jianbao, Liao, Chunjing, Liu, Ning, Dong, Shaoming
Publikováno v:
In Ceramics International 15 October 2024 50(20) Part A:37844-37857
Autor:
Shen, Yawei, Aly, Rahma Sakina Said, Chen, Tiantian, Jiang, Hewei, Liu, Yufei, Wang, Yongxiang, Chen, Xiaowu
Publikováno v:
In Fish and Shellfish Immunology October 2024 153
Publikováno v:
In Bioorganic & Medicinal Chemistry 1 September 2024 111
Autor:
Zhou, Liang, Hu, Jianbao, Zhang, Yunhui, Gao, Le, Yuan, Wang, Luo, Han, Kan, Yanmei, Zhang, Xiangyu, Yang, Jinshan, Wu, Bin, Chen, Xiaowu, Dong, Shaoming
Publikováno v:
In Journal of the European Ceramic Society August 2024 44(10):5917-5924