Zobrazeno 1 - 10
of 6 982
pro vyhledávání: '"Zhonghai An"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1826 (2024)
For an offshore photovoltaic helical pile foundation, significant horizontal cyclic loading is imposed by wind and waves. To study a fixed offshore PV helical pile’s horizontal cyclic bearing performance, a numerical model of the helical pile under
Externí odkaz:
https://doaj.org/article/7cf1846535214aeab57af369e25da67c
Network-on-Chip (NoC) based architectures are recently proposed to accelerate deep neural networks in specialized hardware. Given that the hardware configuration is fixed post-manufacture, proper task mapping attracts researchers' interest. We propos
Externí odkaz:
http://arxiv.org/abs/2411.12710
Autor:
Yan, Guochen, Li, Xunkai, Xie, Luyuan, Zhang, Wentao, Shen, Qingni, Fang, Yuejian, Wu, Zhonghai
Federated Graph Learning (FGL) has emerged as a promising paradigm for breaking data silos in distributed private graphs data management. In practical scenarios involving complex and heterogeneous distributed graph data, personalized Federated Graph
Externí odkaz:
http://arxiv.org/abs/2411.11304
Recently, a class of Gauss-Bonnet extended Starobinsky gravity was proposed, allowing black holes to carry ghost-free massive scalar hair for the first time without requiring additional matter fields. This intriguing feature offers a new perspective
Externí odkaz:
http://arxiv.org/abs/2410.14108
Autor:
Liu, Qize, Pan, Xiaofan, Zheng, Xutao, Gao, Huaizhong, Li, Longhao, Wang, Qidong, Yang, Zirui, Tang, Chenchong, Wu, Wenxuan, Cheng, Jianping, Zeng, Zhi, Zeng, Ming, Feng, Hua, Zhang, Binbin, Wang, Zhonghai, Zhou, Rong, Liu, Yuanyuan, Lin, Lin, Zhong, Jiayong, Jiang, Jianyong, Han, Wentao, Tian, Yang, Xu, Benda, Collaboration, GRID
The Gamma-Ray Integrated Detectors (GRID) are a space science mission that employs compact gamma-ray detectors mounted on NanoSats in low Earth orbit (LEO) to monitor the transient gamma-ray sky. Owing to the unpredictability of the time and location
Externí odkaz:
http://arxiv.org/abs/2410.13402
Publikováno v:
Buildings, Vol 13, Iss 8, p 2114 (2023)
Tower foundations are generally of a cast-in-place structure with the disadvantages of low industrialization level and long construction period. The development of prefabricated foundation for transmission line projects is efficient to improve the in
Externí odkaz:
https://doaj.org/article/91b2c4bc408243fcace25a85d4fd7887
Autor:
Xu, Yijiang, Jia, Hongrui, Chen, Liguo, Wang, Xin, Zeng, Zhengran, Wang, Yidong, Gao, Qing, Wang, Jindong, Ye, Wei, Zhang, Shikun, Wu, Zhonghai
Fuzz testing is crucial for identifying software vulnerabilities, with coverage-guided grey-box fuzzers like AFL and Angora excelling in broad detection. However, as the need for targeted detection grows, directed grey-box fuzzing (DGF) has become es
Externí odkaz:
http://arxiv.org/abs/2409.14329
Autor:
Maopeng, Wu, Mingze, Weng, Zhonghai, Chi, Yingyi, Qi, Siyong, Zheng, Fubei, Liu, Xinxin, Li, Qian, Zhao, Yonggang, Meng, Ji, Zhou
Because of the ease of using optical gain or loss, it's widely believed that photonics provides an ideal platform to explore various non-Hermitian (NH) paradigms. Here, without any gain or loss, the non-Bloch wave transport that is unique to NH syste
Externí odkaz:
http://arxiv.org/abs/2408.16290
Anomaly detection is a crucial task in various domains. Most of the existing methods assume the normal sample data clusters around a single central prototype while the real data may consist of multiple categories or subgroups. In addition, existing m
Externí odkaz:
http://arxiv.org/abs/2408.14498
Autor:
Xie, Luyuan, Lin, Manqing, Xu, ChenMing, Luan, Tianyu, Zeng, Zhipeng, Qian, Wenjun, Li, Cong, Fang, Yuejian, Shen, Qingni, Wu, Zhonghai
In the evolving application of medical artificial intelligence, federated learning is notable for its ability to protect training data privacy. Federated learning facilitates collaborative model development without the need to share local data from h
Externí odkaz:
http://arxiv.org/abs/2407.00474