Zobrazeno 1 - 10
of 2 136
pro vyhledávání: '"MA Hua"'
Autor:
Wang Zhenxu, Liu Tonghao, Liang Jian-Gang, Wang Jiafu, Meng Yueyu, Fu Xinmin, Chen Hongya, Zhu Ruichao, Chu Zuntian, Cui Yina, Sun Huiting, Wang Shaojie, Ma Hua, Qu Shaobo
Publikováno v:
Nanophotonics, Vol 13, Iss 6, Pp 915-926 (2024)
Flexible manipulation of surface waves (SWs) radiation has been continuously intriguing enormous interests of researchers due to its promising application prospects, and metasurfaces exhibit unparalleled capability to efficiently control SWs radiatio
Externí odkaz:
https://doaj.org/article/cf4bcf4e33c54503989a95a87ab01d62
Publikováno v:
Journal of Materials Research and Technology, Vol 21, Iss , Pp 319-329 (2022)
The effects of rolling temperature ranging from −55 to 300 °C on dislocation density, twinning behavior and correlative tensile properties of a high carbon high manganese steel were investigated. Results showed that the twinning behavior was enhan
Externí odkaz:
https://doaj.org/article/aa812fa184c647438b2d6b7f7c1e2d66
Autor:
Dong Bowen, Zhang Cheng, Guo Guanxuan, Zhang Xueqian, Wang Yuchao, Huang Lingling, Ma Hua, Cheng Qiang
Publikováno v:
Nanophotonics, Vol 11, Iss 9, Pp 2075-2083 (2022)
With the drafting of the 6G white paper, terahertz (THz) modulators reshow profound significance in wireless communication, data storage, and imaging. Active tuning of THz waves through hybrid meta-structure incorporated with smart materials has attr
Externí odkaz:
https://doaj.org/article/63518cb70ecc4cf082e4899b7db9f2ff
Quantitative MRI (qMRI) offers significant advantages over weighted images by providing objective parameters related to tissue properties. Deep learning-based methods have demonstrated effectiveness in estimating quantitative maps from series of weig
Externí odkaz:
http://arxiv.org/abs/2407.16477
Autor:
QU Fanwei, HE Jin, MA Hua, JIANG Yanling, ZHAO Wenlan, Virasakdi Chongsuvivatwong, JIANG Runsheng
Publikováno v:
Journal of Nepal Medical Association, Vol 57, Iss 215 (2019)
Introduction: In order to solve the shortage of competent healthcare manpower at the village level of Yunnan Province, We compared the training mode of Kunming Medical University and The Medical Educational Center, Hat Yai of PSU. The aim of this stu
Externí odkaz:
https://doaj.org/article/bba008cc8818416dbc04268cc1c8c753
Autor:
Ma, Hua, Wang, Shang, Gao, Yansong, Zhang, Zhi, Qiu, Huming, Xue, Minhui, Abuadbba, Alsharif, Fu, Anmin, Nepal, Surya, Abbott, Derek
All current backdoor attacks on deep learning (DL) models fall under the category of a vertical class backdoor (VCB) -- class-dependent. In VCB attacks, any sample from a class activates the implanted backdoor when the secret trigger is present. Exis
Externí odkaz:
http://arxiv.org/abs/2310.00542
Autor:
Gao, Yansong, Qiu, Huming, Zhang, Zhi, Wang, Binghui, Ma, Hua, Abuadbba, Alsharif, Xue, Minhui, Fu, Anmin, Nepal, Surya
Deep Neural Network (DNN) models are often deployed in resource-sharing clouds as Machine Learning as a Service (MLaaS) to provide inference services.To steal model architectures that are of valuable intellectual properties, a class of attacks has be
Externí odkaz:
http://arxiv.org/abs/2309.11894
Autor:
Wang, Guohong, Ma, Hua, Gao, Yansong, Abuadbba, Alsharif, Zhang, Zhi, Kang, Wei, Al-Sarawib, Said F., Zhang, Gongxuan, Abbott, Derek
Image camouflage has been utilized to create clean-label poisoned images for implanting backdoor into a DL model. But there exists a crucial limitation that one attack/poisoned image can only fit a single input size of the DL model, which greatly inc
Externí odkaz:
http://arxiv.org/abs/2309.04036
Publikováno v:
E3S Web of Conferences, Vol 260, p 03025 (2021)
Prefabricated concrete structure has the advantages of less energy consumption, easy quality control, fast construction speed, good construction site environment, and less contraction crack. As one of the important development directions of building
Externí odkaz:
https://doaj.org/article/3358d27b53a04b6a8e1fc53acbce181f
Emotion recognition using Electroencephalogram (EEG) signals has emerged as a significant research challenge in affective computing and intelligent interaction. However, effectively combining global and local features of EEG signals to improve perfor
Externí odkaz:
http://arxiv.org/abs/2305.05548