Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Zihao Xiao"'
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
ObjectiveTo compare the effects of robot-assisted therapy with conventional therapy for accelerating stratified intervention in poststroke patients with upper limb dysfunction.BackgroundFor stroke survivors, recovery of upper extremity function remai
Externí odkaz:
https://doaj.org/article/3f0acf5a4af84ce19d26723e03fbbe55
Autor:
Zhi Sun, Xingtao Jiang, Haonan Zhang, Jiangyun Deng, Zihao Xiao, Chen Cheng, Xiaolong Li, Guolong Cui
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1379 (2024)
An airborne bistatic radar working in downward-looking mode confronts two major challenges for low-altitude target detection. One is range cell migration (RCM) and Doppler migration (DM) resulting from the relative motion of the radar and target. The
Externí odkaz:
https://doaj.org/article/98ef883423bb49e8892a193d11b40a2a
Publikováno v:
Journal of Clinical Neuroscience. 103:85-91
Virtual reality (VR) and computer-assisted cognitive rehabilitation (CACR) are two emerging rehabilitation therapies for stroke patients. The aim of this study was to compare the rehabilitation efficacy of these two treatments for patients with post-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5086b08f9f098a568a2792c75ef780b3
https://doi.org/10.1016/j.jocn.2022.07.005
https://doi.org/10.1016/j.jocn.2022.07.005
Autor:
Yu Wu, Zihao Xiao
Publikováno v:
Highlights in Science, Engineering and Technology. 5:155-165
With the rapid development of industrial intelligent manufacturing and electronic information technology, the importance of integrated circuits has grown fast. Photolithography, as the core technology of integrated circuit industry, has become a key
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::141c196c14ab17394b43d3e6adef8326
https://doi.org/10.54097/hset.v5i.737
https://doi.org/10.54097/hset.v5i.737
Autor:
Kunquan Li, Jiamin Xiang, Jiale Zhou, Xiaojing Su, Huali Xie, Shaoze Lin, Zihao Xiao, Weijun Huang, Chongrui Zhao, Huiru Chen, Wenjian Wu
Publikováno v:
Progress in Organic Coatings. 177:107415
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32f5e27803aa250173449adf69ac9154
https://doi.org/10.1016/j.porgcoat.2023.107415
https://doi.org/10.1016/j.porgcoat.2023.107415
In this paper, we present a Nuisance-label Supervision (NLS) module, which can make models more robust to nuisance factor variations. Nuisance factors are those irrelevant to a task, and an ideal model should be invariant to them. For example, an act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e8e140b3afd7bc6bb402c0469f1e64
http://arxiv.org/abs/2110.07118
http://arxiv.org/abs/2110.07118
Autor:
Jun Wang, Lan Wang, Yu Qiao, Wenjin Wu, Gangpeng Shi, Shi Liu, Chunhai Jiao, Zihao Xiao, Liao Li, Ding Anzi, Li Xin, Guangquan Xiong, Mingzhu Zhou
Publikováno v:
Journal of Food Biochemistry. 45
Myofibrillar protein (MPS) and myosin (MS) from grass carp was irradiated by γ-ray and electron beam (EB) irradiation with different dose (2, 4, 6, 8, and 10 kGy). The changes in the physicochemical properties (solubility, Ca2+ -ATPase activity, tot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7131825591513d8ba556ba4a07978df6
https://doi.org/10.1111/jfbc.13828
https://doi.org/10.1111/jfbc.13828
Publikováno v:
CVPR
Face recognition is greatly improved by deep convolutional neural networks (CNNs). Recently, these face recognition models have been used for identity authentication in security sensitive applications. However, deep CNNs are vulnerable to adversarial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff0304e615ae5a2a86a8e625a8e152f8
https://doi.org/10.1109/cvpr46437.2021.01167
https://doi.org/10.1109/cvpr46437.2021.01167
Although deep neural networks (DNNs) have made rapid progress in recent years, they are vulnerable in adversarial environments. A malicious backdoor could be embedded in a model by poisoning the training dataset, whose intention is to make the infect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::875d3d9e59ebe278f8982a6ac0f1a97d
http://arxiv.org/abs/2103.13127
http://arxiv.org/abs/2103.13127
Publikováno v:
Advanced Sustainable Systems. 6:2100515
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bff7b291128d46b804199d57e28ee499
https://doi.org/10.1002/adsu.202100515
https://doi.org/10.1002/adsu.202100515