Zobrazeno 1 - 10
of 365
pro vyhledávání: '"Huang Liwei"'
Autor:
Zhang Yonghai, Liang Hong, Huang Liwei, Zheng Junwei, Chen Yi, Li Bin, Yang Fan, Yu Jingfang, Ma Hanxiang
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 1509-1514 (2022)
Dexamethasone can be used to prevent nausea and vomiting after surgery, but there is concern that it may induced perineal irritation. The aim of this study was to investigate the attenuation effect of dilution and slow injection on dexamethasone-indu
Externí odkaz:
https://doaj.org/article/d3107f701ab841e1880bc61628589cd0
In this paper we study a principal-agent problem in continuous time with multiple lump-sum payments (contracts) paid at different deterministic times. We reduce the non-zero sum Stackelberg game between the principal and agent to a standard stochasti
Externí odkaz:
http://arxiv.org/abs/2411.04262
Autor:
Wang Xianwen, Jiang Xiangping, Nie Xin, Huang Xiaokun, Chen Chao, Wang Jun, Xu Jingdong, Huang Liwei
Publikováno v:
Processing and Application of Ceramics, Vol 15, Iss 2, Pp 120-127 (2021)
Structure and electrical properties of cerium doped bismuth barium titanate Ba1-xCexBi8Ti7O27 (x = 0, 0.05, 0.1, 0.15, 0,2 and 0.3) ceramics were investigated. X-ray diffraction revealed that the ceramic samples are of single stable phase. The cerami
Externí odkaz:
https://doaj.org/article/73007978c4814ecb858de47985899ab0
Seeking high-quality representations with latent variable models (LVMs) to reveal the intrinsic correlation between neural activity and behavior or sensory stimuli has attracted much interest. Most work has focused on analyzing motor neural activity
Externí odkaz:
http://arxiv.org/abs/2408.07908
Autor:
Yu, Liutao, Huang, Liwei, Zhou, Chenlin, Zhang, Han, Ma, Zhengyu, Zhou, Huihui, Tian, Yonghong
Video action recognition (VAR) plays crucial roles in various domains such as surveillance, healthcare, and industrial automation, making it highly significant for the society. Consequently, it has long been a research spot in the computer vision fie
Externí odkaz:
http://arxiv.org/abs/2406.15034
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 15, Iss 5, Pp 124-131 (2020)
Objectives Reducing the weight of the cross-deck is an important method for reducing the weight and center of gravity of a trimaran. Structural strength analysis is used as the premise for judging whether a weight reduction method is feasible.Methods
Externí odkaz:
https://doaj.org/article/184d7c99ab344de48350825b1048caac
Publikováno v:
High Temperature Materials and Processes, Vol 39, Iss 1, Pp 433-446 (2020)
Tunnel water burst is among the common severe geological hazards in deep buried tunnel projects in China and throughout the world. Asphalt grouting is an effective method to block seepage channels in macroporous strata under the condition of flowing
Externí odkaz:
https://doaj.org/article/1693538400f746dc8d34a5a45e2fa032
Autor:
Zhou, Chenlin, Zhang, Han, Yu, Liutao, Ye, Yumin, Zhou, Zhaokun, Huang, Liwei, Ma, Zhengyu, Fan, Xiaopeng, Zhou, Huihui, Tian, Yonghong
Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal dynamics, and event-driven computation. The direct training alg
Externí odkaz:
http://arxiv.org/abs/2405.04289
Autor:
Zhou, Chenlin, Zhang, Han, Zhou, Zhaokun, Yu, Liutao, Huang, Liwei, Fan, Xiaopeng, Yuan, Li, Ma, Zhengyu, Zhou, Huihui, Tian, Yonghong
Spiking Transformers, which integrate Spiking Neural Networks (SNNs) with Transformer architectures, have attracted significant attention due to their potential for energy efficiency and high performance. However, existing models in this domain still
Externí odkaz:
http://arxiv.org/abs/2403.16552
Autor:
Fang, Wei, Chen, Yanqi, Ding, Jianhao, Yu, Zhaofei, Masquelier, Timothée, Chen, Ding, Huang, Liwei, Zhou, Huihui, Li, Guoqi, Tian, Yonghong
Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic chips with high energy efficiency by introducing neural dynamics and spike properties. As the emerging spiking deep learning paradigm attracts increasing intere
Externí odkaz:
http://arxiv.org/abs/2310.16620