Zobrazeno 1 - 10
of 1 158
pro vyhledávání: '"Liu Weiming"'
Autor:
YIN Shuai, TIAN Tao, LI Junlu, WANG Ruifei, ZHOU Xue, LI Yurong, LIU Weiming, LI Xiangxue, ZHANG Lei
Publikováno v:
Youqi dizhi yu caishoulu, Vol 31, Iss 1, Pp 1-12 (2024)
Fault-fracture bodies are developed in the southwestern margin of Ordos Basin， and thus， the study on the controlling effect of fracture bodies on sweet spot distribution of Yanchang Formation reservoirs needs to be deepened. In this paper， bas
Externí odkaz:
https://doaj.org/article/124a988a4a084fc7b4ff5ddc23521778
Publikováno v:
Jisuanji kexue yu tansuo, Vol 16, Iss 1, Pp 120-136 (2022)
Aiming at the problem of unbalanced load, bad efficiency of N-list merge and redundant search for each node based on parallel frequent itemset mining algorithm MRPrePost (parallel PrePost algorithm based on MapReduce), this paper proposes a hybrid pa
Externí odkaz:
https://doaj.org/article/7018ea0a0ef744e88331574f85750b07
Publikováno v:
Dizhi lixue xuebao, Vol 27, Iss 6, Pp 1024-1034 (2021)
The Yichang area located at the exit of the Three Gorges is covered with a set of thick Quaternary gravel layers, recording the evolution of the paleoenvironment and the formation of the Yangtze River. However, there has been a great dispute over the
Externí odkaz:
https://doaj.org/article/c49a798ec5254f7bb856ed3e00c2f6e6
Autor:
Yang, Hanlin, Yao, Jian, Liu, Weiming, Wang, Qing, Qin, Hanmin, Kong, Hansheng, Tang, Kirk, Xiong, Jiechao, Yu, Chao, Li, Kai, Xing, Junliang, Chen, Hongwu, Zhuo, Juchao, Fu, Qiang, Wei, Yang, Fu, Haobo
Recovering a spectrum of diverse policies from a set of expert trajectories is an important research topic in imitation learning. After determining a latent style for a trajectory, previous diverse policies recovering methods usually employ a vanilla
Externí odkaz:
http://arxiv.org/abs/2410.15910
Autor:
Liao, Xinting, Liu, Weiming, Zhou, Pengyang, Yu, Fengyuan, Xu, Jiahe, Wang, Jun, Wang, Wenjie, Chen, Chaochao, Zheng, Xiaolin
Federated learning (FL) is a promising machine learning paradigm that collaborates with client models to capture global knowledge. However, deploying FL models in real-world scenarios remains unreliable due to the coexistence of in-distribution data
Externí odkaz:
http://arxiv.org/abs/2410.11397
Autor:
YANG Yi, DANG Yuanyuan, XIA Xiaoyu, XU Long, CHEN Xueling, GENG Xiaoli, LIU Weiming, HE Jianghong
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 15, Pp 1430-1436 (2021)
Objective To study the changes of pituitary-related hormones in patients with prolonged disorders of consciousness (pDOC) and its influence on the prognosis of patient in order to explore the risk factor of hormone levels with consciousness level and
Externí odkaz:
https://doaj.org/article/63b9f6be24924cd18348855566d3eb7d
Publikováno v:
Journal of Aeronautical Materials, Vol 39, Iss 6, Pp 46-62 (2019)
Electrochromic technology has been widely used in many fields, such as building windows and car rear-view mirrors. Ion storage layers (generally anodic electrochromic materials) are significant for improving the performance of electrochromic devices
Externí odkaz:
https://doaj.org/article/4d8b4aaa4f714398b5f9afe04c35587f
Publikováno v:
Journal of Aeronautical Materials, Vol 39, Iss 6, Pp 90-98 (2019)
LiCoO2 thin films were prepared on single crystal Si (100) by magnetron sputtering method and then annealed by different annealing temperatures, holding times and atmospheres. The effects of annealing processes on the surface morphologies, compositio
Externí odkaz:
https://doaj.org/article/7547198b5cc045838781f34a23e63912
Publikováno v:
Journal of Aeronautical Materials, Vol 38, Iss 1, Pp 17-25 (2018)
With the size of thin-film electronic devices decreasing, the film stress became an important reason for the failure of thin film devices. Film stress not only affected the membrane structure, but also associated with film optics, electricity, mechan
Externí odkaz:
https://doaj.org/article/33db0b2cc05e456c8c7bae18c2d58bc3
Autor:
Liao, Xinting, Liu, Weiming, Chen, Chaochao, Zhou, Pengyang, Yu, Fengyuan, Zhu, Huabin, Yao, Binhui, Wang, Tao, Zheng, Xiaolin, Tan, Yanchao
Federated learning achieves effective performance in modeling decentralized data. In practice, client data are not well-labeled, which makes it potential for federated unsupervised learning (FUSL) with non-IID data. However, the performance of existi
Externí odkaz:
http://arxiv.org/abs/2403.16398