Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Xinhu ZHENG"'
Publikováno v:
智能科学与技术学报, Vol 2, Pp 135-143 (2020)
The key of early prevention and control of infectious diseases is to use the early warning technology and system to monitor the abnormal occurrence and trend of infectious diseases.There are still some problems in the existing infectious diseases aut
Externí odkaz:
https://doaj.org/article/1d6e1d03df7542eaa0ae985e0c85900f
Publikováno v:
Energies, Vol 13, Iss 18, p 4987 (2020)
The optimal power flow (OPF) problem plays an important role in power system operation and control. The problem is nonconvex and NP-hard, hence global optimality is not guaranteed and the complexity grows exponentially with the size of the system. Th
Externí odkaz:
https://doaj.org/article/c840b77bedee4b21babbd79fdbc28c0a
Publikováno v:
IEEE Internet of Things Journal. 9:22944-22957
Publikováno v:
IET Communications. 16:1393-1402
Autor:
Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Yuxin Dai, Zhihong Yu, Jun Jason Zhang, Guangquan Bu, Fei-Yue Wang
Publikováno v:
Neurocomputing. 475:69-79
Autor:
Junchen Jin, Yanhao Huang, Fei-Yue Wang, Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Jun Jason Zhang
Publikováno v:
Neurocomputing. 467:300-309
Deep Reinforcement Learning (DRL) has proven its capability to learn optimal policies in decision-making problems by directly interacting with environments. Meanwhile, supervised learning methods also show great capability of learning from data. Howe
Publikováno v:
Evidence-Based Complementary and Alternative Medicine, Vol 2021 (2021)
Evidence-based Complementary and Alternative Medicine : eCAM
Evidence-based Complementary and Alternative Medicine : eCAM
Objective. This paper aims to systematically evaluate the intervention effect of mind-body exercise on cancer-related fatigue in breast cancer patients. Methods. Databases including PubMed, the Cochrane Library, Embase, Web of Science, CNKI, Wanfang
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:253-265
Research on intelligent vehicles has been popular in the past decade. To fill the gap between automatic approaches and man-machine control systems, it is indispensable to integrate visual human–computer interactions (VHCIs) into intelligent vehicle