Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Guan Haoran"'
Autor:
Nurmamat Ayqeqan, Yan Zihao, Jiang Yao, Guan Haoran, Zhuang Ruyu, Zhang Shuyuan, Zhou Yuesi, Xiu Min, Pang Ya, Li Ding, Zhao Liang, Liu Xin, Han Yinglun
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 56, Pp 1561-1565 (2024)
Externí odkaz:
https://doaj.org/article/f0579ab19b314bc58bba96a545620b52
Publikováno v:
Jixie chuandong, Vol 47, Pp 103-107 (2023)
The cone-beam oral CT requires high transmission accuracy, and harmonic reducers with smooth operation, high precision efficiency and safety factor are mostly used. Its flexspline is prone to failure due to periodic deformation under alternating load
Externí odkaz:
https://doaj.org/article/d692dad422324641b11f22a2dae841d5
Autor:
Guan, Haoran, Fan, Yuwei
CholeskyQR-type algorithms are very popular in both academia and industry in recent years. It could make a balance between the computational cost, accuracy and speed. CholeskyQR2 provides numerical stability of orthogonality and Shifted CholeskyQR3 d
Externí odkaz:
http://arxiv.org/abs/2410.09389
Autor:
Guan, Haoran, Fan, Yuwei
CholeskyQR is an efficient algorithm for QR factorization with several advantages compared with orhter algorithms. In order to improve its orthogonality, CholeskyQR2 is developed \cite{2014}\cite{error}. To deal with ill-conditioned matrices, a shift
Externí odkaz:
http://arxiv.org/abs/2410.06525
Shifted CholeskyQR3 is designed to address the QR factorization of ill-conditioned matrices. This algorithm introduces a shift parameter $s$ to prevent failure during the initial Cholesky factorization step. The choice of this shift parameter $s$ is
Externí odkaz:
http://arxiv.org/abs/2408.06311
Autor:
Guan, Haoran
For the purpose of inspecting power plants, autonomous robots can be built using reinforcement learning techniques. The method replicates the environment and employs a simple reinforcement learning (RL) algorithm. This strategy might be applied in se
Externí odkaz:
http://arxiv.org/abs/2303.09013
Publikováno v:
In Environmental Technology & Innovation November 2024 36
Autor:
Wang, Jun, Liu, Haichao, Du, Chunya, Liu, Bing, Guan, Haoran, Liu, Yu, Guan, Shaowei, Sun, Zhenhua, Yao, Hongyan
Publikováno v:
In eScience August 2024 4(4)
Publikováno v:
In International Journal of Electrochemical Science August 2024 19(8)
Publikováno v:
In Science of the Total Environment 10 November 2023 898