Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Qun-Li Mei"'
Autor:
Hui-lian Huang, Song-bai Yang, Zhi-gang Mei, Ya-guang Huang, Mao-hua Chen, Qun-li Mei, Hua-ping Lei, Qing-xian Mei, Jian-hua Chen
Publikováno v:
Trials, Vol 22, Iss 1, Pp 1-14 (2021)
Abstract Background Insomnia is a common but frequently overlooked sleep disorder after stroke, and there are limited effective therapies for insomnia following stroke. Traditional Chinese medicine (TCM), including acupuncture and the Chinese herbal
Externí odkaz:
https://doaj.org/article/4447852f06b843aea45849ef569d21b1
Autor:
Qing-Xian Mei, Song-Bai Yang, Jian-Hua Chen, Mao-Hua Chen, Qun-Li Mei, Zhi-Gang Mei, Ya-Guang Huang, Hui-Lian Huang, Hua-Ping Lei
Publikováno v:
Trials
Trials, Vol 22, Iss 1, Pp 1-14 (2021)
Trials, Vol 22, Iss 1, Pp 1-14 (2021)
Background Insomnia is a common but frequently overlooked sleep disorder after stroke, and there are limited effective therapies for insomnia following stroke. Traditional Chinese medicine (TCM), including acupuncture and the Chinese herbal medicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d60b037c67242d33a0e35c2af314f97
https://doi.org/10.1186/s13063-021-05399-y
https://doi.org/10.1186/s13063-021-05399-y
Publikováno v:
Applied Mechanics and Materials. :3085-3088
A novel wavelet transform — the least-square transform is proposed in the paper, which is used to extract weak fault signals from strong interference signals in coal mineral well. With the help of the least-square transform, a smooth fault signal c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e3ef126fb3050e794408b5e9946f557
https://doi.org/10.4028/www.scientific.net/amm.295-298.3085
https://doi.org/10.4028/www.scientific.net/amm.295-298.3085
Publikováno v:
Advanced Materials Research. :1787-1790
Intrusion detection algorithm based on support vector machine with pre-extracting support vector is proposed which combines the center distance ratio and classification algorithm. Given proper thresholds, we can use the support vector as a substitute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6128e4d0728e18ca1d78ecf06f4c133
https://doi.org/10.4028/www.scientific.net/amr.655-657.1787
https://doi.org/10.4028/www.scientific.net/amr.655-657.1787