Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Changhe Yu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Chronic pain, a substantial public health issue, may be influenced by dietary patterns through systemic inflammation. This cross-sectional study explored the association between Dietary Inflammatory Index (DII) and chronic pain among 2581 Am
Externí odkaz:
https://doaj.org/article/ea5356452dc9494e83133b109f8e8ffe
Publikováno v:
BMJ Open, Vol 14, Iss 5 (2024)
Objectives This study explored the association between the Frailty Index (FI) and low back pain (LBP) in middle-aged and older Chinese adults. We hypothesised that a higher FI correlates with increased LBP prevalence.Design Cross-sectional analysis.S
Externí odkaz:
https://doaj.org/article/54d46eff4ff14a928b1e282f7e2de028
Publikováno v:
IEEE Access, Vol 7, Pp 12914-12927 (2019)
To improve the network resources utilization and the quality of service, the provision of an adaptive and customizable network service is deemed a feasible approach. In this paper, based on the quality of service (QoS)-aware traffic classification an
Externí odkaz:
https://doaj.org/article/631247c9b0cf460fb6ddced7f568cde4
Publikováno v:
IEEE Access, Vol 6, Pp 64533-64539 (2018)
This paper proposes DROM, a deep reinforcement learning mechanism for Software-Defined Networks (SDN) to achieve a universal and customizable routing optimization. DROM simplifies the network operation and maintenance by improving the network perform
Externí odkaz:
https://doaj.org/article/698cce547d464737988f3cb719f70287
Autor:
Shangmei Peng, Changhe Yu
Publikováno v:
Pakistan Journal of Zoology; Jun2024, Vol. 56 Issue 3, p1345-1350, 6p
Autor:
Ya’nan Sun, Yi An, Xiran Fan, Changxin Liu, Duoduo Li, Yuan Lei, Zhiwen Weng, Yuanyuan Gong, Xiyou Wang, Changhe Yu
Publikováno v:
Journal of Pain Research.
Yaânan Sun,1,* Yi An,2,* Xiran Fan,2 Changxin Liu,3 Duoduo Li,3 Yuan Lei,3 Zhiwen Weng,3 Yuanyuan Gong,3 Xiyou Wang,3 Changhe Yu3 1Traditional Chinese Medicine Department, Xuanwu Hospital Capital Medical University, Beijing, Peopleâ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05b4ae9c61e22ee64fac2f34072dcb05
https://www.dovepress.com/a-protocol-for-a-single-centered-pragmatic-randomized-controlled-paral-peer-reviewed-fulltext-article-JPR
https://www.dovepress.com/a-protocol-for-a-single-centered-pragmatic-randomized-controlled-paral-peer-reviewed-fulltext-article-JPR
Publikováno v:
IEEE Access, Vol 7, Pp 12914-12927 (2019)
To improve the network resources utilization and the quality of service, the provision of an adaptive and customizable network service is deemed a feasible approach. In this paper, based on the quality of service (QoS)-aware traffic classification an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::370da1fa1925d4364b4a26954ddf2d29
https://doi.org/10.1109/access.2019.2893058
https://doi.org/10.1109/access.2019.2893058
Publikováno v:
SCIENTIA SINICA Informationis. 48:1242-1256
Hybrid SDN networks are a transition between traditional networks and SDN networks. They can offer traditional services while achieving some SDN advantages such as better manageability. However, updates to hybrid SDN networks lack effective technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56cd00ea56b58f34696172afea4c5cdc
https://doi.org/10.1360/n112018-00021
https://doi.org/10.1360/n112018-00021
Publikováno v:
Procedia Computer Science. 131:1209-1216
The QoS-aware traffic classification techniques of SDN networks is the basis for network to provide fine-grained QoS traffic engineering. In this paper, we propose an architecture which combines deep packet detection and semi-supervised machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::526e7b6dfb98c2a609dfd7976de0884a
https://doi.org/10.1016/j.procs.2018.04.331
https://doi.org/10.1016/j.procs.2018.04.331
Publikováno v:
IEEE Access, Vol 6, Pp 64533-64539 (2018)
This paper proposes DROM, a deep reinforcement learning mechanism for Software-Defined Networks (SDN) to achieve a universal and customizable routing optimization. DROM simplifies the network operation and maintenance by improving the network perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d660f22cfe09521d99ba84bfb0ac2a72
https://ieeexplore.ieee.org/document/8502806/
https://ieeexplore.ieee.org/document/8502806/