Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rui-fei Bai"'
Objective: To investigate the outcome of modified anterior cervical corpectomy and fusion(mACCF) without corpectomy C4 or C5 vertebral body in the treatment of four-level cervical spondylotic myelopathy (CSM). Methods: 34 consecutive patients suffere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e403cf3ad49514bb259a18f8d5e887a
https://doi.org/10.21203/rs.3.rs-2259144/v1
https://doi.org/10.21203/rs.3.rs-2259144/v1
Publikováno v:
2020 Chinese Automation Congress (CAC).
Wind power gearbox (WPG) is an important component of wind turbines, which is prone to faults due to factors such as working environment and complex structure. Furthermore, the causality of faults is difficult to be expressed by the mathematical mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1811ac2faf396b0ae4744631cc7955b1
https://doi.org/10.1109/cac51589.2020.9326534
https://doi.org/10.1109/cac51589.2020.9326534
Publikováno v:
Proceedings of 2018 Chinese Intelligent Systems Conference ISBN: 9789811322877
In this paper, a whole process optimization control (WPOC) method is proposed for the wastewater treatment process (WWTP). The WPOC method is studied under the scheme of hierarchical control. First, the intelligent decision part is designed based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::684b2800560086379ddfcda73f93911a
https://doi.org/10.1007/978-981-13-2288-4_48
https://doi.org/10.1007/978-981-13-2288-4_48
Publikováno v:
2018 13th World Congress on Intelligent Control and Automation (WCICA).
In this paper, a direct adaptive neural-network control (DANC) method is proposed to control the dissolved oxygen (DO) concentration in the wastewater treatment process (WWTP), which employs the forward neural network to approximate an ideal control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04bb68055a1647409342420a51ce3236
https://doi.org/10.1109/wcica.2018.8630484
https://doi.org/10.1109/wcica.2018.8630484