Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Longcan Chen"'
Autor:
Dongsheng Jia, Pengcheng Feng, Liangdi Wang, Longcan Chen, Jun Wang, Jihong Zhu, Yingjie Xu, Weihong Zhang
Publikováno v:
Defence Technology, Vol 31, Iss , Pp 447-456 (2024)
In this paper, the design, manufacture and testing of an origami protective shield with a supporting frame structure are presented. It consists of an origami shield surface and a deployable supporting frame structure that needs to be portable and suf
Externí odkaz:
https://doaj.org/article/4f5f393a0edd4f61804d55a003b1a36a
Autor:
Dongsheng Jia, Pengcheng Feng, Liangdi Wang, Longcan Chen, Jun Wang, Jihong Zhu, Yingjie Xu, Weihong Zhang
Publikováno v:
Defence Technology.
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Objective This study was designed to develop and validate a robust predictive model for one-year mortality in elderly coronary heart disease (CHD) patients with anemia using machine learning methods. Methods Demographics, tests, comorbiditie
Externí odkaz:
https://doaj.org/article/c6a759e936c54b41989c82759bf70238
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031147203
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20e983a5849a833016ee9c99d6307add
https://doi.org/10.1007/978-3-031-14721-0_17
https://doi.org/10.1007/978-3-031-14721-0_17
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Fault Detection and Diagnosis Based on the Machine Learning Method of Lifting Scheme Wavelet and PCA
Publikováno v:
2021 2nd Asia Symposium on Signal Processing (ASSP).
Publikováno v:
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Publikováno v:
CEC
In the evolutionary multi-objective optimization (EMO) community, an unbounded external archive has been used in some studies for evaluating the performance of EMO algorithms. Those studies show that the unbounded external archive often includes bett
Autor:
Longcan Chen, Xiaojie Chao
Publikováno v:
Journal of Physics: Conference Series. 2235:012033
In the current industrial field control, most of the servo control systems communicate with the motion controller and the servo driver, and if the industrial site needs to modify the parameters of the servo system in time according to the requirement
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030720612
EMO
EMO
R2HCA-EMOA is a recently proposed hypervolume-based evolutionary multi-objective optimization (EMO) algorithm. It uses an R2 indicator variant to approximate the hypervolume contribution of each solution. Meanwhile, it uses a utility tensor structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8739e569417a9350dc52523b81d34721
https://doi.org/10.1007/978-3-030-72062-9_10
https://doi.org/10.1007/978-3-030-72062-9_10