Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Zhong Sheng Chen"'
Publikováno v:
Guangtongxin yanjiu, Vol 00, Iss 04, Pp 15-20 (2021)
In view of the complexity of theoretical calculation and long calculation time of traditional evaluation method of optical fiber link transmission performance in coherent optical communication system, this paper uses machine learning technology to bu
Externí odkaz:
https://doaj.org/article/2619110d8c5b44de843927ecf221d989
Publikováno v:
Sensors, Vol 15, Iss 2, Pp 2419-2437 (2015)
High-speed blades are often prone to fatigue due to severe blade vibrations. In particular, synchronous vibrations can cause irreversible damages to the blade. Blade tip-timing methods (BTT) have become a promising way to monitor blade vibrations. Ho
Externí odkaz:
https://doaj.org/article/ca1c9485547c48349ce624ffc6b6266c
Publikováno v:
Sensors, Vol 14, Iss 8, Pp 14021-14037 (2014)
Electrostatic sensors have been widely used in many applications due to their advantages of low cost and robustness. Their spatial sensitivity and time-frequency characteristics are two important performance parameters. In this paper, an analytical m
Externí odkaz:
https://doaj.org/article/8355b5e90c7a4fa6a706ece5b3b77bf1
Autor:
Yiqing C. Liu, Qinglin Su, Zhong-Sheng Chen, Zoltan K. Nagy, Yan-Lin He, Yuan Xu, Qunxiong Zhu
Publikováno v:
Soft Computing. 25:6489-6504
Small sample size (SSS) problems pose a tremendous challenge in modeling tasks due to insufficient training samples, especially in process industry where thousands of useless samples overwhelm very limited valuable samples, leading to deterioration o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c19db188c0c19bb4f14764ffda4ceae5
https://doi.org/10.1007/s00500-021-05641-4
https://doi.org/10.1007/s00500-021-05641-4
Publikováno v:
2021 China Automation Congress (CAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce776e15302190a6ec8ab17676df3390
https://doi.org/10.1109/cac53003.2021.9728144
https://doi.org/10.1109/cac53003.2021.9728144
Publikováno v:
Soft Computing. 24:6889-6902
The operational data of advanced process systems have met with explosive growth, but its fluctuations are so slight that the number of the extracted representative samples is quite limited, making it difficult to reflect the nature of the process and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e268550bfcbbd1340872599480dc7c17
https://doi.org/10.1007/s00500-019-04326-3
https://doi.org/10.1007/s00500-019-04326-3
Publikováno v:
Molecules, Vol 22, Iss 5, p 762 (2017)
An efficient, convenient, and eco-friendly biocatalytic approach was developed for the synthesis of quinoline derivatives via the α-chymotrypsin-catalyzed Friedländer reaction. Interestingly, α-chymotrypsin exhibited higher catalytic activity in a
Externí odkaz:
https://doaj.org/article/dc54059a2c0946d0a8ad0fa34a3b9e63
Publikováno v:
2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
The accuracy of data-driven models requires large number of training samples. However, training samples in many applications are usually difficult to collect. Thus, learning from small training sets is still an unprecedented challenge. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b56f79cdeef30263ecaf3a35fc8cf234
https://doi.org/10.1109/itaic49862.2020.9338467
https://doi.org/10.1109/itaic49862.2020.9338467
Publikováno v:
Sensors, Vol 16, Iss 9, p 1403 (2016)
Electrostatic sensor arrays (ESAs) are promising in industrial applications related to charged particle monitoring. Sensitivity is a fundamental and commonly-used sensing characteristic of an ESA. However, the usually used spatial sensitivity, which
Externí odkaz:
https://doaj.org/article/fa8576f75a7b4b62af5486d2075b7ef3
Publikováno v:
Engineering Applications of Artificial Intelligence. 106:104497
In terms of data-driven soft sensing modeling of industrial processes, it is practically necessary to collect sufficient process data. Unfortunately, sometimes only few samples are available as a result of physical restrictions and time costs, result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df984baa8306dbd481efc69886f52cc
https://doi.org/10.1016/j.engappai.2021.104497
https://doi.org/10.1016/j.engappai.2021.104497