Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zhaoting Shi"'
Autor:
Zhaoting Shi, Yebo Ma, Xiaowen Ma, Anqi Jin, Jin Zhou, Na Li, Danli Sheng, Cai Chang, Jiangang Chen, Jiawei Li
Publikováno v:
Sensors, Vol 23, Iss 11, p 5099 (2023)
The preoperative differentiation of breast phyllodes tumors (PTs) from fibroadenomas (FAs) plays a critical role in identifying an appropriate surgical treatment. Although several imaging modalities are available, reliable differentiation between PT
Externí odkaz:
https://doaj.org/article/5e68dc81153d400f8a9135fed136fe8e
Publikováno v:
Entropy, Vol 23, Iss 8, p 1075 (2021)
Fault diagnosis of mechanical equipment is mainly based on the contact measurement and analysis of vibration signals. In some special working conditions, the non-contact fault diagnosis method represented by the measurement of acoustic signals can ma
Externí odkaz:
https://doaj.org/article/09925668d52b42cca1eb87c3d03f7020
Publikováno v:
Entropy, Vol 23, Iss 1075, p 1075 (2021)
Entropy
Volume 23
Issue 8
Entropy
Volume 23
Issue 8
Fault diagnosis of mechanical equipment is mainly based on the contact measurement and analysis of vibration signals. In some special working conditions, the non-contact fault diagnosis method represented by the measurement of acoustic signals can ma
Publikováno v:
Measurement Science and Technology. 33:015109
Transfer learning has been successfully applied in fault diagnosis to solve the difficulty in constructing network models due to the lack of labeled data in practical engineering. The current transfer learning models mainly use the adaptive method to