Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zhedong Hu"'
Publikováno v:
Sensors, Vol 22, Iss 18, p 6861 (2022)
Training a deep convolutional neural network (DCNN) to detect defects in substation equipment often requires many defect datasets. However, this dataset is not easily acquired, and the complex background of the infrared images makes defect detection
Externí odkaz:
https://doaj.org/article/0d5d1e14717343e98de6fb10a1862dd5
Publikováno v:
Sensors, Vol 22, Iss 16, p 6102 (2022)
To address the challenges in the unmanned system-based intelligent inspection of electric transmission line insulators, this paper proposed a multi-geometric reasoning network (MGRN) to accurately detect insulator geometric defects based on aerial im
Externí odkaz:
https://doaj.org/article/76d66a3fdb02406680c4b9683aad1dec
Publikováno v:
Multimedia Tools and Applications.
Publikováno v:
Expert Systems with Applications. 227:120187
Contents and Methods: The Reference and Enlightenment of ACCA Professional Ethics Education to China
Autor:
Zhedong Hu, Jinjian Yang
Publikováno v:
Advances in Social Science, Education and Humanities Research.
Publikováno v:
Image and Graphics Technologies and Applications ISBN: 9789813360327
In the application of deep learning algorithms based on large-scale data sets, some problems, such as insufficient samples, imperfect sample quality, and high cost of building large data sets, emerge and restrict algorithm performance. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adb15a2e548c639b54c23752f97e70bf
https://doi.org/10.1007/978-981-33-6033-4_14
https://doi.org/10.1007/978-981-33-6033-4_14
Autor:
Zhedong Hu
Publikováno v:
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018).
Autor:
Zhedong Hu
Publikováno v:
Proceedings of the 2nd International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2018).
Publikováno v:
PLoS ONE, Vol 9, Iss 1 (2014)
Externí odkaz:
https://doaj.org/article/e81e12018bea49d2ab1d21ecb5862efb
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e74441 (2013)
BACKGROUND: Yellow horn (Xanthoceras sorbifolia Bunge) is an oil-rich seed shrub that grows well in cold, barren environments and has great potential for biodiesel production in China. However, the limited genetic data means that little information a
Externí odkaz:
https://doaj.org/article/09d592aaa47347688a4aba96e9d592b2