Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Chang Woo Hong"'
Publikováno v:
Sensors, Vol 20, Iss 22, p 6626 (2020)
This study prognoses the remaining useful life of a turbofan engine using a deep learning model, which is essential for the health management of an engine. The proposed deep learning model affords a significantly improved accuracy by organizing netwo
Externí odkaz:
https://doaj.org/article/4c28647bbb82449b8e0dc7b94ffa1733
Autor:
Chang-Woo Hong
Publikováno v:
The Journal of Korean History. 199:53-91
Autor:
Chang Woo Hong, Junghwan Ro
Publikováno v:
The Journal of Korean Institute of Information Technology. 20:151-164
Autor:
Chang Woo Hong, Jeongju Kim
Publikováno v:
Journal of Electrical Engineering & Technology.
Autor:
Sung Hoon Jin, Chang Woo Hong
Publikováno v:
Journal of the KNST. 5:97-105
Autor:
Chang-woo Hong
Publikováno v:
The Journal of Korean Medieval History. 68:257-294
Autor:
Chang-Woo Hong
Publikováno v:
The Journal of Korean Ancient History. 103:263-297
Autor:
Kyeon Hur, Chang Woo Hong
Publikováno v:
Journal of the KNST. 4:121-126
Deep Concatenated Residual Network With Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting
Publikováno v:
IEEE Transactions on Sustainable Energy. 12:1321-1335
This paper presents a deep residual network for improving time-series forecasting models, indispensable to reliable and economical power grid operations, especially with high shares of renewable energy sources. Motivated by the potential performance
Autor:
Chang Woo Hong, Kyeon Hur
Publikováno v:
Journal of the KNST. 4:78-83