1 |
J. H. Park, M. K. Jang, G. H. Lee, E. K. Oh and S. W. Hur, "Forecasting Algorithm for Vessel Engine Failure", Journal of KIIT, 14(11), pp.109-117, 2016
|
2 |
C. M. Park and J. S. Jeon, "Regression-based outlier detection of sensor measurements using independent variable synthesis", Journal of the Korean Institute of Plant Engineering, 20(3), pp. 87-93, 2015
|
3 |
M. Mourad and J. L. Bertrand-Krajewski, "A method for automatic validation of long time series of data in urban hydrology", Water Science & Technology, 45(4), pp. 263-270, 2002
|
4 |
I. S. Jung, S. C. Park and G. N. Wang, "Two phase reverse neural network based facilities failure prediction system", Journal of the Korean Institute of Plant Engineering, 11(2), pp. 145-154, 2006
|
5 |
G. J. Williams, R. A. Baxter, H. X. He, S. Hawkins and L. Gu, "A comparative study of RNN for outlier detection in data mining", IEEE International Conference on Data-mining Technical Report 02(102), pp. 709, 2002
|
6 |
A. B. Sharma, L. Golubchik, R. Govindan, "Sensor faults: Detection methods and prevalence in real-world datasets", ACM Transactions on Sensor Networks v.6 n.3, pp. 1-39, 2010
|
7 |
M. Mitchell, "An introduction to genetic algorithms," The MIT Press, pp. 166, 1997
|