Jae-Yoon Jung
Jae-Yoon Jung
Industrial and Management Systems Engineering, Kyung Hee University
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Cited by
Cited by
An architecture for emergency event prediction using LSTM recurrent neural networks
B Cortez, B Carrera, YJ Kim, JY Jung
Expert Systems with Applications 97, 315-324, 2018
LiReD: A light-weight real-time fault detection system for edge computing using LSTM recurrent neural networks
D Park, S Kim, Y An, JY Jung
Sensors 18 (7), 2110, 2018
A two-step approach to solar power generation prediction based on weather data using machine learning
SG Kim, JY Jung, MK Sim
Sustainability 11 (5), 1501, 2019
An entropy-based uncertainty measure of process models
JY Jung, CH Chin, J Cardoso
Information Processing Letters 111 (3), 135-141, 2011
i-RM: An intelligent risk management framework for context-aware ubiquitous cold chain logistics
K Kim, H Kim, SK Kim, JY Jung
Expert Systems with Applications 46, 463-473, 2016
Hierarchical clustering of business process models
JY Jung, J Bae, L Liu
International Journal of Innovative Computing, Information and Control 5 (12 …, 2009
Imbalanced classification of manufacturing quality conditions using cost-sensitive decision tree ensembles
A Kim, K Oh, JY Jung, B Kim
International Journal of Computer Integrated Manufacturing 31 (8), 701-717, 2018
Business process choreography for B2B collaboration
J Jung, W Hur, SH Kang, H Kim
IEEE Internet Computing 8 (1), 37-45, 2004
An ECA-based framework for decentralized coordination of ubiquitous web services
JY Jung, J Park, SK Han, K Lee
Information and Software Technology 49 (11-12), 1141-1161, 2007
Language independent semantic kernels for short-text classification
K Kim, B Chung, Y Choi, S Lee, JY Jung, J Park
Expert Systems with Applications 41 (2), 735-743, 2014
Workflow clustering method based on process similarity
JY Jung, J Bae
International Conference on Computational Science and Its Applications, 379-389, 2006
Event-driven service coordination for business process integration in ubiquitous enterprises
J Kong, JY Jung, J Park
Computers & Industrial Engineering 57 (1), 14-26, 2009
Standards-based approaches to B2B workflow integration
JY Jung, H Kim, SH Kang
Computers & Industrial Engineering 51 (2), 321-334, 2006
SAX-ARM: Deviant event pattern discovery from multivariate time series using symbolic aggregate approximation and association rule mining
H Park, JY Jung
Expert Systems with Applications 141, 112950, 2020
An analysis on movement patterns between zones using smart card data in subway networks
K Kim, K Oh, YK Lee, SH Kim, JY Jung
International Journal of Geographical Information Science 28 (9), 1781-1801, 2014
Data-driven simulation for general-purpose multibody dynamics using Deep Neural Networks
HS Choi, J An, S Han, JG Kim, JY Jung, J Choi, G Orzechowski, A Mikkola, ...
Multibody System Dynamics 51, 419-454, 2021
Convolutional autoencoder-based SOH estimation of lithium-ion batteries using electrochemical impedance spectroscopy
J Obregon, YR Han, CW Ho, D Mouraliraman, CW Lee, JY Jung
Journal of Energy Storage 60, 106680, 2023
RuleCOSI: Combination and simplification of production rules from boosted decision trees for imbalanced classification
J Obregon, A Kim, JY Jung
Expert Systems with Applications 126, 64-82, 2019
Measuring entropy in business process models
JY Jung
2008 3rd International Conference on Innovative Computing Information and …, 2008
Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process
J Obregon, J Hong, JY Jung
Journal of Manufacturing Systems 60, 392-405, 2021
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