Showing results 3 to 10 of 10
Deep Gaussian process models for integrating multifidelity experiments with nonstationary relationships Ko, Jongwoo; Kim, Heeyoung, IISE TRANSACTIONS, v.54, no.7, pp.686 - 698, 2022-07 |
Early detection of vessel delays using combined historical and real-time information Kim, Sungil; Kim, Heeyoung; Park, Yongro, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, v.68, no.2, pp.182 - 191, 2017-02 |
Economic Analysis of the Dynamic Charging Electric Vehicle Jeong, Seung Min; Jang, Young Jae; Kum, Dongsuk, IEEE TRANSACTIONS ON POWER ELECTRONICS, v.30, no.11, pp.6368 - 6377, 2015-11 |
Modelling foot height and foot shape-related dimensions Xiong, Shuping; Goonetilleke, Ravindra S.; Witana, Channa P.; Au, Emily Yim Lee, ERGONOMICS, v.51, no.8, pp.1272 - 1289, 2008 |
On the number of principal components in high dimensions Jung, Sungkyu; Lee, Myung Hee; Ahn, Jeongyoun, BIOMETRIKA, v.105, no.2, pp.389 - 402, 2018-06 |
Stochastic kriging with biased sample estimates Chen, Xi; Kim, Kyoung-Kuk, ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, v.24, no.2, 2014-02 |
Tracking customer risk aversion Kong, Hyeongwoo; Yun, Wonje; Kim, Woo Chang, FINANCE RESEARCH LETTERS, v.54, 2023-06 |
Wind Field-Based Short-Term Turbine Response Forecasting by Stacked Dilated Convolutional LSTMs Woo, Seongcheol; Park, Junyoung; Park, Jinkyoo; Manuel, Lance, IEEE Transactions on Sustainable Energy, v.11, no.4, pp.2294 - 2304, 2020-10 |
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