Kim, Ki Jong; Kim, Daegyoum, OCEAN ENGINEERING, 2024-07
Lee J.; Lee M.; Lee B.J.; Lee I., Knowledge-Based Systems, v.295, 2024-07
Ham, Junkyu; Song, Minho; Yoo, Janggon; Kim, Daegyoum, JOURNAL OF FLUIDS AND STRUCTURES, 2024-06
Kim, Iljeok; Kim, Sung Wook; Kim, Jeongsan; Huh, Hyunsuk; Jeong, Iljoo; Choi, Taegyu; Kim, Jeongchan; Lee, Seungchul, EXPERT SYSTEMS WITH APPLICATIONS, v.241, 2024-05
Yang B.; Wang X.; Cheng C.; Lee I.; Hu Z., Structures, v.63, 2024-05
Jeong, Jae-Hak; Lee, Bomi; Hong, Junki; Min, Changhee; Persad, Adelle Ria; Yang, Tae-Heon; Park, Yong-Hwa, Computers in Biology and Medicine, v.172, 2024-04
Moon, Jihoo; Mahravan, Ehsan; Kim, Daegyoum, PHYSICAL REVIEW FLUIDS, 2024-04
Kim, Jinwook; Kim, Kyoung Joong; Bae, Jun Hyuk; Jeong, Sangkwon, CRYOGENICS, v.139, 2024-04
Choi, Jae Hoon; Ryu, Hyemin; Sim, Gi-Dong, THIN-WALLED STRUCTURES, v.197, 2024-04
An, Junyong; Park, Seongmin; Jeon, Wonju, Scientific Reports, v.14, no.8764, 2024-04
Markov-Based Maintenance Planning Considering Repair Time and Periodic Inspection Lee, Seungchul; Li, Lin; Ni, Jun, JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, v.135, no.3, 2013-06 |
Hidden maintenance opportunities in discrete and complex production lines Gu, Xi; Lee, Seungchul; Liang, Xinran; Garcellano, Mark; Diederichs, Mark; Ni, Jun, EXPERT SYSTEMS WITH APPLICATIONS, v.40, no.11, pp.4353 - 4361, 2013-09 |
Stochastic maintenance opportunity windows for unreliable two-machine one-buffer system Lee, Seungchul; Gu, Xi; Ni, Jun, EXPERT SYSTEMS WITH APPLICATIONS, v.40, no.13, pp.5385 - 5394, 2013-10 |
Discovery of hidden maintenance opportunities in automotive assembly lines: MOW and GMOW Lee, Seungchul; Gu, Xi; Garcellano, Mark; Diederichs, Mark; Ni, Jun, INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v.68, no.9-12, pp.2611 - 2623, 2013-10 |
Matching pursuit of an adaptive impulse dictionary for bearing fault diagnosis Cui, Lingli; Wang, Jing; Lee, Seungchul, JOURNAL OF SOUND AND VIBRATION, v.333, no.10, pp.2840 - 2862, 2014-05 |
(n, N) type maintenance policy for multi-component systems with failure interactions Zhang, Zhuoqi; Wu, Su; Li, Binfeng; Lee, Seungchul, INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, v.46, no.6, pp.1051 - 1064, 2015-04 |
Experimental study on the life prediction of servo motors through model-based system degradation assessment and accelerated degradation testing Park, Bumsoo; Jeong, Haedong; Huh, Hyunseuk; Kim, Minsub; Lee, Seungchul, JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.32, no.11, pp.5105 - 5110, 2018-11 |
Analysis of cold compaction for Fe-C, Fe-C-Cu powder design based on constitutive relation and artificial neural networks Shin, Da Seul; Lee, Chi Hun; Kim, Suk Hyun; Park, Dong Yong; Oh, Joo Won; Gal, Chang Woo; Koo, Jin Mo; et al, POWDER TECHNOLOGY, v.353, pp.330 - 344, 2019-07 |
Steel Surface Defect Diagnostics Using Deep Convolutional Neural Network and Class Activation Map Lee, Soo Young; Tama, Bayu Adhi; Moon, Seok Jun; Lee, Seungchul, APPLIED SCIENCES-BASEL, v.9, no.24, 2019-12 |
Temperature Control Optimization in a Steel-Making Continuous Casting Process Using a Multimodal Deep Learning Approach Song, Gi Woung; Tama, Bayu Adhi; Park, Jaewan; Hwang, Jeong Yeon; Bang, Jonggeun; Park, Seong Jin; Lee, Seungchul, STEEL RESEARCH INTERNATIONAL, v.90, no.12, 2019-12 |
Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-Making Continuous Casting Process Lee, Soo Young; Tama, Bayu Adhi; Choi, Changyun; Hwang, Jong-Yeon; Bang, Jonggeun; Lee, Seungchul, IEEE ACCESS, v.8, pp.21953 - 21965, 2020 |
Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble Tama, Bayu Adhi; Im, Sun; Lee, Seungchul, BIOMED RESEARCH INTERNATIONAL, v.2020, 2020-04 |
Exponential promotion and suppression of bubble nucleation in carbonated liquid by modification of surface wettability Lee, Jeong-Won; Kim, Seongmin; Lee, Seungchul; Hwang, Woonbong, APPLIED SURFACE SCIENCE, v.512, 2020-05 |
Reliability-Enhanced Camera Lens Module Classification Using Semi-Supervised Regression Method Kim, Sung Wook; Lee, Young Gon; Tama, Bayu Adhi; Lee, Seungchul, APPLIED SCIENCES-BASEL, v.10, no.11, 2020-06 |
Development of Artificial Neural Network System to Recommend Process Conditions of Injection Molding for Various Geometries Lee, Chihun; Na, Juwon; Park, Kyongho; Yu, Hyeonjae; Kim, Jongsun; Choi, Kwonil; Park, Dongyong; et al, ADVANCED INTELLIGENT SYSTEMS, v.2, no.10, 2020-10 |
Deep learning-based phase prediction of high-entropy alloys: Optimization, generation, and explanation Lee, Soo Young; Byeon, Seokyeong; Kim, Hyoung Seop; Jin, Hyungyu; Lee, Seungchul, MATERIALS & DESIGN, v.197, 2021-01 |
Estimating the phase volume fraction of multi-phase steel via unsupervised deep learning Kim, Sung Wook; Kang, Seong-Hoon; Kim, Se-Jong; Lee, Seungchul, SCIENTIFIC REPORTS, v.11, no.1, 2021-03 |
Knowledge Integration into deep learning in dynamical systems: an overview and taxonomy Kim, Sung Wook; Kim, Iljeok; Lee, Jonghwan; Lee, Seungchul, JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.35, no.4, pp.1331 - 1342, 2021-04 |
Exploration of optimal microstructure and mechanical properties in continuous microstructure space using a variational autoencoder Kim, Yongju; Park, Hyung Keun; Jung, Jaimyun; Asghari-Rad, Peyman; Lee, Seungchul; Kim, Jin You; Jung, Hwan Gyo; et al, MATERIALS & DESIGN, v.202, 2021-04 |
Improved classification and localization approach to small bowel capsule endoscopy using convolutional neural network Hwang, Yunseob; Lee, Han Hee; Park, Chunghyun; Tama, Bayu Adhi; Kim, Jin Su; Cheung, Dae Young; Chung, Woo Chul; et al, DIGESTIVE ENDOSCOPY, v.33, no.4, pp.598 - 607, 2021-05 |
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