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71
Ensemble Method of Rule-Based and Deep Learning for Rotating Machine Diagnostics
Namjeong Lee, Sungmin Kim, Iljoo Jeong, Seokman Sohn, Seungchul Lee
Transactions on the Korean Society for Noise and Vibration Engineering, 2020
72
Image Recognition Algorithm for Maintenance Data Digitization: CNN and FCN
Kangsan Lee, Juwon Na, Jongduk Sohn, Seokman Sohn, Seungchul Lee
Transactions on the Korean Society for Noise and Vibration Engineering, 2020
73
Exponential Promotion and Suppression of Bubble Nucleation in Carbonated Liquid by Modification of Surface Wettability
Jeong-Won Lee, Seongmin Kim, Seungchul Lee, Woonbong Hwang
Applied Surface Science, 2020
74
Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-making Continuous Casting Process
Soo Young Lee, Bayu Adhi Tama, Changyun Choi, Jeong Yeon Hwang, Jonggeun Bang, Seungchul Lee
IEEE Access, 2020
75
Steel Surface Defect Diagnostics using Deep Convolutional Neural Network and Class Activation Map
Soo Young Lee, Bayu Adhi Tama, Seok Jun Moon, Seungchul Lee
Applied Sciences, 2019
76
Temperature Control Optimization in a Steel‐Making Continuous Casting Process Using Multimodal Deep Learning Approach
Gi Woung Song, Bayu Adhi Tama, Jaewan Park, Jeong Yeon Hwang, Jonggeun Bang, Seong Jin Park, Seungchul Lee
Steel Research International, 2019
77
A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images
Woosung Choi, Hyunsuk Huh, Bayu Adhi Tama, Gyusang Park, Seungchul Lee
IEEE Access, 2019
78
Artificial Intelligence in the Field of Electrodiagnosis – A New Threat or Heralding a New Era in Electromyography?
Juhyeong Jeon, Yeon Jae Han, Geun-Young Park, Deung Gyun Sohn, Seungchul Lee, Sun Im
Clinical Neurophysiology, 2019
79
Analysis of Cold Compaction for Fe-C, Fe-C-Cu Powder Design based on Constitutive Relation and Artificial Neural Networks
D. Shin, C. Lee, S. Kim, D. Park, J. Oh, C. Gal, J. Koo, S. Park, S. Lee
Powder Technology, 2019
80
Experimental Study on the Life Prediction of Servo Motors through Model-based System Degradation Assessment and Accelerated Degradation Testing
B. Park, H. Jeong, H. Huh, M. Kim, S. Lee
Journal of Mechanical Science and Technology, 2018
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