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국제학술대회논문
국내학술대회논문
Total 82건
1 페이지
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82
The 3rd Emerging Technologies in Mechanical Engineering
Dec 10-13, 2025
Unsupervised learning-based anomaly detection of time-series data for 6-axis industrial robots
Yazdani M.H., Azad M.M. and Kim H.S.
81
The 3rd Emerging Technologies in Mechanical Engineering
Dec 10-13, 2025
Feature importance and dimensionality reduction of biomarkers for improved model learning
Yar H. and Kim H.S.,
80
The 3rd Emerging Technologies in Mechanical Engineering
Dec 10-13, 2025
Physics-informed probabilistic machine learning for battery degradation diagnostics under dynamic mechanical and electrochemical conditions
Huang X. and Kim H.S.
79
The 3rd Emerging Technologies in Mechanical Engineering
Dec 10-13, 2025
Dual-temporal convolutional network-based anomaly detection in industrial robots
Elahi M.U., Azad M.M. and Kim H.S.
78
The 3rd Emerging Technologies in Mechanical Engineering
Dec 10-13, 2025
Physics-Informed neural network approach for lipid membrane morphology analysis
Khan R.T.A., Azad M.M., Kim C.I. and Kim H.S.
77
The 3rd Emerging Technologies in Mechanical Engineering
Dec 10-13, 2025
Damage detection of composite structures using probabilistic deep learning,” The 3rd Emerging Technologies in Mechanical Engineering
Azad M.M. and Kim H.S.
76
The 3rd Emerging Technologies in Mechanical Engineering
Dec 10-13, 2025
Mitigating Data Drift for Robust Anomaly Detection in In-Line Quality Control of Harness Manufacturing
Song J. and Kim H.S.
75
The 9th Asian Pacific Congress on Computational Mechanics/The 7th Australasian Conference on Computational Mechanics
Dec 7-10, 2025
Recent Progress on AI-based Damage Assessment of Composite Laminates
Kim H. S.
74
The 3rd China-Korea-Japan Joint Symposium on Composite Materials
Nov 22-24, 2025
Uncertainty Quantification in Structural Health Monitoring of Laminated Composite Structures
Muzammil M.A. and Kim H. S.
73
The 3rd China-Korea-Japan Joint Symposium on Composite Materials
Nov 22-24, 2025
Recent Progress on Local Damage Assessment of Composite Laminates using AI
Kim H. S.
72
17th Annual Conference of the Prognostics and Health Management Society
Oct 27-30, 2025
Deep Learning Based Remaining Useful Life Prediction of Lithium-Ion Batteries Using Early Cycle Degradation Features
Park K, Kim H. S.
71
17th Annual Conference of the Prognostics and Health Management Society
Oct 27-30, 2025
A Single Carbon Nanotube-paper Composite Electrode Sensor Based Brake Oil Degradation Detection
Cheon Y. Lee C. Chung J. and Kim H. S.
70
JSME -KSME Joint Symposium on Computational Mechanics & CAE 2025
Aug 21-23, 2025.
Local Damage Assessment of Composite Laminates using Global Structural Response
Kim H. S.
69
31st International Congress on Sound and Vibration (ICSV31)
July 6-11, 2025
Data-Efficient AI-Based Prognostics and Health Management for Wiring Harness Manufacturin
Song J. and Kim H. S.
68
31st International Congress on Sound and Vibration (ICSV31)
July 6-11, 2025
A vibration-based noise-resistant approach for delamination detection in composite structures
Muzammil M.A., Jung J. and Kim H. S.
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