Oral Presentation Sessions

Wednesday, December 10

We17C

Applications of AI and ML 2

Oral,

Room 17 (Diamond II, 6F),

15:50~16:50

Chair: Dr. Dong-Cheon Baek (Korea Institute of Machinery and Materials)

We17C-1

15:50~16:02

P00103 Physics-Informed Probabilistic Machine Learning for Battery Degradation Diagnostics Under Dynamic Mechanical and Electrochemical Conditions

Xianglin Huang and Heung Soo Kim* (Dongguk University)

We17C-2

16:02~16:14

P00096 Application and Evaluation of a Reinforcement Learning-Based Adaptive Counterpulsation Control Using Pulsatile ECMO

Hyun Woo Jang, Seong-Min Kang, and Seong-Wook Choi* (Kangwon National University)

We17C-3

16:14~16:26

P00095 Spline Dimensional Decomposition via Gradient-Enhanced l₁-Minimization for High-Dimensional Uncertainty Quantification With Sparse Datasets

Eunho Heo* and Dongjin Lee (Hanyang University)

We17C-4

16:26~16:38

P00090 Uncertainty Quantification and Sampling Strategies for Efficient Design of Experiments

HanYi Jang, Yoojeong Noh*, and YoungJin Kang (Pusan National University), Han Kim, SeongHyeon Yun, and DaHye Yoo (LG Electronics)

We17C-5

16:38~16:50

P00086 Impact of Sampling Rate on Current Signal-Based Fault Detection and Diagnosis of PMSMs

Jaeha Lee, Yoojeong Noh*, Cheewoo Lee, and Hyeonmyeong Woo (Pusan National University), Heetae Jin and Gyungdae Min (Hanhwa Aerospace)