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Showing results 4 to 11 of 11

Machine-learning models to predict P-and S-wave velocity profiles for Japan as an example File File

Kim, Jisong , Kang, Jae-Do , Kim, Byungmin

Article Issue Date2023-10 View18
Memristor devices for neural networks File

Jeong, Hongsik , Shi, Luping

Article Issue Date2019-01 View15
Optimal decision making in post-hazard bridge recovery strategies for transportation networks after seismic events File File

Yoon, Sungsik , Suh, Wonho , Lee, Young-Joo

Article Issue Date2021-08 View17
Predicting the Properties of High-Performance Epoxy Resin by Machine Learning Using Molecular Dynamics Simulations File File

Choi, Joohee , Kang, Haisu , Lee, Ji Hee , Kwon, Sung Hyun , Lee, Seung Geol

Article Issue Date2022-07 View7
Prediction model for mechanical properties of lightweight aggregate concrete using artificial neural network File File

Yoon, Jin Young , Kim, Hyunjun , Lee, Young-Joo , Sim, Sung-Han

Article Issue Date2019-08 View9
Prediction of Lap Shear Strength and Impact Peel Strength of Epoxy Adhesive by Machine Learning Approach File File

Kang, Haisu , Lee, Ji Hee , Choe, Youngson , Lee, Seung Geol

Article Issue Date2021-04 View5
Training-Free Stuck-at Fault Mitigation for ReRAM-based Deep Learning Accelerators File

Quan, Chenghao , Fouda, Mohammed E. , Lee, Sugil , Jung, Giju , Lee, Jongeun , Eltawil, Ahmed , Kurdahi, Fadi

Article Issue Date2023-07 View15
수정된 선택적 확장 기법을 이용한 불연속 요소의 효율적 해석 File

이세민 , 강태훈 , 정하영

Article Issue Date2022-10 View12
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