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Duc-Kien Thai
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 9
Top Topics
Small Sample
Harmony Search Algorithm
Linear Model
Class Imbalance
Top Venues
Eng. Comput.
Neural Comput. Appl.
Appl. Soft Comput.
Inf. Sci.
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Publications
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Quoc Hoan Doan
,
Behrooz Keshtegar
,
Seung-Eock Kim
,
Duc-Kien Thai
Generative adversarial networks for overlapped and imbalanced problems in impact damage classification.
Inf. Sci.
675 (2024)
Huy-Khanh Dang
,
Duc-Kien Thai
,
Seung-Eock Kim
Stochastic analysis of steel frames considering the material, geometrical and loading uncertainties.
Adv. Eng. Softw.
179 (2023)
Mahdi Hasanipanah
,
Behrooz Keshtegar
,
Duc-Kien Thai
,
Trung Nguyen-Thoi
An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting.
Eng. Comput.
38 (2) (2022)
Sy Hung Mai
,
Mohamed El Amine Ben Seghier
,
Phuong Lam Nguyen
,
Jafar Jafari-Asl
,
Duc-Kien Thai
A hybrid model for predicting the axial compression capacity of square concrete-filled steel tubular columns.
Eng. Comput.
38 (2) (2022)
Quoc Hoan Doan
,
Sy Hung Mai
,
Quang Thang Do
,
Duc-Kien Thai
A cluster-based data splitting method for small sample and class imbalance problems in impact damage classification.
Appl. Soft Comput.
120 (2022)
Mohamed El Amine Ben Seghier
,
Hocine Ouaer
,
Mohammed Abdelfetah Ghriga
,
Menad Nait Amar
,
Duc-Kien Thai
Hybrid soft computational approaches for modeling the maximum ultimate bond strength between the corroded steel reinforcement and surrounding concrete.
Neural Comput. Appl.
33 (12) (2021)
Quoc Hoan Doan
,
Tuong Le
,
Duc-Kien Thai
Optimization strategies of neural networks for impact damage classification of RC panels in a small dataset.
Appl. Soft Comput.
102 (2021)
Mahdi Hasanipanah
,
Debiao Meng
,
Behrooz Keshtegar
,
Nguyen Thoi Trung
,
Duc-Kien Thai
Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength.
Neural Comput. Appl.
33 (9) (2021)
Duc-Kien Thai
,
Tran Minh Tu
,
Tinh Quoc Bui
,
T.-T. Bui
Gradient tree boosting machine learning on predicting the failure modes of the RC panels under impact loads.
Eng. Comput.
37 (1) (2021)