Yangjun Ahn
- Prediction of Wave-Induced Nonlinear Ship Motions Based on an IRF-LSTM Hybrid Approach. Dans: International Journal of Offshore and Polar Engineering, v. 34, n. 2 (1 juin 2024). (2024):
- Application of Machine Learning for Prediction of Wave-induced Ship Motion. Dans: International Journal of Offshore and Polar Engineering, v. 33, n. 2 (1 juin 2023). (2023):
- Long-term approach for assessment of sloshing loads in LNG carrier, Part I: Comparison of Short- and Long-term approaches. Dans: Marine Structures, v. 89 (mai 2023). (2023):
- Long-term approach for assessment of sloshing loads in LNG carrier, part II: Grouping method. Dans: Marine Structures, v. 89 (mai 2023). (2023):
- Sloshing Phenomenon Occurring in the Foremost Two Tanks of LNG Carrier. Dans: International Journal of Offshore and Polar Engineering, v. 32, n. 4 (1 décembre 2022). (2022):
- Data mining in sloshing experiment database and application of neural network for extreme load prediction. Dans: Marine Structures, v. 80 (novembre 2021). (2021):
- Experimental Comparison of Sloshing Loads on Weather Side and Lee Side for LNG Carrier Cargo Tanks. Dans: International Journal of Offshore and Polar Engineering, v. 29, n. 3 (1 septembre 2019). (2019):
- Experimental Study and Method of Sloshing Model Test Considering Gas-Liquid Density Ratio. Dans: International Journal of Offshore and Polar Engineering, v. 29, n. 3 (1 septembre 2019). (2019):
- Database of model-scale sloshing experiment for LNG tank and application of artificial neural network for sloshing load prediction. Dans: Marine Structures, v. 66 (juillet 2019). (2019):