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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Lee, Jaehak / Kim, Yonghwan / Lee, Jae-Hoon / Ahn, Yangjun (2024): Prediction of Wave-Induced Nonlinear Ship Motions Based on an IRF-LSTM Hybrid Approach. In: International Journal of Offshore and Polar Engineering, v. 34, n. 2 (1 June 2024).

    https://doi.org/10.17736/ijope.2024.sv11

  2. Lee, Jae-Hoon / Lee, Jaehak / Kim, Yonghwan / Ahn, Yangjun (2023): Application of Machine Learning for Prediction of Wave-induced Ship Motion. In: International Journal of Offshore and Polar Engineering, v. 33, n. 2 (1 June 2023).

    https://doi.org/10.17736/ijope.2023.mt33

  3. Ahn, Yangjun / Lee, Jeoungkyu / Park, Taehyun / Kim, Yonghwan / Kwon, Chang Seop / Jung, Jun Hyung / Choi, Mun-gwan / Kim, Sang-Yeob (2023): Long-term approach for assessment of sloshing loads in LNG carrier, Part I: Comparison of Short- and Long-term approaches. In: Marine Structures, v. 89 (May 2023).

    https://doi.org/10.1016/j.marstruc.2023.103381

  4. Ahn, Yangjun / Lee, Jeoungkyu / Park, Taehyun / Kim, Yonghwan (2023): Long-term approach for assessment of sloshing loads in LNG carrier, part II: Grouping method. In: Marine Structures, v. 89 (May 2023).

    https://doi.org/10.1016/j.marstruc.2023.103398

  5. Lee, Jeoungkyu / Ahn, Yangjun / Kim, Yonghwan / Jung, Junhyung (2022): Sloshing Phenomenon Occurring in the Foremost Two Tanks of LNG Carrier. In: International Journal of Offshore and Polar Engineering, v. 32, n. 4 (1 December 2022).

    https://doi.org/10.17736/ijope.2022.pf23

  6. Ahn, Yangjun / Kim, Yonghwan (2021): Data mining in sloshing experiment database and application of neural network for extreme load prediction. In: Marine Structures, v. 80 (November 2021).

    https://doi.org/10.1016/j.marstruc.2021.103074

  7. Ahn, Yangjun / Kim, Sang-Yeob / Kim, Jieung / Lee, Jeoungkyu / Kim, Yonghwan (2019): Experimental Comparison of Sloshing Loads on Weather Side and Lee Side for LNG Carrier Cargo Tanks. In: International Journal of Offshore and Polar Engineering, v. 29, n. 3 (1 September 2019).

    https://doi.org/10.17736/ijope.2019.jc742

  8. Ahn, Yangjun / Kim, Yonghwan / Kim, Sang-Yeob (2019): Experimental Study and Method of Sloshing Model Test Considering Gas-Liquid Density Ratio. In: International Journal of Offshore and Polar Engineering, v. 29, n. 3 (1 September 2019).

    https://doi.org/10.17736/ijope.2019.ts18

  9. Ahn, Yangjun / Kim, Yonghwan / Kim, Sang-Yeob (2019): Database of model-scale sloshing experiment for LNG tank and application of artificial neural network for sloshing load prediction. In: Marine Structures, v. 66 (July 2019).

    https://doi.org/10.1016/j.marstruc.2019.03.005

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