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International Paper

Auto-Encoded Deep-Signed Distance Function (SDF): Implicit Neural Representation for Multi-topological 3D Marine Vehicle Hull Form Generation

Seo, J. and Lee, I., Engineering Applications of Artificial Intelligence

Field-Level Uncertainty Quantification for AI-Based Ship Hull Surface Pressure Prediction

Seo, J. and Lee, I., Journal of Marine Science and Engineering, vol. 14

A Numerical Analysis of the Propulsion Efficiency Improvement Effect of Pre-Swirl Flow Control Fins (FCF)

Kim, H., Hwangbo, S. M. and Lee, I., Results in Engineering, vol. 29

A U-Net based prediction of surface pressure and wall shear stress distributions for Suboff hull form family

Seok, Y., Seo, J. and Lee, I., Journal of Marine Science and Engineering, vol. 14

Prediction of added resistance in regular and irregular head waves for a 1800 TEU container ship using CFD

Park, Y., Choi, J-E., Yu, J-W. and Lee, I., vol. 342

Nonlinear Ocean Wave Energy Harvester: A Novel Mooring-Based Design for Enhanced Energy Conversion

Afsharfard, A., Lee, I. and Kim, K. C., Energy Conversion and Management, vol. 346

A machine-learning based prediction of wake distribution for feeder-class container ships with flow control fins

Lee, M-K. and Lee, I., Ocean Engineering, vol. 340

A U-net based reconstruction of high-fidelity simulation results for flow around a ship hull based on low-fidelity inviscid flow simulation

Kim, D., Seo, J. and Lee, I., International Journal of Naval Architecture and Ocean Engineering, vol. 17

Big data analysis of the speed performance of a 176k DWT bulk carrier in real operating conditions

Cho, Y. and Lee, I., Journal of Marine Science and Engineering, vol. 12

A Study on Ship Hull Form Transformation using Convolutional Autoencoder

Seo, J., Kim, D. and Lee, I., Journal of Computational Design and Engineering, vol. 11, pp. 34-48

Comparison of prediction methods for added power and propeller revolution for a 1800 TEU container ship using resistance tests in regular and irregular waves

Yu, J-W., Jeong, J., Kim, S-G., Choi, J-E. and Lee, I., vol. 288

Transfer Learning with Deep Neural Network toward the Prediction of Wake Flow Characteristics of Containerships

Lee, M-K. and Lee, I., Journal of Marine Science and Engineering, vol. 11

Development of a small-sized tanker with reduced greenhouse gas emission under in-service condition based on CFD simulation

Park, Y., Hwangbo, S. M., Yu, J-W., Cho, Y., Lee, J. H. and Lee, I., Ocean Engineering, vol. 286

Study Application of an Unmoored Ocean Wave Energy Harvester with Harmonic and Random Excitation

Afsharfard, A., Lee, I. and Kim, K. C., Energy Conversion and Management, vol. 293

Corroboration of the Toms Effect from a Frictional Drag Reducing Self-Polishing Copolymer

Park, H., Cho, D., Ha, J-W., Hwang, D-H., Park, R. H., Seo, W. and Lee, I., Scientific Reports, vol. 13

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