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Young-Rong Kim
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Year
Development of a fuel consumption prediction model based on machine learning using ship in-service data
YR Kim, M Jung, JB Park
Journal of Marine Science and Engineering 9 (2), 137, 2021
732021
Global shipping emissions from a well-to-wake perspective: the MariTEAM model
D Kramel, H Muri, YR Kim, R Lonka, JB Nielsen, AL Ringvold, ...
Environmental science & technology 55 (22), 15040-15050, 2021
402021
A meta-model for added resistance in waves
YR Kim, E Esmailian, S Steen
Ocean Engineering 266, 112749, 2022
122022
A novel method for estimating missing values in ship principal data
Y Kim, S Steen, H Muri
Ocean Engineering 251, 110979, 2022
122022
Modelling of ship resistance and power consumption for the global fleet: The MariTEAM model
YR Kim, S Steen, D Kramel, H Muri, AH Strømman
Ocean Engineering 281, 114758, 2023
112023
Development of an evaluation procedure for seakeeping performance of high-speed planing hull using hybrid method
YR Kim, JB Park, JC Park, SK Park, WM Lee
Journal of the Society of Naval Architects of Korea 56 (3), 200-210, 2019
92019
Streamlined semi-automatic data processing framework for ship performance analysis
P Gupta, YR Kim, S Steen, A Rasheed
International Journal of Naval Architecture and Ocean Engineering 15, 100550, 2023
5*2023
Potential energy savings of air lubrication technology on merchant ships
YR Kim, S Steen
International Journal of Naval Architecture and Ocean Engineering 15, 100530, 2023
42023
A Study on a Small and Medium-sized Ship’s Collision Avoidance Support Model
WO Kim, SJ Kang, YR Kim, CJ Kim
Journal of Fisheries and Marine Sciences Education 31 (4), 1031-1038, 2019
42019
Prediction of Ship Roll Motion Using Machine Learning-based Surrogate Model
YR Kim, JB Park, SB Moon
Journal of Navigation and Port Research 42 (6), 395-405, 2018
22018
A new power prediction method using ship in-service data: A case study on a general cargo ship
E Esmailian, YR Kim, S Steen, K Koushan
Ship Technology Research, 2023
1*2023
Application of machine learning algorithms for predicting added resistance in arbitrary wave headings of a ship
YR Kim, S Steen
International Conference on Offshore Mechanics and Arctic Engineering 85901 …, 2022
12022
A novel bottom-up global ship emission inventory for conventional and alternative fuels in a well-to-wake approach
D Kramel, H Muri, YR Kim, R Lonka, J Bremnes Nielsen, ...
EGU General Assembly Conference Abstracts, EGU21-10144, 2021
12021
Modeling Operational Performance for the Global Fleet & Application of an Energy Saving Measure
Y Kim
NTNU, 2023
2023
A Study on Safer New Optimal Route for Anti-Collision in Coastal Waters
WO Kim, SJ Kang, YR Kim, CJ Kim
International Conference on Offshore Mechanics and Arctic Engineering 85895 …, 2022
2022
Correction to “Global Shipping Emissions from a Well-to-Wake Perspective: The MariTEAM Model”
D Kramel, H Muri, YR Kim, R Lonka, JB Nielsen, AL Ringvold, ...
Environmental Science & Technology 56 (9), 5999-6000, 2022
2022
A new global shipping air pollution and GHG emission inventory using the bottom-up, well-to-wake MariTEAM model
H Muri, D Kramel, YR Kim, R Lonka, J Nielsen, A Ringvold, E Bouman, ...
AGU Fall Meeting Abstracts 2021, GC43F-04, 2021
2021
A Study on the Prevention of Human Errors in a Small Fishing Craft
YR Kim, SJ Kang, WO Kim, CJ Kim
Journal of Fisheries and Marine Sciences Education 31 (6), 1544-1551, 2019
2019
Evaluation of Automatic Anti-Collision for a Boat using Collision Risk Zone
CJ Kim, WO Kim, SJ Kang, YR Kim
KR Patent 10-2,255,865, 2019
2019
Method and System for Evaluation Stability of Small Ship Based on Response
JB Park, YR Kim
KR Patent 10-20,522,830,000, 2019
2019
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