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Prediction of Traffic Speed in a Container Terminal Using Yard Tractor Operation Data
Taekwang Kim, Gyoungyoung Heo, Hoon Lee, Kwang Ryel Ryu
J Navig Port Res. 2022;46(1):33-41.   Published online February 28, 2022
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Development of a New Munk-type Breaker Height Formula Using Machine Learning
Byung-Jong Choi, Hyung-Sik Nam, Kwang-Ho Lee
J Navig Port Res. 2021;45(3):165-172.   Published online June 30, 2021
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Prediction of Ship Roll Motion using Machine Learning-based Surrogate Model
Young-Rong Kim, Jun-Bum Park, Serng—Bae Moon
J Navig Port Res. 2018;42(6):395-405.   Published online December 1, 2018
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Detection of Ship Movement Anomaly using AIS Data: A Study
Jae-Yong Oh, Hye-Jin Kim, Se-Kil Park
J Navig Port Res. 2018;42(4):277-282.   Published online August 1, 2018
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Journal of Navigation and Port Research

Print ISSN: 1598-5725
Online ISSN: 2093-8470

  • 2,946 An Empirical Study on the Determinants of the Debt Repayment Capability of Shipping Firms in Recession
    2,741 A Study on Securing a Stable GM for Each Ship Type Considering the Ship's Operating Status
    1,117 A Study on Development of Machine-readable Platform for S-100 ECDIS
    2,430 Design and Assessment of Reliquefaction System According to Boil Off Gas Reliquefaction Rate of Liquefied Hydrogen Carrier
    1,685 Forecasting the Volume of Imported Passenger Cars at PyeongTaek·Dangjin Port Using System Dynamics



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