Journal of Navigation and Port Research

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Development of Prediction Models for Container Stacking in Container Terminal: Do-Eun Lee, Jae-Young Shin; J Navig Port Res. 2025;49(1):54-59. Published online February 28, 2025; DOI: https://doi.org/10.5394/KINPR.2025.49.1.54; Full text PubReader ePub PDF

Prediciton Model for External Truck Turnaround Time in Container Terminal: Yeong-Il Kim, Jae-Young Shin; J Navig Port Res. 2024;48(1):27-33. Published online February 28, 2024; DOI: https://doi.org/10.5394/KINPR.2024.48.1.27; Full text PubReader ePub PDF

A Study on the Prediction of Fuel Consumption of a Ship Using the Principal Component Analysis: Young-Rong Kim, Gujong Kim, Jun-Bum Park; J Navig Port Res. 2019;43(6):335-343. Published online December 1, 2019; DOI: https://doi.org/10.5394/KINPR.2019.43.6.335; Full text PubReader PDF

Development of Marine Casualty Forecasting System (Ⅲ): Implementation of Three-Dimensional Visualization System: Jeong-Bin Yim; J Navig Port Res. 2004;28(1):17-22. Published online February 28, 2004; PDF

Development of Marine Casualty Forecasting System (Ⅱ): Implementation of Marine Casualty Prediction Model: Jeong-Bin Yim; J Navig Port Res. 2003;27(5):487-492. Published online December 31, 2003; PDF

Ocean Wave Forecasting and Hindercasting Method to Support for Navigational Safety of Ship: Seung-Ho Shin, Noriaki Hashimoto; J Navig Port Res. 2003;27(2):111-119. Published online June 30, 2003; PDF

Volume 50, No. 2

Journal of Navigation and Port Research

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

MOST VIEWED MOST CITED

3,810	A Frequency Domain Motion Response Analysis of Substructure of Floating Offshore Wind Turbine with Varying Trim
825	Conceptual Structuring of Empty Container Occurrence Mechanism : QTV (Quantity, Time, Variety) Perspective
811	Numerical Analysis of Resistance for a Benchmark Submarine Hull Form using OpenFOAM
773	Development of a Real-Time AIS System Using Open Source Technologies
766	The Effect of Business Diversification of Global Shipping Liner on Corporate Financial Performance Using Panel Regression Analysis

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