Journal of Navigation and Port Research

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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

Fishing Boat Rolling Movement of Time Series Prediction based on Deep Network Model: Donggyun Kim, Nam-Kyun Im; J Navig Port Res. 2023;47(6):376-385. Published online December 31, 2023; DOI: https://doi.org/10.5394/KINPR.2023.47.6.376; Full text PubReader ePub PDF

A Study on the User-Based Small Fishing Boat Collision Alarm Classification Model Using Semi-supervised Learning: Ho-June Seok, Seung Sim, Jeong-Hun Woo et al.; J Navig Port Res. 2023;47(6):358-366. Published online December 31, 2023; DOI: https://doi.org/10.5394/KINPR.2023.47.6.358; Full text PubReader ePub PDF

3D Mapping for Improving the Safety of Autonomous Driving in Container Terminals: Ngo Quang Vinh, Ji-Hoon Park, Hyeon-Soo Shin, Hwan-Seong Kim; J Navig Port Res. 2023;47(5):281-287. Published online October 31, 2023; DOI: https://doi.org/10.5394/KINPR.2023.47.5.281; Full text PubReader ePub PDF

A Study on the Prediction of Gate In-Out Truck Waiting Time in the Container Terminal: Yeong-Il Kim, Jae-Young Shin, Hyoung-Jun Park; J Navig Port Res. 2022;46(4):344-350. Published online August 31, 2022; DOI: https://doi.org/10.5394/KINPR.2022.46.4.344; Full text PubReader ePub PDF

Volume 48, No. 1

Journal of Navigation and Port Research

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

MOST VIEWED MOST CITED

2,213	Communication Failures During Chemical Tanker Cargo Operations
2,832	A Study on the Effects of Strategic Item Attributes on Strategic Partnership in Supplier Dominant Relationship-Focused on Shipbuilding Industry
2,000	A Study on Safety Assessment for Low-flashpoint and Eco-friendly Fueled Ship
2,140	Risk Assessment for Marine Pilot Occupational Accidents using Fault Tree and Event Tree Analysis
2,766	A Study on the Changes in Functions of Ship Officer and Manpower Training by the Introduction of Maritime Autonomous Surface Ships

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