Journal of Navigation and Port Research

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Bankruptcy Prediction Models Based on Shipping Service Types: Min-Su Kwon; J Navig Port Res. 2024;48(6):547-553. Published online December 31, 2024; DOI: https://doi.org/10.5394/KINPR.2024.48.6.547; 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

Comparison of Prediction Accuracy Between Classification and Convolution Algorithm in Fault Diagnosis of Rotatory Machines at Varying Speed: Ki-Yeong Moon, Hyung-Jin Kim, Se-Yun Hwang, Jang Hyun Lee; J Navig Port Res. 2022;46(3):280-288. Published online June 30, 2022; DOI: https://doi.org/10.5394/KINPR.2022.46.3.280; Full text PubReader ePub PDF

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; DOI: https://doi.org/10.5394/KINPR.2022.46.1.33; Full text PubReader ePub PDF

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; DOI: https://doi.org/10.5394/KINPR.2021.45.3.165; Full text PubReader ePub PDF

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; DOI: https://doi.org/10.5394/KINPR.2018.42.6.395; Full text PubReader PDF

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; DOI: https://doi.org/10.5394/KINPR.2018.42.4.277; Full text PubReader PDF

Volume 49, No. 3

Journal of Navigation and Port Research

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

MOST VIEWED MOST CITED

20,266	Communication Failures During Chemical Tanker Cargo Operations
2,902	A Study on Trends of Key Issues in Port Safety at Busan Port
3,726	A Study on Impact of Factors Influencing Maritime Freight Rates Using Poisson and Negative Binomial Regression Analysis on Blank Sailings of Shipping Companies
1,711	Study of Korea Import and Export networks and Cohesion Analysis
3,588	A Study on Forecasting Manpower Demand for Smart Shipping and Port Logistics

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