Feasibility investigation of tuned mass damper for vibration control of curved floating bridge in winds and waves.

The Development of a Machine Learning-Based Carbon Emission Prediction Method for a Multi-Fuel-Propelled Smart Ship by Using Onboard Measurement Data.

Global Path Planning for Autonomous Ship Navigation Considering the Practical Characteristics of the Port of Ulsan.

A supply chain-oriented model to predict crude oil import prices in South Korea based on the hybrid approach.

Parametric Study on Mooring System Design of Submerged Floating Tunnel under Extreme Wave and Seismic Excitation.

Coastal Air Quality Assessment through AIS-Based Vessel Emissions: A Daesan Port Case Study.

Ship Carbon Intensity Indicator Assessment via Just-in-Time Arrival Algorithm Based on Real-Time Data: Case Study of Pusan New International Port.

A Comparative Study of Machine Learning Models for Predicting Vessel Dwell Time Estimation at a Terminal in the Busan New Port

Port Digital Twin Development for Decarbonization: Case Study - Busan's Pusan New International Terminal

Ship Carbon Intensity Indicator Assessment by Just in Time Arrival Algorithm based on real-time data: Case Study – Pusan New International Port.