Explore innovative solutions for arctic shipping

Research Project, 2017 – 2020

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Information and Communication Technology

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Sustainable development

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Transport

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Energy

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Innovation and entrepreneurship

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Publications

A machine learning based Bayesian decision support system for efficient navigation of double-ended ferries

A Spectral Fatigue Assessment Framework for Floating Offshore Wind Turbines

The Ext-3DJPS algorithm for polar ship path planning

Study on the annual changing trend of Arctic Sea ice melting for mechant shipping

VAE Based Non-Autoregressive Transformer Model for Sea Ice Concentration Forecast

A Machine Learning Ship's Speed Prediction Model and Sailing Time Control Strategy

A Simplified Ship Wave Induced Added Resistance Calculation Method and Full-scale Measurements Validation in Head Sea

A semi-empirical model for ship speed loss prediction at head sea and its validation by full-scale measurements

Comparative Study on Two Statistical Wave Load Models and Their Application to Fatigue Assessment

Comparison of two statistical wave models for fatigue and fracture analysis of ship structures

Comparison between Full-scale Measurements and Theoretical Fuel Consumption Model in a Real Arctic Ship Navigation

A Three-Dimensional Dijkstra’s algorithm for multi-objective ship voyage optimization

A Spatio-Temporal Statistical Model to Simulate Long-Term Wave Environments along Ship Routes

Efficiency of a Voluntary Speed Reduction Algorithm for a Ship’s Great Circle Sailing

MetOcean Data Drived Voyage Optimization Using Genetic Algorithm

Stochastic spatio-temporal model for wind speed variation in the Arctic

Spatio-temporal modelling of wind speed variation

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