Xiao Lang
Showing 30 publications
Physics-informed machine learning models for ship speed prediction
Data-driven Ship Performance Models - - Emphasis on Energy Efficiency and Fatigue Safety
Statistical Modeling of Arctic Sea Ice Concentrations for Northern Sea Route Shipping
The Ext-3DJPS algorithm for ship path planning in the Arctic
The Ext-3DJPS algorithm for polar ship path planning
Study on the annual changing trend of Arctic Sea ice melting for mechant shipping
Power allocation influence on energy consumption of a double-ended ferry
Data-driven ship fatigue assessment based on pitch and heave motions
Review of Different Propulsion Methods for Hybrid-Electric Propulsion Ship
A Machine Learning Ship's Speed Prediction Model and Sailing Time Control Strategy
VAE Based Non-Autoregressive Transformer Model for Sea Ice Concentration Forecast
A Machine Learning Ship’s Speed Over Ground Prediction Model and Sailing Time Control Strategy
Comparison of supervised machine learning methods to predict ship propulsion power at sea
Mechanical reliability analysis of flexible power cables for marine energy
Benchmark Study of Supervised Machine Learning Methods for a Ship’s Speed-Power Prediction at Sea
Development of speed-power performance models for ship voyage optimization
A Practical Speed Loss Prediction Model at Arbitrary Wave Heading for Ship Voyage Optimization
Voyage optimization combining genetic algorithm and dynamic programming for fuel/emissions reduction
A Statistical Arima Model to Predict Arctic Environment for NSR Shipping
Impact of ship operations aided by voyage optimization on a ship’s fatigue assessment
Mechanical reliability of flexible power cables for marine energy
An integrated risk assessment model for safe Arctic navigation
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Showing 5 research projects
Hydropower operation and lifetime analysis
Machine learning for optimization of pump operation under transients in hydraulic turbine rigs
AI-enhanced energy efficiency measures for optimal ship operations to reduce GHG emissions
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