Xiao Lang

Showing 24 publications
Data-driven Ship Performance Models - - Emphasis on Energy Efficiency and Fatigue Safety
Statistical Modeling of Arctic Sea Ice Concentrations for Northern Sea Route Shipping
Data-driven ship fatigue assessment based on pitch and heave motions
VAE Based Non-Autoregressive Transformer Model for Sea Ice Concentration Forecast
Review of Different Propulsion Methods for Hybrid-Electric Propulsion Ship
A Machine Learning Ship's Speed Prediction Model and Sailing Time Control Strategy
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
Voyage optimization combining genetic algorithm and dynamic programming for fuel/emissions reduction
Development of speed-power performance models for ship voyage optimization
Impact of ship operations aided by voyage optimization on a ship’s fatigue assessment
A Statistical Arima Model to Predict Arctic Environment for NSR Shipping
A Practical Speed Loss Prediction Model at Arbitrary Wave Heading for Ship Voyage Optimization
Mechanical reliability of flexible power cables for marine energy
Benchmark Study of Supervised Machine Learning Methods for a Ship’s Speed-Power Prediction at Sea
A Statistical Arima Model to Predict Arctic Environment for NSR Shipping
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
How do you realize the most energy-efficient ship trip in practice?
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