Malte Mittendorf

Publications

• Hydrodynamic hull form optimization of fast catamarans using surrogate models
• Data-driven prediction of added-wave resistance on ships in oblique waves
• Towards the uncertainty quantification of semi-empirical formulas applied to the added resistance of ships in waves of arbitrary heading
• Uncertainty aware Prediction of Added Resistance using an Adapted Semi empirical Formula
• The Prediction of Sea State Parameters by Deep Learning Techniques using Ship Motion Data
• Performance Analysis of a Gas Carrier using Continual Learning in a Data Stream Context
• Sea state identification using machine learning—A comparative study based on in-service data from a container vessel
• On the Determination of the Relative Wave Direction based on Measured Ship Responses using Deep Multi-Task Learning
• Deep Learning-Based Sea State Estimation Using Sensor Data of Wave-Induced Ship Responses
• Assessment of added resistance estimates based on monitoring data from a fleet of container vessels
• Estimating Waves Through Measured Ship Responses
• Capturing the effect of biofouling on ships by incremental machine learning
• Wave spectrum estimation conditioned on machine learning-based output using the wave buoy analogy
• Data-driven Prediction of Added Resistance on Ships in Waves
• Hull and Propeller Performance Decomposition via an Adaptive Machine Learning Framework