Abstract Machine learning (ML)-based techniques have found significant impact in many
fields of engineering and sciences, where data-sets are available from experiments and …

As increasing numbers of merchant ships navigate in the Arctic waters, more energy efficient
navigation in the Arctic is needed for both economic and environmental purposes. This …

In this work, a data-driven technique is proposed for efficient design exploration and
optimisation of the Kaplan turbine. To avoid the curse of dimensionality, the proposed …

Hull Vane (HV) is an energy-saving appendage introduced by Hull Vane BV company to
reduce total ship resistance. Shapewise, HV is a hydrofoil wing transversely fixed at the …

The design of high-speed amphibious vehicles needs to consider more factors compared to
ships. The efficiency of design and optimization of parameters will not be realized in the …

The article aims to design a calm water resistance predictor based on Machine Learning
(ML) Tools and develop a systematic series for battery-driven catamaran hullforms …

The attitude angles of a projectile moving through a liquid are important factors that
influence the dynamic failure of liquid-filled structures induced by hydrodynamic ram …

In order to estimate the installed propulsion power aboard a boat, naval and ocean
engineers make use of tools to assess the hull resistance through the water. It allows the …

Predictions of several minutes of phase-resolved waves ahead of time from the
measurements of wave-time-series at upstream locations are important for many marine …

A neural-network-based prediction of motion responses of a semi-submersible is presented
here. The fully connected neural networks and the long–short-term memory networks were …