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 …

Each vessel has its own way of sailing in the port region. Any autonomous vessel navigating
such a scene should be able to predict the trajectories of surrounding ships and adjust its …

The training function used in the ANN method, especially backpropagation, can produce
different forecasting accuracy, depending on the method parameters given and the data to …

Estimation of the effectiveness of Au nanoparticles concentration in peristaltic flow through a
curved channel by using a data driven stochastic numerical paradigm based on artificial …

Corrosion and cracking are two main reasons for failure of plates in ships and offshore
structures. In the current paper, the ultimate strength of plates with pitting corrosion and a …

Airplane manufacturers are frequently faced with formidable challenges to improving both
aircraft performance and customer safety. Ice accumulation on the wings of aircraft is one of …

In the present study, we investigate the effects of fixed and dynamic mesh methods on CFD
simulation of stepped planing craft. To this accomplishment, three different body forms of …

One of the most important steps in designing wind turbines is to find airfoils with better
performance. One of the major hurdles with parameterizing the entire airfoil shape …

Spherical pressure hull is a key buoyancy component of deep-sea submersibles. Corrosion
on the surface of spherical shell can significantly reduce its compression capacity. Pitting …

This article reflects on the use of computational intelligence technique based on feed-
forward nonlinear input–output artificial neural network for the prediction of pressure rise …