In recent decades, deep learning (DL) has become a rapidly growing research direction,
redefining the state-of-the-art performances in a wide range of techniques, such as object …

Abstract The Computational Fluid Dynamics (CFD) simulations at different fidelity levels are
a common tool for predicting the aerodynamic performance in many engineering …

This study introduces a deep learning surrogate model designed to predict the evolution of
the mean pressure coefficient on the back face of a Windsor body across a range of yaw …

In this work, a computationally efficient and high-precision nonlinear aerodynamic
configuration analysis method is presented for both design optimization and mathematical …

This paper presents an aircraft related application of interval type-3 (IT3) TS fuzzy system for
nonlinear aerodynamic modeling from recorded flight data. The theoretical base developed …

There is an increasing interest for unmanned aerial vehicles (UAVs) with mixed, multi-rotor
propulsion layouts able to assure desirable features of both fixed wing systems (efficiency …

Compliant and rigid linked mechanisms-actuated by servomotors-are workable approaches
to modify the airfoil camber by means of the deformation of the leading and/or trailing edge …

Membrane technology has become a crucial solution for treating produced water, playing a
vital role in resource recovery and environmental preservation. The use of advanced …

In this work we construct a surrogate model using artificial neural networks (ANN) to predict
the steady-state behavior of an unmanned combat aircraft. We employ various strategies to …

Predicting the performance of different electric vertical take-off and landing (eVTOL) vehicle
designs is paramount to vehicle manufacturers and hobbyists. These vehicles' maximum …