This review article explores how emerging generative artificial intelligence (GenAI) models,
such as large language models (LLMs), can enhance solution methodologies within process …

The morphing trailing-edge wing can adaptively change its shape according to the different
flight conditions, improving cruising efficiency. The control of the morphing trailing edge is a …

Recent advances in the field of machine learning open a new era in high performance
computing for challenging computational science and engineering applications. In this …

In recent years growing volumes of data have made the task of applying various machine
learning algorithms a challenge in a great number of cases. This challenge is posed in two …

Advancements in aircraft design and production necessitate exhaustive simulations of
critical components, such as landing gear, to ensure optimal performance and safety. This …

In industrial applications, real-time monitoring of the distributed parameter processes is a
difficult task, due to the infinite-dimensional nature and the nonlinear spatiotemporal …

This study establishes a method for recognizing the intentions of non-cooperative targets in
orbital dynamics using incomplete time series data. By leveraging a relative orbital dynamics …

The statistical analysis of civil aircraft accidents reveals that the highest incidence of
mishaps occurs during the approach and landing stages. Predominantly, these accidents …

Assessing handling qualities is crucial for ensuring the safety and operational efficiency of
aircraft control characteristics. The growing interest in Urban Air Mobility (UAM) has …

Approaches are presented to predict dynamic ditching loads on aircraft fuselages using
machine learning. The employed learning procedure is structured into two parts, the …