Abstract Machine learning and in particular deep learning techniques have demonstrated
the most efficacy in training, learning, analyzing, and modelling large complex structured …

This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …

This paper presents an exhaustive investigation into the potential of integrating blockchain
and Artificial Intelligence (AI) technologies within aerospace engineering, explicitly …

This study utilizes transfer learning (TL) to enhance long-term atmospheric corrosion
predictions. Using a Fe/Cu galvanic-type sensor, we gathered data in a controlled SAE …

Aquatic non-indigenous species (NIS) pose significant threats to biodiversity, disrupting
ecosystems and inflicting substantial economic damages across agriculture, forestry, and …

Major aviation organizations have highlighted the need to adopt artificial intelligence (AI) to
transform operations and improve efficiency and safety. However, the aviation industry …

In this paper, the enhancement of the D-Sight non-destructive testing technique was
proposed by enriching it with a possibility of quantification of hidden corrosion typical for …

Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …

Corrosion is a significant issue in a wide variety of industrial sectors. It's very important to
develop a reliable and speedy automatic corrosion detection technology. The present study …

Relying on physical methods for planning, research, design, manufacturing, test and use of
products or systems is usually constrained by time, space, cost and safety, leading to …