Condition monitoring of rail transport systems has become a phenomenon of global interest
over the past half a century. The approaches to condition monitoring of various rail transport …

Within Artificial Intelligence, Deep Learning (DL) represents a paradigm that has been
showing unprecedented performance in image and audio processing by supporting or even …

The fourth edition of this bestselling textbook explains the principles of artificial intelligence
(AI) and its practical applications. Using clear and concise language, it provides a solid …

The alternating current field measurement (ACFM) technique can be applied for surface-
breaking fatigue crack detection and sizing; the link between the ACFM signal and crack …

In non-destructive testing of aerospace structures' defects, the tests reliability is a crucial
issue for guaranteeing security of both aircrafts and passengers. Most of the widely …

In industrial non-destructive evaluation (NDE), it is increasingly common for data acquisition
to be automated, driving a recent substantial increase in the availability of data. The …

Wooden railway sleeper inspections in Sweden are currently performed manually by a
human operator; such inspections are to large extent based on visual analysis. In this paper …

Continuous and digitized monitoring and automated inspection are key parts of modern
manufacturing and sustainment of aging infrastructure. The growing demand for these …

With the continuous promotion of Industry 4.0, the mass production of composites will be
entering Industry 4.0 in the near future. With respect to quality control, nondestructive testing …

This paper proposes an approach for the reliable identification of subsurface damages in
thermal images of concrete structures. The work explores how to mitigate false positives in …