In civil engineering structures, modal changes produced by environmental conditions,
especially temperature, can be equivalent to or greater than the ones produced by damage …

The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT)
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …

Damage detection in wood materials has numerous applications in different industries, such
as construction and forestry. Wood is generally a complex medium due to its orthotropic and …

Civil structures are affected by some environmental factors, such as traffic, ambient
temperature, and noises. The change of structural dynamic characteristics arising from these …

The Industry 4.0 revolution is insisting strongly for use of machine learning‐based processes
and condition monitoring. In this paper, emphasis is given on machine learning‐based …

Crack detection is important for compressor blades. Due to the interference of strong noise,
the existing methods based on single signal reach unsatisfactory performance. To improve …

This study aims to identify e‐commerce fraud, solve the financial risks of e‐commerce
enterprises through big data mining (BDM), further explore more effective solutions through …

In the current study, a new structural damage detection algorithm is presented using the
modified Hilbert–Huang transform and support vector machine. The modified Hilbert–Huang …

Color parameters were used in this study to develop a machine learning model for
predicting the mechanical properties of artificially weathered fir, alder, oak, and poplar wood …

The objective of this study was to evaluate the physical and mechanical properties of ancient
timber members by combining non-destructive testing (NDT), colour parameters, and …