This study presents a stacked autoencoder (SAE)-based assessment method which is one
of the unsupervised learning schemes for the investigation of bone fracture. Relatively …

In this study, a new diagnostic system is developed to easily identify bone fractures in non-
medical environments. It is difficult to determine the extent of cracks, fractures, and the …

Purpose The treatment of fractured bones is crucial for the recovery of injuries during the
healing process of femur fractures. Both qualitative and quantitative analyses are critical in …

One of the most promising candidates for a real-time SHM system for thin aircraft structures
is the Lamb wave-based inspection method. The Lamb wave-based SHM systems have a …

Computers have been shown to be valuable in every facet of human life, from banking and
online shopping to communication, education, research and development, and even …

The interest of researchers, clinicians, and industry in artificial intelligence (AI) continues to
grow, especially with recent deep-learning (DL) advances. Recent published reports have …

The use of acoustic emission (AE) for damage assessment and detection technique in
structural engineering is widely used and has earned a reputation as one of the reliable non …

Ensemble learning methods are one of the most powerful tools for the pattern classification
problems. In this paper, the effects of ensemble learning methods and some physical bone …

Reliable fracture diagnosis monitoring and analyzing low-frequency transverse vibration
data can be achieved through an in-depth understanding of the physical interactions …

In metallic structures, the first and second most frequent damages incurred are generally
cracks and corrosions. Correct damage classification for these two damages is important …