Machine Learning is an increasingly important technology dealing with the growing
complexity of the digitalised world. Despite the fact, that we live in a 'Big data'world where …

The convolutional neural network (CNN) has recently achieved great breakthroughs in many
computer vision tasks. However, its application in fabric texture defects classification has not …

Epilepsy detection is essential for patients with epilepsy and their families, as well as for
researchers and medical staff. The use of electroencephalogram (EEG) as a tool to support …

Acute bronchiolitis is the most common lower respiratory tract infection of infancy. About 2%
of infants under 12 months of age hospitalized with this condition each epidemic season …

In the partial discharge (PD) pattern recognition of power cables, the existing time–
frequency features often exert an impact on recognition accuracy because of insufficient …

Neurodegenerative diseases are common progressive nervous system disorders that show
intricate clinical patterns. The gait fluctuations reflect the physiology and pathologic …

Compared to traditional methods, artificial neural networks can achieve low-cycle fatigue life
more accurately when considering the effects of processes and environments on metal …

In this study, an attempt has been made to differentiate the muscle nonfatigue and fatigue
conditions using geometric features of surface Electromyography (sEMG) signals. For this …

Machine learning is an important utility of artificial intelligence that provides systems with the
capacity to automatically examine and enhance action without being specially programmed …

Neuro-degenerative disease is a common progressive nervous system disorder that leads to
serious clinical consequences. Gait rhythm dynamics analysis is essential for evaluating …