Over the past two decades, one-class classification (OCC) becomes very popular due to its
diversified applicability in data mining and pattern recognition problems. Concerning to …

Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system
caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …

An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of
epilepsy. The EEG signal contains information about the electrical activity of the brain …

The keys for the development of an effective classification algorithm are: 1) discovering
feature spaces with large margins between clusters and close proximity of the classmates …

A methodology is described for global and local health condition assessment of structural
systems using ambient vibration response of the structure collected by sensors. The model …

Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of
Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be …

Costly and time-consuming destructive methods are usually used to determine the
properties of alternative concrete mixtures. To reduce cost and time, statistical and neural …

Stress remains a significant social problem for individuals in modern societies. This paper
presents a machine learning approach for the automatic detection of stress of people in a …

Abstract An Earthquake Early Warning System (EEWS) can save lives. It can also be used to
manage the critical lifeline infrastructure and essential facilities. Recent research on …

Early and accurate diagnosis of Parkinson's disease (PD) remains challenging.
Neuropathological studies using brain bank specimens have estimated that a large …