Electroencephalogram (EEG) signal classification is used in many applications. Typically,
this classification is implemented based on methods which consist of two steps. These steps …

A typical algorithm for signal classification consists of two steps: signal preliminary
transformation and classification itself. The procedures of preliminary transformation are used to …

The analysis of EEG signal is a relevant problem in health informatics, and its development
can help in detection of epileptic's seizures. The diagnosis is based on classification of EEG …

The development of the system's model is an important step in reliability analysis. The system's
model in reliability analysis similar to other knowledge areas is used as an explanatory …

A new algorithm for non-destructive diagnosis based on signal classification is proposed.
This algorithm permits classifying objects with different properties depending on signals …

Classification is one important and commonly used Machine Learning technique. The
classification effectiveness can be influenced by different factors and initial data used for the …

The development of information technology has had a significant impact on various areas of
human activity, including medicine. It has led to the emergence of the phenomenon of …

The analysis of ECG signals plays an important role in healthcare, particularly for the detection
of heart conditions such as arrhythmia, coronary artery disease, or heart attack. Accurate …

A structure function is one of the possible mathematical models of systems in reliability
engineering. A structure function maps sets of component states into system performance levels. …

Scientometric data from bibliographic and reference databases with a limited user interface
are used to analyze the effectiveness of the scientific staff, educational and educational …