There are three types of learning methodologies for data mining algorithms: supervised,
unsupervised, and semi-supervised. The algorithm in supervised learning works with a …

In this paper, it is aimed to analysis of Electrooculography (EOG) signals recorded during the
back to eye movement (retrieving words/re-reading) and skip** lines while reading. Two …

In this study, some machine learningclassification techniques are applied on Hepatitis data
set acquired from UCIMachine Learning Repository. Naïve Bayes Classifier, Logistic …

The neurological status of patients in the Intensive Care Units (ICU) is determined by the
Glasgow Coma Scale (GCS). Patients in coma are thought to be unaware of what is …

Electroencephalogram (EEG) is a non-invasive electrophysiological monitoring method
used for evaluation of electrical activity in the brain. EEG analysis is a useful tool for …

The neurological status of patients in the Intensive Care Units (ICU) is determined by the
Glasgow Coma Scale (GCS). Patients in coma are thought to be unaware of what is …

Navigation systems have become an indispensable part of our daily lives. In order for this to
be achieved, it is necessary to determine the local location. The most commonly used …