J
Jasmin Kevric
Researcher at International Burch University
Publications - 49
Citations - 1400
Jasmin Kevric is an academic researcher from International Burch University. The author has contributed to research in topics: Computer science & Population. The author has an hindex of 11, co-authored 49 publications receiving 907 citations.
Papers
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Journal ArticleDOI
Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system
Jasmin Kevric,Abdulhamit Subasi +1 more
TL;DR: Results indicate that the proposed model has the potential to obtain a reliable classification of motor imagery EEG signals, and can thus be used as a practical system for controlling a wheelchair.
Journal ArticleDOI
Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction
TL;DR: A new model which is fully specified for automated seizure onset detection and seizure onset prediction based on electroencephalography (EEG) measurements is proposed which could outperform the state-of-the art models.
Journal ArticleDOI
Epileptic seizure detection using hybrid machine learning methods
TL;DR: It is shown that the proposed Hybrid SVM can reach a classification accuracy of up to 99.38% for the EEG datasets and is an efficient tool for neuroscientists to detect epileptic seizure in EEG.
Journal ArticleDOI
An effective combining classifier approach using tree algorithms for network intrusion detection
TL;DR: A combining classifier model based on tree-based algorithms for network intrusion detection based on the sum rule scheme can yield better results than individual classifiers, giving hope of better anomaly based intrusion detection systems in the future.
Book ChapterDOI
Diagnosis of Chronic Kidney Disease by Using Random Forest
TL;DR: A large number of patients diagnosed with chronic kidney disease do not have any known underlying cause of disease, and the prognosis is poor for those who do have a history of kidney disease.