Yazar "Oral C." için listeleme
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Classification of mammograms using multi layer neural network [Çok katmanli sinir a?i kullanarak mamogramlarin siniflandirilmasi]
Breast cancer is the most common cancer among women and the leading cause of cancer deaths in women. Mammography plays a major role in the early detection of breast cancer. In this study computer aided detection (CAD) ... -
Comparison of different classification methods for the preictal stage detection in EEG signals
In this study, we present an evaluation and comparison of the widely used linear discriminant analysis, k-Nearest neighbor algorithm, support vector machines, multi-layer perceptron neural network and decision tree ... -
Effects of dimension reduction in mammograms classification
Breast cancer is the most common type of cancer among women and causing deaths in women. In this paper, a CAD system is presented to investigate effects of dimension reduction for classifying mammograms. Proposed system ... -
Efficient Hand Movement Detection Using k-Means Clustering and k-Nearest Neighbor Algorithms
Bergil E.; Oral C.; Ergul E.U. (Springer Science and Business Media Deutschland GmbH, 2021)Purpose: Electromyography (EMG) signals are commonly used in prosthetic limb studies. We have proposed a system to detect six basic hand movements using unsupervised and supervised classification algorithms. In this study, ... -
An Evaluation of the Channel Effect on Detecting the Preictal Stage in Patients With Epilepsy
Bergil E.; Bozkurt M.R.; Oral C. (SAGE Publications Inc., 2021)Decreasing the processor load to an acceptable level challenges researchers as an important threshold in the study of real-time detection and the prediction of epileptic seizures. The main methods in overcoming this problem ...
