1 citations · 1 across the 5 of their papers we have counts for
5 papers
Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network
Zumray Dokur, Tamer Olmez
It is observed that high classification performance is achieved for one- and two-dimensional signals by using deep learning methods. In this context, most researchers have tried to…
Generating Ten BCI Commands Using Four Simple Motor Imageries
Nuri Korkan, Tamer Olmez, Zumray Dokur
The brain computer interface (BCI) systems are utilized for transferring information among humans and computers by analyzing electroencephalogram (EEG) recordings.The process of me…
Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix
Tamer Ölmez, Zümray Dokur
DNN structures are continuously developing and achieving high performances in classification problems. Also, it is observed that success rates obtained with DNNs are higher than th…
Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network
Zumray Dokur, Tamer Olmez
Deep neural networks (DNNs) are observed to be successful in pattern classification. However, high classification performances of DNNs are related to their large training sets. Unf…
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning
Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid +5
Cardiovascular diseases (CVDs) are the main cause of deaths all over the world. Heart murmurs are the most common abnormalities detected during the auscultation process. The two wi…