Yazar "Yıldırım, Esen" için listeleme
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Analysis of functional brain connections for positive-negative emotions using phase locking value
Daşdemir, Yaşar; Yıldırım, Esen; Yıldırım, Serdar (Springer, 2017)In this study, we investigate the brain networks during positive and negative emotions for different types of stimulus (audio only, video only and audio + video) in , and bands in terms of phase locking value, a nonlinear ... -
Channel selection from EEG signals and application of support vector machine on EEG data
Arslan, Mustafa Turan; Eraldemir, Server Göksel; Yıldırım, Esen (Institute of Electrical and Electronics Engineers Inc., 2017)In this study, EEG data recorded during mental arithmetic operations and silent reading were analyzed by discrete wavelet transform and feature vectors were obtained. The obtained feature vectors are classified by Support ... -
Classification of EEG Signals in DepressedPatients
Eraldemir, Server Göksel; Kılıç, Ümit; Keleş, Mümine Kaya; Demirkol, Mehmet Emin; Yıldırım, Esen; Tamam, Lut (Balkan Journal of Electrical and Computer Engineering, 2020)Electroencephalography (EEG) are electrical signals that occur in every activity of the brain. Investigation of normal and abnormal changes that take place in the human brain using EEG signals is a widely used method in ... -
Çok çekirdekli işlemcilerde yeni bir paralel görüntü işleme yöntemi ve yöntemin yüz tanıma problemine uygulanması
Atasoy, Hüseyin (İskenderun Teknik Üniversitesi / Mühendislik ve Fen Bilimleri Enstitüsü / Elektrik-Elektronik Mühendisliği Anabilim Dalı, 2016)Artan işlemci hızları ve çekirdek sayıları, kısa süre içerisinde çok fazla işlem yapılmasını gerektiren programların gerçek zamanlı olarak çalıştırılabilmesinin önünü açmıştır. Ancak çekirdek sayılarındaki artış, performans ... -
LU triangularization extreme learning machine in EEG cognitive task classification
Kutlu, Yakup; Yayık, Apdullah; Yıldırım, Esen; Yıldırım, Serdar (Springer, 2019)Electroencephalography (EEG) has been used as a promising tool for investigation of brain activity during cognitive processes. The aim of this study is to reveal whether EEG signals can be used for classifying cognitive ... -
Orthogonal Extreme Learning Machine Based P300 Visual Event-Related BCI
Kutlu, Yakup; Yayık, Apdullah; Yıldırım, Esen; Yıldırım, Serdar (Springer, 2015)Brain Computer Interface (BCI) is a type of human-computer relationship research that directly translates electrical activity of brain into commands that can rule equipment and create novel communication channel for muscular ... -
A Real-Time Parallel Image Processing Approach on Regular PCs with Multi-Core CPUs
Atasoy, Hüseyin; Yıldırım, Esen; Yıldırım, Serdar; Kutlu, Yakup (Kauno Technologijos Universitetas, 2017)In this paper a parallel image processing and frame rate stabilization approach is proposed. This approach works on a regular PC with a multi-core CPU. It is implemented under. NET Framework and tested on Microsoft Windows ... -
Smart Robot Arm Motion Using Computer Vision
İşçimen, Bilal; Atasoy, Hüseyin; Kutlu, Yakup; Yıldırım, Serdar; Yıldırım, Esen (Kaunas University of Technology, 2015)In this study computer vision and robot arm are used together to design a smart robot arm system which can identify objects from images automatically and perform given tasks. A serving robot application, in which specific ... -
Webcam Based Real-Time Robust Optical Mark Recognition
Atasoy, Hüseyin; Yıldırım, Esen; Kutlu, Yakup; Tohma, Kadir (Springer, 2015)This study proposes a robust, low cost, real-time optical mark recognition (OMR) system that uses a webcam and a small OMR form to read hand-marked data from plain paper. The system is designed to read data from any ...