Yazar "Melek, Mesut" için listeleme
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An automatic EEG-based sleep staging system with introducing NAoSP and NAoGP as new metrics for sleep staging systems
Melek, Mesut; Manshouri, Negin; Kayikcioglu, Temel (Springer, 2021)Different biological signals are recorded in sleep labs during sleep for the diagnosis and treatment of human sleep problems. Classification of sleep stages with electroencephalography (EEG) is preferred to other biological ... -
Automatic sleep scoring system based on autoregressive model
Melek, Mesut (Institute of Electrical and Electronics Engineers Inc., 2021)Electroencephalography (EEG) signals recorded during sleep are divided into 30-second segments and analyzed by experts and classified into sleep stages, and in this way, diagnosis and treatment of diseases are made. ... -
Detection of 2D and 3D Video Transitions Based on EEG Power
Melek, Mesut; Manshouri, Negina; Kaylkcloglu, Temel (Oxford University Press, 2022)Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ... -
Detection of 2D and 3D Video Transitions Based on EEG Power
Melek, Mesut; Kayikcioglu, Temel; Manshouri, Negin (OXFORD UNIV PRESS, 2022)Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ... -
Detection of 2D and 3D Video Transitions Based on EEG Power
Manshouri, Negin; Melek, Mesut; Kayikcioglu, Temel (OXFORD UNIV PRESS, 2022)Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ... -
Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound
Melek, Mesut (Springer London Ltd, 2021)In the last month of 2019, a new virus emerged in China, spreading rapidly and affecting the whole world. This virus, which is called corona, is the most contagious type of virus that humanity has ever encountered. The ... -
The Efficacy of Frontal and Temporal Lobes in Detecting 2D&3D Video Transition Using EEG
Due to the three-dimensional (3D) structure of the human eye, 3D technology was used in this research. Transition to 2D and 3D analysis is important, claiming that binocular vision will lose dimension during fatigue. Thus, ... -
Low-Cost Brain-Computer Interface Using the Emotiv Epoc Headset Based on Rotating Vanes
Melek, Mesut; Manshouri, Negin; Kayikcioglu, Temel (Int Information & Engineering Technology Assoc, 2020)In the brain-computer interface system (BCI), electroencephalography (EEG) signals are converted into digital signals and analyzed, allowing direct communication between humans and the electronic devices around them. The ... -
Roza: a new and comprehensive metric for evaluating classification systems
Melek, Mesut; Melek, Negin (Taylor & Francis Ltd, 2021)Many metrics such as accuracy rate (ACC), area under curve (AUC), Jaccard index (JI), and Cohen's kappa coefficient are available to measure the success of the system in pattern recognition and machine/deep learning systems. ...
