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Department
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/Department of Information Technologies
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+90
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Internal
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34047
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Created
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2022-08-03 13:03:01 .
Last Modification
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2022-08-15 13:40:21 .
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Scopus ID :
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h-index :
4
Publons ID :
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Degree | Department/Program | Institute | Year |
UNDERGRADUATE STUDY | COMPUTER ENGINEERING | TOROS UNIVERSITY | 2017 |
POSTGRADUATE | COMPUTER ENGINEERING | MERSIN UNIVERSITY | 2019 |
POSTGRADUATE | COMPUTER ENGINEERING | MERSIN UNIVERSITY | 2024 |
Master Thesis
1. Determination of mental attention state with EEG based bci usingmachine learning methods, Supervisor: Dr. Çiğdem ACI, Mersin University, Graduate School of Natural and Applied Sciences, Computer Engineering Department, Mersin, Turkey, 2019.
Theses_001.pdf
International - SCI/SCI-Expanded category 4500
2019
6. KAYA, M.; ACI, Ç.; MISHCHENKO, Y. . ELSEVIER BV, 2019, 134, -. 1000 + 0 10.1016/j.eswa.2019.05.057
5. Acı, Ç.; Kaya, M. Distinguishing mental attention states of humans via an EEG-based passive BCI using machine learning methods. EXPERT SYSTEMS WITH APPLICATIONS, 2019, 134, 153-166. 500 + 0 https://www.sciencedirect.com/science/article/pii/S0957417419303926
4. KAYA, M.; MISHCHENKO, Y. . INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE), 2019, 66, -. 1000 + 0 10.1109/TBME.2018.2865941
2018
3. KAYA, M.; MISHCHENKO, Y. . SPRINGER SCIENCE AND BUSINESS MEDIA LLC, 2018, 5, -. 1000 + 0 10.1038/sdata.2018.211
2. KAYA, M. A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces. SCIENTIFIC DATA, 2018, 5, 1-16. 500 + 0
1. mishchenko, y.; Kaya, M. Developing a three-to six-state EEG-based brain–computer interface for a virtual robotic manipulator control. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2018, 66, 977-987. 500 + 0 https://ieeexplore.ieee.org/abstract/document/8438959
International - publications.sections.42 50
2015
1. mishchenko, y.; Kaya, M. Detecting the attention state of an operator in continuous attention task using EEG-based brain-computer interface. 23ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, 2015, 5, 232-235. 50 + 0 https://ieeexplore.ieee.org/abstract/document/7129802
National - Covered by ULAKBIM 300
2023
3. KAYA, M.; MISHCHENKO, Y. . TUBAV BILIM DERGISI, 2023, , -. 200 + 0
2018
2. mishchenko, y. Development of more efficient noninvasive brain machine interfaces. EEEAG, 2018, 3, 130-136. 0 + 0
2017
1. KAYA, M. Detection of right and left hand movement thoughts from eeg data using svm machine learning method for brain computer interface. TURK BILIM ARASTIRMA VAKFI , 2017, 3, 1-20. 100 + 0 https://dergipark.org.tr/en/download/article-file/340760
National - Manager 100
1. Proposal of New Generation Wide Network Topology for Universities, BAP, Project Number: 2024-AP5-5007, 8000000 TL, Manager, Continue... 100