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Akademický článek

Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning

Autor: Athar Alazzawı, Saif Aljumaili, Adil Deniz Duru, Osman Nuri Uçan, Oğuz Bayat, Paulo Jorge Coelho, Ivan Miguel Pires

Publikováno v: PeerJ Computer Science, Vol 10, p e2170 (2024)

Schizophrenia is a severe mental disorder that impairs a person’s mental, social, and emotional faculties gradually. Detection in the early stages with an accurate diagnosis is crucial to remedying the patients. This study proposed a new method to

Externí odkaz: https://doaj.org/article/52f806c97db442ea87e164e90879aff8

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Akademický článek

Next Generation Dynamic Inter-Cellular Scheduler

Autor: Mert Yağcıoğlu, Oğuz Bayat

Publikováno v: International Journal of Electronics and Telecommunications, Vol vol. 65, Iss No 3, Pp 441-448 (2019)

Orthogonal frequency division multiple access (OFDMA) in Long Term Evolution (LTE) can effectively eliminate intra-cell interferences between the subcarriers in a single serving cell. But, there is more critical issue that, OFDMA cannot accomplish to

Externí odkaz: https://doaj.org/article/de8b11fe566140d0b00fc5c4117020d7

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Akademický článek

Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)

Autor: Ahmed M. A. Mohamed, Osman N. Uçan, Oğuz Bayat, Adil Deniz Duru

Publikováno v: Applied Bionics and Biomechanics, Vol 2020 (2020)

An electroencephalogram (EEG) is a significant source of diagnosing brain issues. It is also a mediator between the external world and the brain, especially in the case of any mental illness; however, it has been widely used to monitor the dynamics o

Externí odkaz: https://doaj.org/article/c28230f46cff41ce88e6ca4139c3f5b8

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