Zobrazeno 1 - 10 of 32 pro vyhledávání: '"Ömer Türk"'
1
Akademický článek
Safe inhalational anesthetics in patients with coronary artery disease: Effects of sevoflurane and desflurane on ischemia-modified albumin levels
Autor: Celaleddin Soyalp, Ömer Türk, Ersoy Öksüz, Nureddin Yuzkat, Canan Demir, Halit Demir
Publikováno v: Van Tıp Dergisi, Vol 31, Iss 2, Pp 89-94 (2024)
INTRODUCTION: Sevoflurane and desflurane are commonly used anesthetic agents with known cardiac side effects. Ischemia-modified albumin (IMA) is a useful biomarker that increases in cardiac conditions. This study investigates the effects of desfluran
Externí odkaz: https://doaj.org/article/e153cce0cc1445a9a1e073431d778e90
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2
Akademický článek
One Dimensional Median Local Binary Pattern Based Feature Extraction For Classifying Epileptic EEG Signals
Autor: Ömer Türk, Mehmet Siraç Özerdem
Publikováno v: Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 5, Iss 3, Pp 97-107 (2017)
Electroencephalogram is an important data source that widely used in detecting epilepsy. In this study, EEG records consisting of five markers A, B, C, D, E that obtained from the database of Epilogy of Bonn University Epileptology Department was us
Externí odkaz: https://doaj.org/article/5845ddb64f1044088570b96068b92236
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3
Akademický článek
Epilepsy Detection by Using Scalogram Based Convolutional Neural Network from EEG Signals
Autor: Ömer Türk, Mehmet Siraç Özerdem
Publikováno v: Brain Sciences, Vol 9, Iss 5, p 115 (2019)
The studies implemented with Electroencephalogram (EEG) signals are progressing very rapidly and brain computer interfaces (BCI) and disease determinations are carried out at certain success rates thanks to new methods developed in this field. The ef
Externí odkaz: https://doaj.org/article/89bad0a0304e4d878eea66f1f9a4f0fe
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6
FPGA-Based Cosimulation of S-Box Constitution from Fractional Order Liu System
Autor: Muhammet Ali, Ömer TÜRK
Substitution box(S-box) has an important duty in encryption. In recent years plenty of S-box designs by chaotic systems have been studied. In this paper a high speed S-box constitution from fractional order Liu system on FPGA is proposed. The design
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26781bd75b2b75de3c5492eeefa9cad4
https://doi.org/10.21203/rs.3.rs-1783536/v1
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7
DETERMINATION OF EMOTIONAL STATUS FROM EEG TIME SERIES BY USING EMD BASED LOCAL BINARY PATTERN METHOD
Autor: Ömer Türk
Publikováno v: Volume: 10, Issue: 2 313-321
European Journal of Technique (EJT)
Although determining emotional states from brain dynamics has been a subject that has been studied for a long time, the desired level has not been reached yet. In this study, Empirical mode decomposition (EMD) based Local Binary Pattern (LBP) method
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0ba025c19208ed2cd81066be8db1a43
https://doi.org/10.36222/ejt.807971
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8
FPGA simulation of chaotic tent map-based S-Box design
Autor: Ömer TÜRK
The chaotic system has a characteristically random behavior by nature, and these systems have their own characteristics in a completely deterministic structure. This feature of a chaotic system makes it difficult to predict encryptions designed based
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::332e3b3d730f6f9d7663550f5c3de1ad
https://hdl.handle.net/20.500.12514/3116
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9
Akademický článek
Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images
Autor: Omer Turk, Davut Ozhan, Emrullah Acar, Tahir Cetin Akinci, Musa Yilmaz
Publikováno v: Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 278-290 (2024)
Today, as in every life-threatening disease, early diagnosis of brain tumors plays a life-saving role. The brain tumor is formed by the transformation of brain cells from their normal structures into abnormal cell structures. These formed abnormal ce
Externí odkaz: https://doaj.org/article/6e093f9bc8234eabb7d82073c602cb19
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10
The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data
Autor: Barış Metin, Çağlar Uyulan, Türker Tekin Ergüzel, Shams Farhad, Elvan Çifçi, Ömer Türk, Nevzat Tarhan
Publikováno v: Clinical EEG and Neuroscience. :155005942211372
Background: Bipolar disorder (BD) is a mental disorder characterized by depressive and manic or hypomanic episodes. The complexity in the diagnosis of Bipolar disorder (BD) due to its overlapping symptoms with other mood disorders prompted researcher
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d722c5a5345ec2c6cc56ea4283e25b16
https://doi.org/10.1177/15500594221137234
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