Výsledky vyhledávání - "Şengül Bayrak"

Akademický článek

CLASSIFICATION OF EPILEPTIC EEG SIGNALS BASED ON FINITE IMPULSE RESPONSE FILTER AND ARTIFICIAL NEURAL NETWORKS TRAINING ALGORITHMS

Autor: Eylem Yücel Demi̇rel, Şengül Bayrak, Rüya Şamlı

Publikováno v: Uludağ University Journal of The Faculty of Engineering, Vol 25, Iss 3, Pp 1431-1444 (2020)

The electroencephalogram is a powerful tool for understanding the electrical activities of the brain. The automatic and accurate classification of extracranial and intracranial electroencephalogram signals are significant for the evaluation of epilep

Externí odkaz: https://doaj.org/article/107852072f384567bda3bab9f74fd7fe

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Akademický článek

Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms

Autor: Yeliz Karaca, Carlo Cattani, Majaz Moonis, Şengül Bayrak

Publikováno v: Complexity, Vol 2018 (2018)

Multifractal denoising techniques capture interest in biomedicine, economy, and signal and image processing. Regarding stroke data there are subtle details not easily detectable by eye physicians. For the stroke subtypes diagnosis, details are import

Externí odkaz: https://doaj.org/article/45eb4c2514ff440ab56e18fbf9889d2a

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Sonlu Dürtü Yanıtı Filtresi ve Yapay Sinir Ağları Eğitim Algoritmaları tabanlı Epileptik EEG Sinyalinin Sınıflandırılması

Autor: Eylem Yücel Demirel, Rüya Şamli, Şengül Bayrak

Publikováno v: Uludağ University Journal of The Faculty of Engineering. :1431-1444

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::20ddbac3b95b46f68a2637574891cd02
https://doi.org/10.17482/uumfd.754577

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Methods for the Recognition of Multisource Data in Intelligent Medicine: A Review and Next-Generation Trends

Autor: Şengül Bayrak, EYLEM YÜCEL DEMIREL

Publikováno v: Next Generation Healthcare Informatics ISBN: 9789811924156

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5ef7a4188ea822c11f3b6370d9e86a8c
https://doi.org/10.1007/978-981-19-2416-3_1

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Epilepsy Radiology Reports Classification Using Deep Learning Networks

Autor: Eylem Yucel, Hidayet Takci, Şengül Bayrak

The automatic and accurate classification of Magnetic Resonance Imaging (MRI) radiology report is essential for the analysis and interpreta-tion epilepsy and non-epilepsy. Since the majority of MRI radiology reports are unstructured, the manual infor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1378475d8e6c40c969a5849660587a43
https://hdl.handle.net/20.500.12831/5865

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Classification Of Epileptic Electroencephalograms Using Time-Frequency And Back Propagation Methods

Autor: Eylem Yücel Demirel, Hidayet Takci, Rüya Şamli, Şengül Bayrak

Today, electroencephalography is used to measure brain activity by creating signals that are viewed on a monitor. These signals are frequently used to obtain information about brain neurons and may detect disorders that affect the brain, such as epil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac921774647f3d6c6477d7bb82a12d61
https://aperta.ulakbim.gov.tr/record/230992

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Classification of Extracranial and Intracranial EEG Signals by using Finite Impulse Response Filter through Ensemble Learning

Autor: Eylem Yucel, Hidayet Takci, Şengül Bayrak

Publikováno v: SIU

Electroencephalogram (EEG) is the main diagnostic tool for the monitoring, diagnosis and treatment of epilepsy which is a neurological disorder. EEG signals can disrupt easily by involuntary movements that are called artifact contaminants such as bli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::106daa20f76d5bf1ea36c5ba78aba7eb
https://doi.org/10.1109/siu.2019.8806334

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Classification of Erythematous - Squamous Skin Diseases Through SVM Kernels and Identification of Features with 1-D Continuous Wavelet Coefficient

Autor: Şengül Bayrak, Ahmet Sertbas, Yeliz Karaca

Publikováno v: Computational Science and Its Applications – ICCSA 2018 ISBN: 9783319951645
ICCSA (2)

Feature extraction is a kind of dimensionality reduction which refers to the differentiating features of a dataset. In this study, we have worked on ESD_Data Set (33 attributes), composed of clinical and histopathological attributes of erythematous-s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b09a58061ced257bdf45772b4f0c2587
https://doi.org/10.1007/978-3-319-95165-2_8

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The Classification of Turkish Economic Growth by Artificial Neural Network Algorithms

Autor: Şengül Bayrak, Yeliz Karaca, Emrullah Fatih Yetkin

Publikováno v: Computational Science and Its Applications – ICCSA 2017 ISBN: 9783319623948
ICCSA (2)

The development of globalization means that economies of the world are placing more importance on international trade. The increase in the variety of goods or services and the implementation of deregulation policies by many countries have made increa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c86a0347cb78aa6957cdea045d5752f4
https://doi.org/10.1007/978-3-319-62395-5_9

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