Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Şengül Bayrak"'
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
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
Publikováno v:
Uludağ University Journal of The Faculty of Engineering. :1431-1444
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://explore.openaire.eu/search/publication?articleId=doi_________::20ddbac3b95b46f68a2637574891cd02
https://doi.org/10.17482/uumfd.754577
https://doi.org/10.17482/uumfd.754577
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
https://doi.org/10.1007/978-981-19-2416-3_1
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
https://hdl.handle.net/20.500.12831/5865
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
https://aperta.ulakbim.gov.tr/record/230992
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
https://doi.org/10.1109/siu.2019.8806334
Publikováno v:
Computational Science and Its Applications – ICCSA 2018 ISBN: 9783319951645
ICCSA (2)
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
https://doi.org/10.1007/978-3-319-95165-2_8
Publikováno v:
Computational Science and Its Applications – ICCSA 2017 ISBN: 9783319623948
ICCSA (2)
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
https://doi.org/10.1007/978-3-319-62395-5_9