Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Yüksel Özbay"'
Autor:
Hakan Ahmet Ekmekci, Arzu Setenay Yılmaz, Muhammet Üsame Öziç, Yüksel Özbay, Özlem Seçil Kerimoğlu, Çetin Çelik, Şerefnur Öztürk
Publikováno v:
Türk Nöroloji Dergisi, Vol 22, Iss 2, Pp 73-79 (2016)
INTRODUCTION: Hyperemesis gravidarum (HG) is a disease characterized by excessive vomiting and nausea during pregnancy. It differs from normal pregnancy where simple nausea and vomiting are seen frequently with unknown cause. The place and role of th
Externí odkaz:
https://doaj.org/article/8161d5eaa17248b99aa72e2deb2815af
Autor:
Murat CEYLAN, Osman Nuri UCAN, Yüksel ÖZBAY, Rachid JENNANE, Gabriel AUFORT, Claude Laurent BENHAMOU
Publikováno v:
İstanbul Aydın Üniversitesi Dergisi, Vol 2, Iss 7, Pp 27-51 (2013)
Curve and surface thinning are widely-used skeletonization techniques for modeling objects in 3 dimensions. In the case of disordered porous media analysis, however, neither is really efficient since the internal geometry of the object is usually com
Externí odkaz:
https://doaj.org/article/4b7eb0491808483f952dde2643a3e635
Autor:
Şerefnur Öztürk, Yüksel Özbay, Hakan Ekmekçi, Özlem Seçil Kerimoğlu, Arzu Yılmaz, Çetin Çelik, Muhammet Üsame Öziç
Publikováno v:
Türk Nöroloji Dergisi, Vol 22, Iss 2, Pp 73-79 (2016)
WOS: 000379349600008
Objective: Hyperemesis gravidarum (HG) is a disease characterized by excessive vomiting and nausea during pregnancy. It differs from normal pregnancy where simple nausea and vomiting are seen frequently with unknown cause. T
Objective: Hyperemesis gravidarum (HG) is a disease characterized by excessive vomiting and nausea during pregnancy. It differs from normal pregnancy where simple nausea and vomiting are seen frequently with unknown cause. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93d40b6ab24aeb80a5992a2a766cf399
https://doi.org/10.4274/tnd.94695
https://doi.org/10.4274/tnd.94695
Publikováno v:
Volume: 23, Issue: 3 853-872
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
WOS: 000352476800017
Microcalcification detection is a very important issue in early diagnosis of breast cancer. Generally physicians use mammogram images for this task; however, sometimes analyzing these images become a hard task because of pro
Microcalcification detection is a very important issue in early diagnosis of breast cancer. Generally physicians use mammogram images for this task; however, sometimes analyzing these images become a hard task because of pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b87c69eba65471e04c55e8351be975d0
https://doi.org/10.3906/elk-1303-139
https://doi.org/10.3906/elk-1303-139
Autor:
Burak Yilmaz, Yüksel Özbay
Publikováno v:
Volume: 22, Issue: 6 1540-1563
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
WOS: 000344740600012
Brain magnetic resonance imaging (MRI) images support important information about brain diseases for physicians. Morphological alterations in brain tissues indicate the probable existence of a disease in many cases. Proper e
Brain magnetic resonance imaging (MRI) images support important information about brain diseases for physicians. Morphological alterations in brain tissues indicate the probable existence of a disease in many cases. Proper e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::461fcd71d35de10119f8c529eb3d5665
https://doi.org/10.3906/elk-1209-31
https://doi.org/10.3906/elk-1209-31
Publikováno v:
Expert Systems with Applications. 38:15595-15598
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9299b59f39192082e566aaa6c2dafed3
https://doi.org/10.1016/j.eswa.2011.07.001
https://doi.org/10.1016/j.eswa.2011.07.001
Publikováno v:
Expert Systems with Applications. 38:9744-9751
In this study, fuzzy clustering complex-valued neural network (FCCVNN) was proposed to classify portal vein Doppler signals recorded from 54 patients with cirrhosis and 36 healthy subjects. This proposed neural network is a new model for biomedical p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::605d2fe481c1480234ce05b56c54af21
https://doi.org/10.1016/j.eswa.2011.02.025
https://doi.org/10.1016/j.eswa.2011.02.025
Publikováno v:
Expert Systems with Applications. 38:1004-1010
This paper presents a new automated diagnostic system to classification of electrocardiogram (ECG) arrhythmias. The diagnostic system is executed using type-2 fuzzy c-means clustering (T2FCM) algorithm, wavelet transform (WT) and neural network. Meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6732b76a60a63a8ce687cc275b68702a
https://doi.org/10.1016/j.eswa.2010.07.118
https://doi.org/10.1016/j.eswa.2010.07.118
Autor:
Gulay Tezel, Yüksel Özbay
Publikováno v:
Digital Signal Processing. 20:1040-1049
In this study, new neural network models with adaptive activation function (NNAAF) were implemented to classify ECG arrhythmias. Our NNAAF models included three types named as NNAAF-1, NNAAF-2 and NNAAf-3. Activation functions with adjustable free pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54b06b23bfeacf2e2bc314f0e4c1c98b
https://doi.org/10.1016/j.dsp.2009.10.016
https://doi.org/10.1016/j.dsp.2009.10.016
Autor:
Yüksel Özbay, Ahmet Resit Kavsaoglu
Publikováno v:
Digital Signal Processing. 20:133-148
In this study, it is aimed to enhance the intelligibility of speech by canceling out the echo noise. For this purpose, the data transfer software, which is necessary for real time processing of voice signals, and the adaptive filtering algorithm soft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f4f26329186266b3117e62dce6c269
https://doi.org/10.1016/j.dsp.2009.05.001
https://doi.org/10.1016/j.dsp.2009.05.001