Search Results - "Özbay, Yüksel"

A New Approach to Detection of ECG Arrhythmias: Complex Discrete Wavelet Transform Based Complex Valued Artificial Neural Network by Ozbay, Yüksel

“…This paper presents the new automated detection method for electrocardiogram (ECG) arrhythmias. The detection system is implemented with integration of complex…”
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Hyperemesis Gravidarum and Cerebral Electrophysiology Determination of Cerebral Localization through Electroencephalography Signal Processing by Ekmekci, Hakan Ahmet, Setenay Yılmaz, Arzu, Öziç, Muhammet Üsame, Özbay, Yüksel, Kerimoğlu, Özlem Seçil, Çelik, Çetin, Öztürk, Şerefnur

“…Objective: Hyperemesis gravidarum (HG) is a disease characterized by excessive vomiting and nausea during pregnancy. It differs from normal pregnancy where…”
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Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network by Ceylan, Murat, Ceylan, Rahime, Özbay, Yüksel, Kara, Sadik

“…Summary Objective In biomedical signal classification, due to the huge amount of data, to compress the biomedical waveform data is vital. This paper presents…”
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A new method for classification of ECG arrhythmias using neural network with adaptive activation function by Özbay, Yüksel, Tezel, Gülay

“…In this study, new neural network models with adaptive activation function (NNAAF) were implemented to classify ECG arrhythmias. Our NNAAF models included…”
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Comparison of FCM, PCA and WT techniques for classification ECG arrhythmias using artificial neural network by Ceylan, Rahime, Özbay, Yüksel

“…Principal component analysis (PCA) and wavelet transform (WT) are two powerful techniques for feature extraction. In addition, fuzzy c-means clustering (FCM)…”
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Integration of type-2 fuzzy clustering and wavelet transform in a neural network based ECG classifier by Özbay, Yüksel, Ceylan, Rahime, Karlik, Bekir

“…This paper presents a new automated diagnostic system to classification of electrocardiogram (ECG) arrhythmias. The diagnostic system is executed using type-2…”
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A novel approach for classification of ECG arrhythmias: Type-2 fuzzy clustering neural network by Ceylan, Rahime, Özbay, Yüksel, Karlik, Bekir

“…This paper presents an improved classifier for automated diagnostic systems of electrocardiogram (ECG) arrhythmias. This diagnostic system consists of a…”
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Corrigendum to “Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease” [Expert Systems with Applications 38 (2011) 9744–9751] by Ceylan, Rahime, Ceylan, Murat, Özbay, Yüksel, Kara, Sadık

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A fuzzy clustering neural network architecture for classification of ECG arrhythmias by Özbay, Yüksel, Ceylan, Rahime, Karlik, Bekir

“…Accurate and computationally efficient means of classifying electrocardiography (ECG) arrhythmias has been the subject of considerable research effort in…”
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Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease by Ceylan, Rahime, Ceylan, Murat, Özbay, Yüksel, Kara, Sadık

“…► This paper focuses on an efficient method to diagnose cirrhosis disease. ► For this aim, Fuzzy Clustering Complex-Valued Neural network is used. ► The…”
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Prediction of sludge volume index bulking using image analysis and neural network at a full-scale activated sludge plant by Boztoprak, Halime, Özbay, Yüksel, Güçlü, Dünyamin, Küçükhemek, Murat

“…Sludge volume index parameter should be monitored daily for the performance of wastewater treatment plants. It was aimed to estimate this parameter using image…”
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A new approach for epileptic seizure detection using adaptive neural network by Tezel, Gülay, özbay, Yüksel

“…This paper presents new neural network models with adaptive activation function (NNAAF) to detect epileptic seizure. Our NNAAF models included three types…”
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A new method for segmentation of microscopic images on activated sludge by BOZTOPRAK, Halime, ÖZBAY, Yüksel

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Contrast enhancement using linear image combinations algorithm (CEULICA) for enhancing brain magnetic resonance images by YILMAZ, Burak, ÖZBAY, Yüksel

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An optimum algorithm for adaptive filtering on acoustic echo cancellation using TMS320C6713 DSP by Oezbay, Yueksel, Kavsaoolu, Ahmet Resit

“…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…”
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Detection of microcalcification in digitized mammograms with multistable cellular neural networks using a new image enhancement method: automated lesion intensity enhancer (ALIE) by CİVCİK, LEVENT, YILMAZ, BURAK, ÖZBAY, YÜKSEL, EMLİK, GANİME DİLEK

“…Microcalcification detection is a very important issue in early diagnosis of breast cancer. Generally physicians use mammogram images for this task; however,…”
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A New Method for Diagnosis of Cirrhosis Disease: Complex-valued Artificial Neural Network by Ozbay, Yüksel

“…In this study, complex-valued artificial neural network (CVANN) that is a new technique for biomedical pattern classification was proposed for classifying…”
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Effects of window types on classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network by Özbay, Yüksel, Ceylan, Murat

“…Abstract In this study, carotid artery Doppler ultrasound signals were acquired from left carotid arteries of 38 patients and 40 healthy volunteers. The…”
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Classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network by Ceylan, Murat, Ceylan, Rahime, Dirgenali, Fatma, Kara, Sadık, Özbay, Yüksel

“…Abstract In this study, carotid arterial Doppler ultrasound signals were acquired from left carotid arteries of 38 patients and 40 healthy volunteers. The…”
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A novel method for lung segmentation on chest CT images: complex-valued artificial neural network with complex wavelet transform by Yüksel, ÖZBAY, UÇAN, O. Nuri, CEYLAN, Murat, YILDIRIM, Erkan

“…Image segmentation is an important step in many computer vision algorithms. The objective of segmentation is to obtained an optimal region of convergences…”
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