Search Results - "Yuksel, Emin"
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A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited–memory BFGS optimization algorithms
Published in Neurocomputing (Amsterdam) (29-11-2017)“…Working up with deep learning techniques requires profound understanding of the mechanisms underlying the optimization of the internal parameters of complex…”
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Edge detection in noisy images by neuro-fuzzy processing
Published in International journal of electronics and communications (01-02-2007)“…A novel neuro-fuzzy (NF) operator for edge detection in digital images corrupted by impulse noise is presented. The proposed operator is constructed by…”
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3
Accurate diagnosis of term–preterm births by spectral analysis of electrohysterography signals
Published in Computers in biology and medicine (01-04-2020)“…Preterm delivery contributes to an increased risk of fetal and maternal death as well as several health deficiencies, thereby requiring special care and…”
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4
Perceived impact of English medium instruction on transnational graduates in Türkiye: Insights from a mixed-methods study
Published in Journal of English for academic purposes (01-09-2024)“…This study explores the experiences and perceptions of transnational graduates from English medium instruction (EMI) programs at a Turkish higher education…”
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5
Performance improvement of deep neural network classifiers by a simple training strategy
Published in Engineering applications of artificial intelligence (01-01-2018)“…Improving the classification performance of Deep Neural Networks (DNN) is of primary interest in many different areas of science and technology involving the…”
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A median/ANFIS filter for efficient restoration of digital images corrupted by impulse noise
Published in International journal of electronics and communications (02-10-2006)“…A new operator for removing impulse noise from digital images is presented. The proposed operator is a hybrid filter constructed by combining four…”
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Deep feature extraction, dimensionality reduction, and classification of medical images using combined deep learning architectures, autoencoder, and multiple machine learning models
Published in Elektrik : Turkish journal of electrical engineering & computer sciences (01-01-2023)Get full text
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Classification of coronary artery disease data sets by using a deep neural network
Published in The eurobiotech journal (01-10-2017)“…In this study, a deep neural network classifier is proposed for the classification of coronary artery disease medical data sets. The proposed classifier is…”
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A hybrid neuro-fuzzy filter for edge preserving restoration of images corrupted by impulse noise
Published in IEEE transactions on image processing (01-04-2006)“…A new operator for restoring digital images corrupted by impulse noise is presented. The proposed operator is a hybrid filter obtained by appropriately…”
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Accurate Classification of Heart Sounds for Disease Diagnosis by A Single Time-Varying Spectral Feature: Preliminary Results
Published in 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT) (01-04-2019)“…Early detection of abnormal heart conditions helps reduce sudden cardiac deaths caused by cardiovascular diseases (CVDs). For this purpose, cardiac…”
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Conference Proceeding -
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Impulsive noise suppression from images with Jarque-Bera test based median filter
Published in International journal of electronics and communications (30-05-2005)“…A novel impulsive noise (IN) eliminator filter, entitled Jarque–Bera test based Median Filter (JM), which shows a high performance at the restoration of images…”
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Accurate Segmentation of Dermoscopic Images by Image Thresholding Based on Type-2 Fuzzy Logic
Published in IEEE transactions on fuzzy systems (01-08-2009)“…A novel thresholding-based segmentation approach for accurate segmentation of pigmented skin lesion images regarding malignant melanoma diagnosis has been…”
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13
Performance enhancement of image impulse noise filters by image rotation and fuzzy processing
Published in International journal of electronics and communications (01-04-2010)“…A novel filtering approach for improving the performances of recursive impulse noise filters is proposed. The method is based on the fact that the output of a…”
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14
Efficient Removal of Impulse Noise from Highly Corrupted Digital Images by a Simple Neuro-Fuzzy Operator
Published in International journal of electronics and communications (2003)“…A new neuro-fuzzy operator for removing impulse noise from highly corrupted digital images is presented. The proposed operator is very simple and comprises two…”
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A simple neuro-fuzzy method for improving the performances of impulse noise filters for digital images
Published in International journal of electronics and communications (01-12-2005)“…A novel method for improving the performances of impulse noise filters is presented. The method enhances the performance of an impulse noise filter in two…”
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16
Detail-Preserving Restoration of Impulse Noise Corrupted Images by a Switching Median Filter Guided by a Simple Neuro-Fuzzy Network
Published in EURASIP journal on advances in signal processing (15-11-2004)“…A new operator for the restoration of digital images corrupted by impulse noise is presented. The proposed operator is a simple recursive switching median…”
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17
A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization
Published in Applied soft computing (01-09-2018)“…•A hybrid optimization method is presented, combines the benefits of L-BFGS and ABC.•The proposed method can improve the quality of searching ability of the…”
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18
A simple generalized neuro-fuzzy operator for efficient removal of impulse noise from highly corrupted digital images
Published in International journal of electronics and communications (01-03-2005)“…A generalized neuro-fuzzy (NF) operator for removing impulse noise from highly corrupted digital images is presented. The fundamental building block of the…”
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Journal Article -
19
A Simple Neuro-Fuzzy Edge Detector for Digital Images Corrupted by Impulse Noise
Published in International journal of electronics and communications (01-01-2004)“…A new neuro-fuzzy edge detector for digital images corrupted by impulse noise is presented. The structure of the detector is very simple and comprises four…”
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20
Adaptive neuro-fuzzy inference system for speckle noise reduction in SAR images
Published in 2007 9th International Symposium on Signal Processing and Its Applications (01-02-2007)“…An adaptive neuro-fuzzy inference system (ANFIS) based method is proposed for speckle noise reduction in synthetic aperture radar (SAR) images. Before using…”
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Conference Proceeding