Browsing by Author "Hekim, Mahmut"
Now showing items 1-19 of 19
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ANN-based classification of EEG signals using the average power based on rectangle approximation window
Hekim, Mahmut (Wydawnictwo Sigma-N O T Sp Z O O, 2012)In this study, EEG signals were classified by using the average powers extracted by means of the rectangle approximation window based average power method from the power spectral densities of frequency sub-bands of the ... -
The assessment of different bleaching agents' efficiency on discoloured teeth using image-processing methods
Ozkocak, Ismail; Hekim, Mahmut; Gokturk, Hakan; Adem, Kemal; Comert, Onur (Elsevier, 2020)Background: Although triple antibiotic paste (TAP) has been successfully used as an intracanal medicament for regenerative endodontic treatments, TAP has also been shown to cause discolouration. The aim of this study is ... -
The classification of EEG signals using discretization-based entropy and the adaptive neuro-fuzzy inference system
Hekim, Mahmut (2016)A novel feature extraction called discretization-based entropy is proposed for use in the classification of EEG signals. To this end, EEG signals are decomposed into frequency subbands using the discrete wavelet transform ... -
The Detection and Classification of Microcalcifications in the Visibility-Enhanced Mammograms Obtained by using the Pixel Assignment-Based Spatial Filter
Hekim, Mahmut; Aydin Yurdusev, Ayse; Oral, Canan (Univ Suceava, Fac Electrical Eng, 2019)In this paper, we proposed a computer aided diagnosis (CAD) system which has the pixel assignment-based a spatial filter to enhance the visibility of microcalcifications in mammograms. This filter first sums the absolute ... -
Detection of hemorrhage in retinal images using linear classifiers and iterative thresholding approaches based on firefly and particle swarm optimization algorithms
Adem, Kemal; Hekim, Mahmut; Demir, Selim (2019)We propose a novel iterative thresholding approach based on firefly and particle swarm optimization to be used for the detection of hemorrhages, one of the signs of diabetic retinopathy disease. This approach consists of ... -
EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
Orhan, Umut; Hekim, Mahmut; Ozer, Mahmut (Pergamon-Elsevier Science Ltd, 2011)We introduced a multilayer perceptron neural network (MLPNN) based classification model as a diagnostic decision support mechanism in the epilepsy treatment. EEG signals were decomposed into frequency sub-bands using ... -
EPILEPTIC SEIZURE DETECTION USING ARTIFICIAL NEURAL NETWORK AND A NEW FEATURE EXTRACTION APPROACH BASED ON EQUAL WIDTH DISCRETIZATION
Orhan, Umut; Hekim, Mahmut; Ozer, Mahmut (Gazi Univ, Fac Engineering Architecture, 2011)In this study, we proposed a new feature extraction approach based on equal width discretization (EWD) method and used the statistical features obtained by means of this approach as the inputs of multilayer perceptron ... -
Epileptic Seizure Detection Using Probability Distribution Based On Equal Frequency Discretization
Orhan, Umut; Hekim, Mahmut; Ozer, Mahmut (Springer, 2012)In this study, we offered a new feature extraction approach called probability distribution based on equal frequency discretization (EFD) to be used in the detection of epileptic seizure from electroencephalogram (EEG) ... -
ESTIMATION OF TOURISM INDICATORS BY ANFIS METHOD IN TURKEY
Dinç, Hüseyin; Yayar, Rüştü; Hekim, Mahmut (2017)Dünya'da refah düzeyinin artması ile birlikte turizm faaliyetlerine katılan insan sayısı da artmıştır. Sayının artması yeni yatırımlarla birlikte yeni çözümler, yeni politikalar ve yeni uygulamaları zorunlu kılmıştır. Bu ... -
Gravitational Fuzzy Clustering
Orhan, Umut; Hekim, Mahmut; Ibrikci, Turgay (Springer-Verlag Berlin, 2008)Data clustering is an important part of cluster analysis. Numerous clustering algorithms based on various theories have been developed, and new algorithms continue to appear in the literature. In this paper, supposing that ... -
A hybrid model based on the convolutional neural network model and artificial bee colony or particle swarm optimization-based iterative thresholding for the detection of bruised apples
Hekim, Mahmut; Cömert, Onur; Adem, Kemal (2020)In this study, apple images taken with near-infrared (NIR) cameras were classified as bruised and healthy objects using iterative thresholding approaches based on artificial bee colony (ABC) and particle swarm optimization ... -
Image processing based quality control of the impermeable seams in multilayered aseptic packages
Adem, Kemal; Orhan, Umut; Hekim, Mahmut (Pergamon-Elsevier Science Ltd, 2015)Multilayered aseptic material which guarantees the extended shelf life of liquid foods is turned into an impermeable package by folding packaging machines. Some problems in the machines causes the packages to lose the ... -
Mechanical fault detection in permanent magnet synchronous motors using equal width discretization-based probability distribution and a neural network model
Akar, Mehmet; Hekim, Mahmut; Orhan, Umut (2015)Abstract: This paper focuses on detecting the static eccentricity and bearing faults of a permanent magnet synchronous motor (PMSM) using probability distributions based on equal width discretization (EWD) and a multilayer ... -
Prediction of Gold Prices Using Artificial Neural Networks
Adem, Kemal; Cömert, Onur; Zengin, Numan; Hekim, Mahmut (2017)Gold, which has fulfilled the functions that money has in the past years, is now mostly used as a means of saving. Gold has been an investment instrument for Turkish society for many years. In addition, it is perceived as ... -
Rüzgar Türbini Arızalarını Belirlemek İçin Bazı Prognostik ve Diagnostik Metodlar
Emeksiz, Cem; Doğan, Zafer; Akar, Mehmet; Hekim, Mahmut (2017)Yenilenebilir enerji kaynakları arasında yer alan rüzgar enerjisi son yıllarda dünya tarafından desteklenmektedir. Özellikle yüksek enerji üretim kapasitesinden dolayı rüzgar çiftliklerinin sayısı gün geçtikçe artmaktadır. ... -
Sermaye yapısını etkileyen faktörler ve finansal oranlar ile hisse getirisi arasındaki ilişkinin ANFIS yöntemi ile incelenmesi: İMKB 100’de bir uygulama
Bu çalışmada, şirket hisselerinin getiri oranı (HGO) uyarlamalı sinirsel bulanık sonuç çıkarım sistemi (ANFIS) yardımıyla tahmin edilmiştir. Bu amaç için, ANFIS’in giriş ve çıkış değişkenleri için hazırlanan finansal oranlar ... -
The Speed and Torque Control of Direct Current Servo Motors by using Cascade Fuzzy PI Controller
Akar, Mehmet; Hekim, Mahmut; Temiz, Ismail; Dogan, Zafer (Wydawnictwo Sigma-N O T Sp Z O O, 2012)Direct current servo motors (DCSMs) are frequently used in the areas of industry which require different operating conditions. Traditional PI controllers with constant coefficients are not sufficient for the speed and ... -
Supervised Gravitational Clustering with Bipolar Fuzzification
Orhan, Umut; Hekim, Mahmut; Ibrikci, Turgay (Springer-Verlag Berlin, 2008)Data clustering is an important part of cluster analysis. Numerous semi-supervised or supervised clustering algorithms based on various theories have been developed, and new clustering algorithms continue to appear in the ... -
Weight and Diameter Estimation Using Image Processing and Machine Learning Techniques on Apple Images
Cömert, Onur; Hekim, Mahmut; Adem, Kemal (2017)Classification of table fruits according to size is traditionally hand made. But human factors are the cause of faulty classifications. Automatically performing this process with the machines is important in terms of ...
