Yazar "Günal, Serkan" için Bilgisayar Mühendisliği Bölümü listeleme
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Automated categorization scheme for digital libraries in distance learning: A pattern recognition approach
Günal, Serkan (2008)Digital libraries play a crucial role in distance learning. Nowadays, they are one of the fundamental information sources for the students enrolled in this learning system. These libraries contain huge amount of instructional ... -
Circular Traffic Sign Recognition empowered by Circle Detection Algorithm
Gündüz, Hüseyin; Kaplan, Selcan; Günal, Serkan; Akınlar, Cüneyt (IEEE, 2013)Automatic traffic sign detection and recognition is one of the most important components of advanced driver assistance systems. In this paper, a novel method utilizing histograms of oriented gradients based features together ... -
Circular traffic sign recognition empowered by circle detection algorithm [Daire tespit algoritmasi ile güçlendirilmis dairesel trafik isareti tanima]
Automatic traffic sign detection and recognition is one of the most important components of advanced driver assistance systems. In this paper, a novel method utilizing histograms of oriented gradients based features together ... -
Classifier Selection for RF Based Indoor Positioning
Bozkurt, Sinem; Günal, Serkan; Yayan, Uğur; Bayar, Veli (IEEE, 2015)The selection of appropriate classifier is of great importance in improving the positioning accuracy and processing time for indoor positioning. In this work, an extensive analysis is carried out to determine the most ... -
Classifier selection for RF based indoor positioning [RF Temelli Iç Ortam Konumlama için Siniflandirici Seçimi]
Bozkurt, Sinem; Günal, Serkan; Yayan, Uğur; Bayar, V. (Institute of Electrical and Electronics Engineers Inc., 2015)The selection of appropriate classifier is of great importance in improving the positioning accuracy and processing time for indoor positioning. In this work, an extensive analysis is carried out to determine the most ... -
A comparative study on machine learning algorithms for indoor positioning
Bozkurt, Sinem; Elibol, G.; Günal, Serkan; Yayan, Uğur (Institute of Electrical and Electronics Engineers Inc., 2015)Fingerprinting based positioning is commonly used for indoor positioning. In this method, initially a radio map is created using Received Signal Strength (RSS) values that are measured from predefined reference points. ... -
A Comparative Study on Machine Learning Algorithms for Indoor Positioning
Bozkurt, Sinem; Elibol, Gulin; Günal, Serkan; Yayan, Uğur (IEEE, 2015)Fingerprinting based positioning is commonly used for indoor positioning. In this method, initially a radio map is created using Received Signal Strength (RSS) values that are measured from predefined reference points. ... -
A computational morphological lexicon for Turkish: TrLex
Aslan, Özkan; Günal, Serkan; Dinçer, Bekir Taner (Elsevier Science BV, 2018)A morphological lexicon that is a computational source should be considered together with derivational morphology especially for agglutinative languages. To the best of our knowledge, in the Turkish language there has been ... -
Detection of SMS spam messages on mobile phones [Mobi·l telefonlarda i·stenmeyen SMS mesajlarinin beli·rlenmesi·]
In this study, a novel "SMS spam message filter" utilizing effective feature selection and pattern classification techniques is proposed. The proposed filter detects and filters out SMS spam messages in a smart manner ... -
ECG Based Biometric Authentication Using Ensemble of Features
Ergin, Semih; Uysal, Alper Kurşat; Günal, Efnan Sora; Günal, Serkan; Gülmezoğlu, M. Bilginer (IEEE, 2014)In this work, the efficacy of various features on electrocardiogram (ECG) based biometric authentication process is thoroughly examined. In particular, the features acquired from temporal analysis, wavelet transformation, ... -
EDTriangles: a high-speed triangle detection algorithm with a false detection control
Berkaya, Selcan Kaplan; Günal, Serkan; Akınlar, Cüneyt (Springer, 2018)We present a high-speed method for triangular object detection. The proposed method utilizes the recently developed, real-time edge segment detection algorithm, Edge Drawing; hence, the name EDTriangles, which consists of ... -
An F-Score-Weighted Indoor Positioning Algorithm Integrating WiFi and Magnetic Field Fingerprints
Keser, Sinem Bozkurt; Yazıcı, Ahmet; Günal, Serkan (Hindawi LTD, 2018)Indoor positioning systems have attracted much attention with the recent development of location-based services. Although global positioning system (GPS) is a widely accepted and accurate outdoor localization system, there ... -
Feature selection for power quality event classification [Güç kalitesi olaylarinin siniflandirilmasi için öznitelik seçimi]
Günal, Serkan; Edizkan, R.; Gerek, Ömer Nezih; Ece, D. G. (2008)Power quality events may result in interruption or malfunctioning of electrical equipments that are fed through the voltage line. Detection of such cases by monitoring the voltage waveform remains an important engineering ... -
Hybrid feature selection for text classification
Günal, Serkan (Tubitak Scientific & Technical Research Council Turkey, 2012)Feature selection is vital in the field of pattern classification due to accuracy and processing time considerations. The selection of proper features is of greater importance when the initial feature set is considerably ... -
A Hybrid Fingerprint Based Indoor Positioning with Extreme Learning Machine
Bozkurt Keser, Sinem; Yazıcı, Ahmet; Günal, Serkan (IEEE, 2017)Though global positioning system is a well-accepted technology for outdoor positioning, it is ineffective for indoor environment. Therefore, the search for effective and cheap solutions still continues. In this work, it ... -
A hybrid fingerprint based indoor positioning with extreme learning machine [Aşiri Ögrenme Makinesi ile Hibrid Parmakizi Tabanli iç Ortam Konumlandirma]
Keser, Sinem Bozkurt; Yazıcı, Ahmet; Günal, Serkan (Institute of Electrical and Electronics Engineers Inc., 2017)Though global positioning system is a well-accepted technology for outdoor positioning, it is ineffective for indoor environment. Therefore, the search for effective and cheap solutions still continues. In this work, it ... -
The Impact of Feature Extraction and Selection on SMS Spam Filtering
Uysal, Alper Kurşat; Günal, Serkan; Ergin, Semih; Günal, E. Sora (Kaunas University Technology, 2013)This paper investigates the impact of several feature extraction and feature selection approaches on filtering of short message service (SMS) spam messages in two different languages, namely Turkish and English. The entire ... -
The impact of preprocessing on text classification
Uysal, Alper Kurşat; Günal, Serkan (Elsevier Sci LTD, 2014)Preprocessing is one of the key components in a typical text classification framework. This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification ... -
The Impact of Text Representation and Preprocessing on Author Identification
Pak, Muhammet Yasin; Günal, Serkan (2017)Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text ... -
Induction Motor Fault Diagnosis via Current Analysis on Time Domain
Günal, Serkan; Ece, Doğan Gökhan; Gerek, Ömer Nezih (IEEE, 2009)This study proposes a novel approach to induction motor fault diagnosis through motor current analysis. Most of the previous works employing motor current analysis use spectral methods to extract required features for ...