Kurum Yazarı "Günal, Serkan" Scopus İndeksli Yayınlar Koleksiyonu İçin 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 [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 [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 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 [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 ... -
Induction machine condition monitoring using notch-filtered motor current
Günal, Serkan; Ece, Doğan Gökhan; Gerek, Ömer Nezih (Academic Press LTD- Elsevier Science LTD, 2009)This paper presents a new approach to induction motor condition monitoring using notch-filtered motor current signature analysis (NFMCSA). Unlike most of the previous work utilizing motor current signature analysis (MCSA) ... -
Induction motor fault diagnosis via current analysis on time domain [Zaman bölgesinde akim analiziyle i·ndüksiyon motoru hata tespiti]
Günal, Serkan; Ece, D. G.; Gerek, Ömer Nezih (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 ... -
Integration of classification algorithms for indoor positioning system
Yazıcı, A.; Keser, Sinem Bozkurt; Günal, Serkan (Institute of Electrical and Electronics Engineers Inc., 2017)Positioning applications become more popular with the advancement of location aware services. Global Positioning System is a successful solution for outdoors whereas it is not suitable for indoor environments due to the ... -
A Low-Computational Approach on Gaze Estimation With Eye Touch System
Topal, Cihan; Günal, Serkan; Kocdeviren, Onur; Doğan, Atakan; Gerek, Ömer Nezih (IEEE-Inst Electrical Electronics Engineers Inc, 2014)Among various approaches to eye tracking systems, light-reflection based systems with non-imaging sensors, e.g., photodiodes or phototransistors, are known to have relatively low complexity; yet, they provide moderately ... -
A Multi-Criteria Decision Strategy to Select a Machine Learning Method for Indoor Positioning System
Yazıcı, Ahmet; Keser, Sinem Bozkurt; Günal, Serkan; Yayan, Uğur (World Scientific Publ Co Pte LTD, 2018)Indoor positioning system is an active research area. There are various performance metrics such as accuracy, computation time, precision, and f-score in machine learning based indoor positioning systems. The aim of this ... -
A novel framework for SMS spam filtering
A novel framework for SMS spam filtering is introduced in this paper to prevent mobile phone users from unsolicited SMS messages. The framework makes use of two distinct feature selection approaches based on information ...