Kurum Yazarı "Günal, Serkan" Scopus İndeksli Yayınlar Koleksiyonu İçin Listeleme
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A novel multi-sensor and multi-Topological database for indoor positioning on fingerprint techniques
Bozkurt, Sinem; Yazıcı, Ahmet; Günal, Serkan; Yayan, Uğur; İnan, Fatih (Institute of Electrical and Electronics Engineers Inc., 2015)In fingerprinting-based indoor positioning systems, Received Signal Strength (RSS) values are collected at predetermined reference points to construct a fingerprint map. A well-established fingerprint database plays an ... -
A novel probabilistic feature selection method for text classification
Uysal, Alper Kurşat; Günal, Serkan (Elsevier Science BV, 2012)High dimensionality of the feature space is one of the most important concerns in text classification problems due to processing time and accuracy considerations. Selection of distinctive features is therefore essential ... -
On circular traffic sign detection and recognition
Berkaya, Selcan Kaplan; Gündüz, Hüseyin; Özşen, Özgür; Akınlar, Cüneyt; Günal, Serkan (Pergamon-Elsevier Science LTD, 2016)Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and ... -
On constituent chunking for Turkish
Aslan, Özkan; Günal, Serkan; Dinçer, Bekir Taner (Elsevier Sci LTD, 2018)Chunking is a task which divides a sentence into non-recursive structures. The primary aim is to specify chunk boundaries and classes. Although chunking generally refers to simple chunks, it is possible to customize the ... -
On feature extraction for spam e-mail detection
Günal, Serkan; Ergin, Semih; Gülmezoğlu, M. Bilginer; Gerek, Ömer Nezih (Springer-Verlag Berlin, 2006)Electronic mail is an important communication method for most computer users. Spam e-mails however consume bandwidth resource, fill-up server storage and are also a waste of time to tackle. The general way to label an ... -
The search for optimal feature set in power quality event classification
Günal, Serkan; Gerek, Ömer Nezih; Ece, Doğan Gökhan; Edizkan, Rıfat (Pergamon-Elsevier Science LTD, 2009)The significance of detection and classification of power quality (PQ) events that disturbs the voltage and/or current waveforms in the electrical power distribution networks is well known. Consequently, in spite of a large ... -
Sentiment Classification based on Domain Prediction
Pak, Muhammet Yasin; Günal, Serkan (Kaunas University Technology, 2016)Sentiment classification has received increasing attention in recent years. Supervised learning methods for sentiment classification require considerable amount of labeled data for training purposes. As the number of domains ... -
Subspace based feature selection for pattern recognition
Günal, Serkan; Edizkan, Rıfat (Elsevier Science Inc, 2008)Feature selection is an essential topic in the field of pattern recognition. The feature selection strategy has a direct influence on the accuracy and processing time of pattern recognition applications. Features can be ... -
A survey on ECG analysis
Berkaya, Selcan Kaplan; Uysal, Alper Kurşat; Günal, Efnan Sora; Ergin, Semih; Günal, Serkan; Gülmezoğlu, M. Bilginer (Elsevier Sci LTD, 2018)The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the ECG signal has been analyzed and utilized for various purposes, such as measuring the heart rate, ... -
A survey on RF mapping for indoor positioning [Iç Ortam Konumlama Için RF Haritalama Üzerine Bir Derleme]
Bozkurt, Sinem; Yazıcı, Ahmet; Günal, Serkan; Yayan, Uğur (Institute of Electrical and Electronics Engineers Inc., 2015)In RF based indoor positioning systems, RF map is constructed by collecting Received Signal Strength (RSS) values from access points at predetermined reference points in the working area. RF map is calibrated in order to ... -
SWCD: a sliding window and self-regulated learning-based background updating method for change detection in videos
Işık, Şahin; Özkan, Kemal; Günal, Serkan; Gerek, Ömer Nezih (Is&T & Spie, 2018)Change detection with background subtraction process remains to be an unresolved issue and attracts research interest due to challenges encountered on static and dynamic scenes. The key challenge is about how to update ... -
Text classification using genetic algorithm oriented latent semantic features
Uysal, Alper Kurşat; Günal, Serkan (Pergamon-Elsevier Science LTD, 2014)In this paper, genetic algorithm oriented latent semantic features (GALSF) are proposed to obtain better representation of documents in text classification. The proposed approach consists of feature selection and feature ... -
Use of novel feature extraction technique with subspace classifiers for speech recognition
Günal, Serkan; Edizkan, Rıfat (IEEE, 2007)Speech recognition is one of the fast moving research areas in pervasive services requiring human interaction. Like any type of pattern recognition system, selection of the feature extraction method and the classifier play ...