Browsing by Author "Kaynar O."
Now showing items 1-16 of 16
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Classification of Customer Demands by Organizational Workflows [Müsteri Taleplerinin Organizasyonel Is Akislarina Uygun Siniflandirilmasi]
Corporate firms that aim to be permanent in the long term should not lose existing customers and need to win new customers. The increase in the number of firms offering similar services also increases the alternatives for ... -
Comparison of graph based document summarization method [Çizge Tabanli Doküman Özetleme Yöntemlerinin Karşilaştirilmasi]
Kaynar O.; Işik Y.E.; Görmez Y.; Demirkoparan F. (Institute of Electrical and Electronics Engineers Inc., 2017)Today, with the development of the internet, documents containing information such as articles, news, web pages are produced and stored in digital environment. However, the increase in the number of media where people are ... -
Comparison of machine learning classifiers for protein secondary structure prediction [Protein ikincil yapi tahmini için makine ö?renmesi yöntemlerinin karşilaştirilmasi]
Aydin Z.; Kaynar O.; Görmez Y.; Işik Y.E. (Institute of Electrical and Electronics Engineers Inc., 2018)Three-dimensional structure prediction is one of the important problems in bioinformatics and theoretical chemistry. One of the most important steps in the three-dimensional structure prediction is the estimation of secondary ... -
Comparison of NR and UniClust databases for protein secondary structure prediction [Protein Ikincil Yapi Tahmini için NR ve UniClust Veri Tabanlarinin Karsilastirilmasi]
Three-dimensional structure prediction is one of the important problems in bioinformatics and theoretical chemistry. One of the most important steps in the three-dimensional structure prediction is the estimation of secondary ... -
Comparison of the effects dimensionalty methods in the training of neuro-fuzzy (ANFIS) classifications [Neuro-fuzzy(ANFIS) siniflayicilarinin e?itiminde farkli boyut indirgeme yöntemlerinin model performansi üzerindeki etkileri]
Yüksek A.G.; Arslan H.; Kaynar O. (Institute of Electrical and Electronics Engineers Inc., 2017)Adaptive Network Based Fuzzy Inference Systems (ANFIS) is a hybrid artificial intelligence method that uses artificial neural network models with parallel computing and learning features and fuzzy logic extraction. The ... -
Deep learning based recommender systems [Derin Ö?renme Tabanli Önerici Sistemler]
Akay B.; Kaynar O.; Demirkoparan F. (Institute of Electrical and Electronics Engineers Inc., 2017)In parallel with the rapid development of prospective systems in the last 20 years, many methods have been applied to this field. One of them is the deep learning networks that have attracted the interest of researchers ... -
Examining of single sign on protocols and a model of business application [Tekli Oturum Açma Protokollerinin İncelenmesi ve Kurumsal Uygulama Modeli]
Arslan H.; Karki H.D.; Yuksek A.G.; Kaynar O. (Institute of Electrical and Electronics Engineers Inc., 2017)Users have to require authentication with many times different a set of username and password which access various service providers and applications in their daily task and on social life. In this case, the user must need ... -
Fabric defect detection with LBP-GLMC [LBP-GLCM Yöntemleri ile Kumaş hata tespiti]
Kaynar O.; Işik Y.E.; Görmez Y.; Demirkoparan F. (Institute of Electrical and Electronics Engineers Inc., 2017)Fabric defect detection is vital for fabric quality. In the face of increasing fabric production, the fact that the detection of fabric faults by manpower is insufficient in terms of speed and quality has forced firms to ... -
Feature selection methods in sentiment analaysis [Duygu Analizinde Öznitelik Seçim Yöntemleri]
Kaynar O.; Arslan H.; Görmez Y.; Demirkoparan F. (Institute of Electrical and Electronics Engineers Inc., 2017)In today's technology, people are starting to share their opinions, ideas and feelings through many mediums because the internet is used extensively by every segment. These shares have become an important source of work ... -
Graph based automatic document summarization with different similarity methods [Farkli Benzerlik Yöntemleriyle Çizge Tabanli Otomatik Doküman Özetleme]
Today, with the rapid increase in the use of the internet, thousands of resources can be reached about an information that is interested. However, it is difficult and time consuming to determine which of these sources is ... -
Intrusion detection with autoencoder based deep learning machine [Oto kodlayici tabanli derin Ö?renme makinalari ile saldiri tespiti]
Kaynar O.; Yuksek A.G.; Gormez Y.; Isik Y.E. (Institute of Electrical and Electronics Engineers Inc., 2017)In changing and constantly evolving information age, together with the developments in computer and internet technology, the production, digitization, storage and sharing of information has become much easier than in the ... -
Mobil application for automatic document summarization systems [Otomatik doküman özetleme sistemleri için mobil uygulama]
Kaynar O.; Isik Y.E.; Gormez Y.; Kus E. (Institute of Electrical and Electronics Engineers Inc., 2018)Today, with the rapid development of internet and technology, the amount of information in the internet environment is increasing exponentially. Although increasing the number of texts with information is beneficial in ... -
A novel hybrid approach for sentiment classification of TURKISH tweets for GSM operators
The increase in the amount of content shared on social media makes it difficult to extract meaningful information from scientific studies. Accordingly, in recent years, researchers have been working extensively on sentiment ... -
NSEM: Novel Stacked Ensemble Method for Sentiment Analysis [NSEM: Duygu Analizi için özgün Yi?inlanmiş Topluluk Yöntemi]
Emre Isik Y.; Görmez Y.; Kaynar O.; Aydin Z. (Institute of Electrical and Electronics Engineers Inc., 2019)Today, people often share their ideas, opinions and feelings through forums, social media sites, blogs and similar platforms. For this reason, access to these data has become very easy. Increase in the number of shares ... -
A parasitic layer-based reconfigurable antenna design by multi-objective optimization
Yuan X.; Li Z.; Rodrigo D.; Mopidevi H.S.; Kaynar O.; Jofre L.; Cetiner B.A. (2012)A parasitic layer-based multifunctional reconfigurable antenna (MRA) design based on multi-objective genetic algorithm optimization used in conjunction with full-wave EM analysis is presented. The MRA is capable of steering ... -
Wind speed forecasting using reptree and bagging methods in Kirklareli-Turkey
In this study, an analysis was performed by examining the wind power potential of Ki{dotless}rklareli province which is in the west of Turkey. Statistical data between 2001 and 2007 was used in this study. The data was ...