Bölüm Öğretim Üyelerinin Uluslararası ve Ulusal Hakemli Dergilerde Yayınlanan Makaleleri

Prof. Dr. Ayşegül Alaybeyoğlu

• Özdemir, A., Alaybeyoglu, A., & Balbal, K. F. (2019). Bulanık Mantığın Eğitim Alanındaki Uygulamaları. Bilim Eğitim Sanat ve Teknoloji Dergisi, 3(1), 45-50.
• Alaybeyoglu, A., & Senel, B. C. (2018). A Mobile Application Using Fuzzy Sets to Decrease Road Traffic Accidents. Arabian Journal for Science and Engineering, 43(12), 7853-7868.
• Ozdemir, A., Alaybeyoglu, A., Mulayim, N., & Uysal, M. (2018). An intelligent system for determining learning style. International Journal of Research in Education and Science, 4(1), 208-214.
• Özdemir, A., Alaybeyoğlu, A., & Balbal, K. F. (2018). Gregorc Öğrenme Stili Modeli ile Öğrenme Stili Tespiti: Mühendislik Fakültesi Örneği. Bilim Eğitim Sanat ve Teknoloji Dergisi, 2(2), 115-123.
• Ozdemir, A., Alaybeyoglu, A., & Balbal, K. F. (2017). A design of educational computer game. Research Highlights in Education and Science 2017, 114.
• Ozdemir, A., Alaybeyoglu, A., Mulayim, N., & Balbal, K. F. (2016). Performance evaluation of learning styles based on fuzzy logic inference system. Computer Applications in Engineering Education, 24(6), 853-865.
• ALAYBEYOĞLU, A., KILIÇ, U., İREGÖL, A., & KONBUL, Y. (2016). Putting Urban Regeneration Projects in Order: An Example of a Decision Support System. Uludağ University Journal of The Faculty of Engineering, 21(2), 377-402.
• Alaybeyoglu, A. (2015). Transmission of image data using fuzzy logic based clustering infrastructure in mobile multimedia sensor networks. Journal of Intelligent & Fuzzy Systems, 28(3), 1235-1242.
• Alaybeyoglu, A. (2015). A distributed fuzzy logic-based root selection algorithm for wireless sensor networks. Computers & Electrical Engineering, 41, 216-225.
• Alaybeyoglu, A. (2015). An efficient Monte Carlo-based localization algorithm for mobile wireless sensor networks. Arabian Journal for Science and Engineering, 40(5), 1375-1384.
• Alaybeyoglu, A. (2015). A Distributed Image Compression Algorithm for Wireless Multimedia Sensor Networks. Adhoc & Sensor Wireless Networks, 26.
• BALBAL, K. F., MULAYIM, N., OZDEMIR, A., & ALAYBEYOGLU, A. (2015). A LEARNING STYLE INFERENCY SYSTEM BASED ON FUZZY LOGIC TECHNIQUE AND HONEY&MUMFORD’S LEARNING MODEL. The Eurasia Proceedings of Educational & Social Sciences, 2, 178-184.
• CINARLI, V., MULAYIM, N., OZDEMIR, A., & ALAYBEYOGLU, A. (2015). FUZZY LOGIC BASED GREGORC LEARNING SYSTEM. The Eurasia Proceedings of Educational & Social Sciences, 2, 185-191.
• Alaybeyoglu, A., Kantarci, A., & Erciyes, K. (2014). A dynamic lookahead tree based tracking algorithm for wireless sensor networks using particle filtering technique. Computers & Electrical Engineering, 40(2), 374-383.
• Basaran, I., & Alaybeyoglu, A. (2014). A New Distributed Location-Based Routing Algorithm for Wireless Sensor Networks. Cybernetics and Systems, 45(7), 599-616.
• Alaybeyoglu, A., Erciyes, K., & Kantarci, A. (2013). An adaptive cone based distributed tracking algorithm for a highly dynamic target in wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing, 12(2), 98-119.
• Alaybeyoglu, A. (2013). A distributed image compression algorithm based on a genetic algorithm based clustering infrastructure for mobile wireless multimedia sensor networks. Life Science Journal, 10(4).
• Alaybeyoglu, A. (2011). Energy Efficient Target Tracking with Particle Filtering Techmique in Wireless Sensor Networks. Mathematical and Computational Applications, 16(4), 809-818.
• Alaybeyoglu, A., Erciyes, K., Kantarci, A., & Dagdeviren, O. (2010). Tracking fast moving targets in wireless sensor networks. IETE Technical Review, 27(1), 46-53.
• KARDAŞ, G., ÇELİKEL, E., & ALAYBEYOĞLU, A. BİLGİSAYAR AĞLARINDA GÜVENLİ MESAJLAŞMA İÇİN AKILLI KART DESTEKLİ BİR SİSTEM MİMARİSİ. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 14(1), 31-40.

Doç. Dr. Aytuğ Onan

• Onan, A. (2019). Consensus clustering based approach to imbalanced learning, Scientific Programming, 2019, 1-14.
• Onan, A. (2018). Biomedical text categorization based on ensemble pruning and optimized topic modelling. Computational and Mathematical Methods in Medicine, 2018, 1-22.
• Onan, A. (2018). An ensemble scheme based on language function analysis and feature engineering for text genre classification. Journal of Information Science, 44(1),  28-47.
• Onan, A. (2018). Sentiment analysis on Twitter based on ensemble of psychological and linguistic feature sets. Balkan Journal of Electrical & Computer Engineering, 6(2), 1-9.
• Onan, A., Korukoğlu, S., & Bulut, H. (2017). A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification. Information Processing & Management, 53(4), 814-833.
• Onan, A., Bulut, H., & Korukoglu, S. (2017). An improved ant algorithm with LDA-based representation for text document clustering. Journal of Information Science, 43(2), 275-292.
• Onan, A. (2017). Hybrid supervised clustering based ensemble scheme for text classification. Kybernetes, 46(2), 330-348.
• Onan, A., & Korukoğlu, S. (2017). A feature selection model based on genetic rank aggregation for text sentiment classification. Journal of Information Science, 43(1), 25-38.
• Onan, A. (2016). Classifier and feature set ensembles for web page classification. Journal of Information Science, 42(2), 150-165.
• Onan, A., Korukoğlu, S., & Bulut, H. (2016). Ensemble of keyword extraction methods and classifiers in text classification. Expert Systems with Applications, 57, 232-247.
• Onan, A., Korukoğlu, S., & Bulut, H. (2016). A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification. Expert Systems with Applications, 62, 1-16.
• Onan, A., Korukoglu, S., & Bulut, H. (2016). LDA-based Topic Modelling in Text Sentiment Classification: An Empirical Analysis. Int. J. Comput. Linguistics Appl., 7(1), 101-119.
• Onan, A., Bal, V., & Yanar Bayam, B. (2016). The Use of Data Mining for Strategic Management: A Case Study on Mining Association Rules in Student Information System. Croatian Journal of Education: Hrvatski časopis za odgoj i obrazovanje, 18(1), 41-70.
• Onan, A. (2015). A Stochastic Gradient Descent Based SVM with Fuzzy-Rough Feature Selection and Instance Selection for Breast Cancer Diagnosis. Journal of Medical Imaging and Health Informatics, 5(6), 1233-1239.
• Onan, A. (2015). A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer. Expert Systems with Applications, 42(20), 6844-6852.
• Onan, A. (2018). Parçacık sürüsü eniyilemesine dayalı yığılmış genelleme yöntemi ve metin sınıflandırma üzerinde uygulanması. Akademik Platform Mühendislik ve Fen Bilimleri Dergisi, 6(2), 131-141.
• Onan, A. (2018). Metin belgesi kümelemede metasezgisel yöntemlere dayalı kümeleme algoritmaları. Akıllı Sistemler ve Uygulamaları Dergisi, 1(2), 206-212.
• Okyay, M.S., Alaybeyoğlu, A., & Onan, A. (2018). Yapay zeka tabanlı akıllı muhasebe Android mobil uygulama tasarımı. Akıllı Sistemler ve Uygulamaları Dergisi, 1(1), 111-116.
• Onan, A., Alaybeyoğlu, A., & Okyay, M.S. (2018). A design and application of Android mobile based smart business accounting software. Sakarya University Journal of Computer and Information Sciences, 1(1), 22-35.
• Onan, A. (2017). Twitter mesajları üzerinde makine öğrenmesi yöntemlerine dayalı duygu analizi. Yönetim Bilişim Sistemleri Dergisi, 3(2), 1-14.
• Onan, A., & Korukoğlu, S. (2016). Makine öğrenmesi yöntemlerinin görüş madenciliğinde kullanılması üzerine bir literatür araştırması. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 22(2), 111-122.
• Onan, A. (2015). Şirket iflaslarının tahmin edilmesinde karar ağacı algoritmalarının karşılaştırmalı başarım analizi. Bilişim Teknolojileri Dergisi, 8(1), 9-19.
• Onan, A. (2014). Promethee Sıralama Yönteminin Konut Projelerinin Değerlendirilmesinde Kullanılması. AKÜ İİBF Dergisi, XVI(1), 17-28.
• Onan, A. (2013). Metasezgisel yöntemler ve uygulama alanları. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 17(2), 113-128.