Hakkımda

A. International Publications indexed by SCI, SSCI, SCI-E

  1. Cömert, Z., Kocamaz, A. F., & Subha, V. (2018). Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment. Computers in biology and medicine.
  2. Cömert, Z., & Kocamaz, A. F. (2018). Open-access software for analysis of fetal heart rate signals. Biomedical Signal Processing and Control, 45, 98-108.
  3. Cömert, Z., and Kocamaz, A. F.,  (2017), “Comparison of Machine Learning Techniques for Fetal Heart Rate Classification” Acta Physica Polonica A, Vol. 132 (2017), No. 3. 
  4. Varank, İ., Erkoç, F. M., Adıgüzel, T., Cömert, Z., & Zengin, E. (2014). “Effectiveness of an Online Automated Evaluation and Feedback System in an Introductory Computer Literacy Course”. Eurasia Journal of Mathematics, Science & Technology Education, 395-404.

B. International Publication

  1. Sevindik, T., & Cömert, Z. (2010). “Using Algorithms for Evaluation in Web-Based Distance Education”. Elsevier.
  2. Sevindik T., Cömert, Z. (2010). “Virtual Education Environments and Web Mining”. Elsevier, 5120-5124.
  3. Sevindik, T., & Cömert, Z. (2011). “Öğrenme Nesnelerinin Sınıflandırılması için Semantik Web Tabanlı İnsan Bilgisayar Etkileşimi”. NWSA, 816 - 822.
  4. Z. Comert and A. F. Kocamaz, (2016),Evaluation of Fetal Distress Diagnosis during Delivery Stages based on Linear and Nonlinear Features of Fetal Heart Rate for Neural Network Community,” Int. J. Comput. Appl., vol. 156, no. 4, pp. 26–31.
  5. A. Diker, Z. Cömert, E. Avcı, “A Diagnostic Model for Identification of Myocardial Infarction from Electrocardiography Signals”, Bitlis Eren Univ. J. Sci. Technol. 7 (2017) 132–139.
  6. Z. Cömert, A.F. Kocamaz, “A Study of Artificial Neural Network Training Algorithms for Classification of Cardiotocography Signals”, Bitlis Eren Univ. J. Sci. Technol. 7 (2017) 93–103.

C. International Publications of International Congresses and Symposium 

  1. Cömert, Z., & Sevindik, T. (2011). “The use of Google Chart for Visual Presentation of Data in Semantic Web Based Learning Management System”. 5th International Computer & Instructional Technologies Symposium (s. 902-908). Elazığ - Turkey: Fırat University.
  2. Sevindik, T., Genç, Z., Kayışlı, K., & Cömert, Z. (2011). “Education Platform in E-Government Applications”. 5th International Computer & Instructional Technologies Symposium (s. 317-323). Elazığ-Turkey: Fırat University.
  3. Çıbuk, M., & Cömert, Z. (2015). “Elektronik Talep Yönetim Sistemi”. International Science and Technology Conference. Petersburg, 753-759 pp, Russia: ISTE-C
  4. Z. Cömert and A. F. Kocamaz, (2016), "Comparison of Machine Learning Techniques for Fetal Heart Rate Classification," in International Conference on Computational and Experimental Science and Engineering, Antalya, Turkey.
  5. Z. Cömert and A. F. Kocamaz, (2016), "Performance Comparison of Neural Network Training Algorithms for Fetal Heart Rate Patterns," in International Conference on Computational and Experimental Science and Engineering, Antalya, Turkey.
  6. Z. Cömert and A. F. Kocamaz, (2016), "A Study Based on Gray Level Co-Occurrence Matrix and Neural Network Community for Determination of Hypoxic Fetuses," in International Artificial Intelligence and Data Processing Symposium'16, Malatya, Turkey.
  7. Z. Cömert, A. F. Kocamaz and S. Güngör, (2016), "Classification and Comparison of Cardiotocography Signals with Artificial Neural Network and Extreme Learning Machine", 24th Signal Processing and Communications Applications Conference, Zonguldak.
  8. Cömert, Z., and Kocamaz, A. F., (2017), "Using Wavelet Transform for Cardiotocography Signals Classification", 25th Signal Processing and Communications Applications Conference, Antalya, Turkey.
  9. Cömert, Z., and Kocamaz, A. F., (2017), "Cardiotocography Analysis based on Segmentation-based Fractal Texture Decomposition and Extreme Learning Machine", 25th Signal Processing and Communications Applications Conference, Antalya, Turkey.
  10. Cömert, Z., and Kocamaz, A. F., (2017), "A Novel Software for Comprehensive Analysis of Cardiotocography Signals, CTG-OAS", International Artificial Intelligence and Data Processing Symposium (IDAP'17), Malatya, Turkey.
  11. Z. Cömert and A. F. Kocamaz, (2017), "CTG-OAS: Open Access Software for Analysis of Fetal Heart Rate Signals," in 4th International Conference on Computational and Experimental Science and Engineering, Antalya, Turkey.
  12. Z. Cömert and A. F. Kocamaz, (2017), "Evaluation of Feature Selection Algorithms on Cardiotocography Data," in 4th International Conference on Computational and Experimental Science and Engineering, Antalya, Turkey.
  13. Cömert, Ö., Cömert, Z., and Genç, Z., "Distance Education Technologies and New Trends in Distance Education", International Conference on Multidisciplinary, Engineering, Science, Education and Technology (IMESET'17)", Bitlis, Turkey, 2017.
  14. Aydın, M. C., et. al., “Estimation Of Flow Series Using Discrete Wavelet Analysis And Artificial Neural Networks”, 4th International Conference on Engineering and Natural Sciences, Kiev, Ukraine, 2018.  
  15. Cömert, Z. et. al., “Performance Evaluation of Empirical Mode Decomposition and Discrete Wavelet Transform for Computerized Hypoxia Detection and Prediction”, 26th Signal Processing and Communications Applications Conference (SIU), İzmir, Turkey, 2018.
  16. Cömert, Z. et. al., “The Influences of Different Window Functions and Lengths on Image-based Time-Frequency Features of Fetal Heart Rate Signals”, 26th Signal Processing and Communications Applications Conference (SIU), İzmir, Turkey, 2018.
  17. Diker, A., et. al., “Intelligent System based on Genetic Algorithm and Support Vector Machine for Detection of Myocardial Infarction from ECG signals”,  26th Signal Processing and Communications Applications Conference (SIU), İzmir, Turkey, 2018.
  18. Diker, A., et. al., “Classification of ECG Signal by using Machine Learning Methods”, 26th Signal Processing and Communications Applications Conference (SIU), İzmir, Turkey, 2018.

D. Publications of National Congresses and Symposium 

  1. Cömert, Z., Kocamaz, A. F., & Çıbuk, M. (2015). “Web Tabanlı Hibrit Bir Uygulama Modeliyle Personel Bilgi Sistemi Tasarımı”. Akademik Bilişim. Eskişehir.
  2. Z. Cömert ve A. F. Kocamaz, (2015), "Determination of QT Interval on Synthetic Electrocardiogram", Sinyal İşleme ve İletişim Kurultayı, Malatya.

E. Projects 

  1. TUBITAK 1001 Projesi, (2012-2014), “Temel Bilgi Teknolojisi Becerilerinin Kazandırılmasına Yönelik Geliştirilen Otomatik Değerlendirme ve Geri Bildirim Sistemi İle Verilecek Sosyal Paylaşım Temelli ve Bilgisayar Temelli Geri Bildirimin Öğrenme Performansına ve Öz-Yeterlilik Algısına Etkisi”, Burslu doktora öğrencisi.
  2. Kamu Kurumları ile Ortak Geliştirilen Proje, (2014-2016),Egzoz Gazı Emisyon Ölçümü Takip Sistemi Projesi”, Bitlis Eren Üniversitesi, Çevre ve Şehircilik Bakanlığı, Araştırmacı
  3. Kamu Kurumları ile Ortak Geliştirilen Proje, (2014-2016), Afet Riski Haritası Hazırlanması, Coğrafi Bilgi Sistem Tabanlı Otomasyon Sistemlerinin Araştırılması ve Geliştirilmesi İşi”, Bitlis Eren Üniversitesi, Çevre ve Şehircilik Bakanlığı, Araştırmacı
  4. Bitlis Eren Üniversitesi ve Saban Üniversitesi İşbirliği ile Geliştirilen Meslek Edindirme Projesi, (2012-2013) “Bilişim Teknolojileri Meslek Edindirme Programı (BİTMEP)”, Eğitmen

E. Chapters

  1. Z. Cömert, A.F. Kocamaz, Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach, in: R. Silhavy (Ed.), Softw. Eng. Algorithms Intell. Syst., Springer International Publishing, Cham, 2019: pp. 239–248.