Machine Vision Laboratory Research Group

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The Name of Research Group

Machine Vision Laboratory (MaVi)

Members of the Research Group

Researchers: Assoc. Prof. Dr. Yılmaz KAYA, Assoc. Prof. Dr. Melih KUNCAN, Assoc. Prof. Dr. Recep MİNAZ, Asst. Prof. Dr. Fatma KUNCAN, Asst. Prof. Dr. Mahmut KAYA, Asst. Prof. Dr. Züleyha YİNER, MSc Student Cevdet COŞKUN, MSc Student Hüseyin YILMAZ

Research Areas

  •  Artificial intelligence
  •  Machine learning
  •  Deep Learning
  •  Pattern Recognition
  •  Biometrics
  •  Motion Recognition
  •  Text Mining
  •  Image processing
  •  Signal Processing
  •  Information security
  •  Smart Agriculture Applications
  •  Artificial Intelligence Applications in Medicine

Research Projects

  • Siirt University Scientific Research Projects (BAP) Coordinatorship, Project Code: 2021- SİUMUH -14, Project Name: Real-time analysis of bearing failures using artificial intelligence techniques.
  • Siirt University Scientific Research Projects (BAP) Coordinatorship, Project Code: 2021- SİUMUH-13, Project Name: Motion Recognition from Sensor Signals Using Deep Learning Methods (Completed).
  • Siirt University Scientific Research Projects (BAP) Coordinatorship, Project Code: 2020- SİUMUH -036, Project Name: A New Performance Evaluation Criterion for Feature Selection in Text Classification (Completed).
  • Siirt University Scientific Research Projects (BAP) Coordinatorship, Project Code: 2018- SİUMUH -070, Real Time Speed and Position Control of DC Motor with PID and Fuzzy Logic (Completed).
  • Siirt University Scientific Research Projects (BAP) Coordinatorship, Project Code: 2018- SİUMUH -069, Failure Analysis Estimation from Sound Status of Transformers (Completed).
  • Siirt University Scientific Research Projects (BAP) Coordinatorship, Project Code: 2018- SIUFEB-DR-009, Doctoral Thesis Project, Motion Recognition Systems (Completed)

Publications(2018-2022)

  • Noyan, T., Kuncan, F., Tekin, R., & Yılmaz, K. A. Y. A. (2022). Döküman dili tanıma için içerik bağımsız yeni bir yaklaşım: Açı Örüntüler. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 37(3), 1277-1292.
  • Kaya, Y., Kuncan, F., & Tekin, R. (2022). A New Approach for Congestive Heart Failure and Arrhythmia Classification Using Angle Transformation with LSTM. Arabian Journal for Science and Engineering, 1-17.
  • Kuncan, F., Kaya, Y., Tekin, R., & Kuncan, M. (2022). A new approach for physical human activity recognition based on co-occurrence matrices. The Journal of Supercomputing, 78(1), 1048-1070.
  • Ozdemir, C., Gedik, M. A., & Kaya, Y. (2021). Age Estimation from Left-Hand Radiographs with Deep Learning Methods. Traitement du Signal, 38(6).
  • Kaya, Y., Makaracı, M., Bayraklılar, M. S., & Kuncan, M. (2021). Veri işleme grup yöntemi (VİGY) sinir ağı kullanılarak küresel elastomerik yataklarda elastomer tabakalar üzerindeki maksimum gerilmenin tahmini. Journal of the Faculty of Engineering & Architecture of Gazi University, 36(3).
  • Özel, E., Tekin, R., & Kaya, Y. (2021). Implementation of Artifact Removal Algorithms in Gait Signals for Diagnosis of Parkinson Disease. Traitement du Signal, 38(3).
  • Kaya, Y., Kuncan, M., Kaplan, K., Minaz, M. R., & Ertunç, H. M. (2021). A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classification. Journal of Experimental & Theoretical Artificial Intelligence, 33(1), 161-178.
  • Kaya, Y., Makaraci, M., Bayraklilar, S., & Kuncan, M. (2021). Using group method of data handling (GMDH) neural network to predict the maximum stress on elastomeric layers in spherical elastomeric bearings. Journal Of The Faculty Of Engıneerıng And Archıtecture Of Gazı Unıversıty, 36(3).
  • Özdemir, C., & Kaya, Y. (2021). Ray Bileşenlerinde Meydana Gelen Arızaların Görüntü İşleme Teknikleri ile Tespit Edilmesi. Bilişim Teknolojileri Dergisi, 14(1), 105-113.
  • Tekin, R., Ertuğrul, Ö. F., & Kaya, Y. (2020). New local binary pattern approaches based on color channels in texture classification. Multimedia Tools and Applications, 79(43), 32541-32561.
  • Kaya, Y., Kuncan, M., Kaplan, K., Minaz, M. R., & Ertunç, H. M. (2020). Classification of bearing vibration speeds under 1D-LBP based on eight local directional filters. Soft Computing, 24(16), 12175- 12186.
  • Kaplan, K., Kaya, Y., Kuncan, M., & Ertunç, H. M. (2020). Brain tumor classification using modified local binary patterns (LBP) feature extraction methods. Medical hypotheses, 139, 109696.
  • Kuncan, M., Kaplan, K., Mı̇naz, M. R., Kaya, Y., & Ertunç, H. M. (2020). A novel feature extraction method for bearing fault classification with one dimensional ternary patterns. ISA transactions, 100, 346-357. 
  • Kaplan, K., Kaya, Y., Kuncan, M., Minaz, M. R., & Ertunç, H. M. (2020). An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis. Applied Soft Computing, 87, 106019.
  • Kaya, Y., & Ertuğrul, Ö. F. (2019). Estimation of neurological status from non-electroencephalography bio-signals by motif patterns. Applied Soft Computing, 83, 105609.
  • Kuncan, F., Yılmaz, K. A. Y. A., & Kuncan, M. (2019). Sensör işaretlerinden cinsiyet tanıma için yerel ikili örüntüler tabanlı yeni yaklaşımlar. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 34(4), 2173-2186.
  • Kuncan, F., Kaya, Y., & Kuncan, M. (2019). A novel approach for activity recognition with down- sampling 1D local binary pattern. Advances in Electrical and Computer Engineering, 19(1), 35-44.
  • Kaya, Y., & Tekin, R. (2018). Epileptik EEG İşaretlerinin Sınıflandırılması İçin Yeni Bir Öznitelik Çıkarım Yöntemi. Journal of Natural & Applied Sciences.
  • Kaya, Y., & Ertuğrul, Ö. F. (2018). A stable feature extraction method in classification epileptic EEG signals. Australasian physical & engineering sciences in medicine, 41(3), 721-730.

External Partnerships

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Güncelleme : 4.07.2022 13:55:36