MÜHENDİSLİK FAKÜLTESİ
ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ
 
 Adı Soyadı: ARŞ.GÖR. DR. HASAN KOYUNCU
Fakülte Adı:  MÜHENDİSLİK FAKÜLTESİ ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ BÖLÜMÜ DEVRELER VE SİSTEMLER A.B.D.
Ana Bilim Dalı:  DEVRELER VE SİSTEMLER
E-Mail :  hasankoyuncu selcuk.edu.tr
Telefon : 0 332 223 37 15
Adres :
Url :
 
  Kurum :
KurumBaşlangıç TarihiBitiş Tarihi
Selçuk Üniversitesi2013 

  Akademik Yayınlar:

Conference Papers:

[1] 
Koyuncu, H., & Ceylan, R. (2013, July). Artificial neural network based on rotation forest for biomedical pattern classification. In 36th International Conference on Telecommunications andSignal Processing (TSP), (pp. 581-585). IEEE

[2] Koyuncu, H., & Ceylan, R. (2015, September). Scout particle swarm optimization. In 
6th European Conference of the International Federation for Medical and Biological Engineering (pp.82-85). Springer International Publishing

[3] Koyuncu, H., & Ceylan, R. (2016, April). Optic Disc Segmentation with Kapur-ScPSO Based Cascade Multithresholding. In 
InternationalConference on Bioinformatics and Biomedical Engineering (pp. 206-215).Springer International Publishing

[4] Koyuncu, H., & Ceylan, R. (2017, April). A Hybrid Tool on Denoising and Enhancement of Abdominal CT Images before Organ & Tumour segmentation. In 
37th International Conference on Electronics andNanotechnology (ELNANO). IEEE

[5] Koyuncu, H., & Ceylan, R. (2017,May). Classification of Adrenal Lesions by Bounded PSO-NN. In 
25th Signal Processing and Communication Applications (SIU). IEEE

Articles:

[1] Ceylan, R., & Koyuncu, H. (2016). A New Breakpoint in Hybrid Particle Swarm-Neural Network Architecture: Individual Boundary Adjustment. International Journal of Information Technology & Decision Making, 1-31. (Sci. Exp. --- Impact factor: 1.664)


[2] Koyuncu, H., & Ceylan, R. (2017) RF Ensemble Novelties Based on Optimized & Backpropagated NNs. International Journal of Machine Learning and Computing, 76-84.(Engineering Index)


[3] Ceylan, R., & Koyuncu, H. (2017). A Novel Rotation Forest Modality Based on Hybrid NNs: RF (ScPSO-NN). Journal of King Saud University-Computer and Information Sciences. (Esci)


[4] Koyuncu, H., &Ceylan, R. (2017). Elimination of white Gaussian noise in arterial phase CT images to bring adrenal tumours into the forefront. Computerized Medical Imaging and Graphics. (Sci.Exp. --- Impact factor: 2.435)


[5] Koyuncu, H.,
Ceylan, R.,Sivri, M., & Erdogan, H. (2017). An Efficient Pipeline for Abdomen Segmentation in CT Images. Journal of digital imaging, 1-13. (Sci. --- Impact factor: 1.536)

[6] Koyuncu, H., Ceylan, R.,Erdogan, H., & Sivri, M. (2018). A novel pipeline for adrenal tumour segmentation. Computer Methods and Programs in Biomedicine, 159,77-86. (Sci. --- Impact factor: 2.674)


[7] Koyuncu, H., & Ceylan, R. (2018). A PSO based Approach: Scout Particle Swarm Algorithm for Continuous Global Optimization Problems. Journal of Computational Design and Engineering. (Esci)


Book Chapter:

[1] Ceylan, R., & Koyuncu, H. (2018). ScPSO-Based Multithresholding Modalities for Suspicious Region Detection on Mammograms. In: Soft Computing Based Medical Image Analysis (Eds: Nilanjan Dey, N., Ashour, A., Shi, F., Balas, V.E.), Elsevier, Chapter 7, pp.109-135.

 

Reviewer on:
[1] IEEE Transactions on Medical Imaging (IEEE, Sci)

[2] Computer Methods and Programs in Biomedicine (Elsevier, Sci)

[3] Medical & Biological Engineering & Computing (Springer, Sci)
[4] Journal of Digital Imaging (Springer, Sci)

[5] Applied Soft Computing (Elsevier, Sci-Exp.)
[6] Neural Processing Letters (Springer, Sci-Exp.)
[7] Signal, Image and Video Processing (Springer, Sci-Exp.)
[8] IETE Journal of Research (Taylor & Francis, Sci-Exp.)
[9] Neural Network World (Sci-Exp.)
[10] Journal of Intelligent Systems (Esci)
[11] IEEE conferences


  Yönetilen Tezler
1. Hasan KOYUNCU, " BT Görüntülerinden Sürrenal Lezyonların Belirlenmesi ve Sınıflandırılması / Detection and Classification of Adrenal Lesions by using CT Images ", Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, Doktora, Devreler ve Sistemler, 2014 - 2018, Tamamlandı
2. Hasan KOYUNCU, " Rotasyonel Orman ile Biyomedikal Örüntü Sınıflandırma / Biomedical Pattern Classification with Rotation Forest ", Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans, Devreler ve Sistemler, 2011 - 2013, Tamamlandı

  Yöneticilik Görevleri:

 Kurum İçi Yöneticilik Görevleri:

 Ek Bilgi

 Dersler
Dersin Adı
DESIGN OF LOGIC CIRCUITS
ELEC.-ELT. ENGINEERING PRACTICE 1
ELEC.-ELT. ENGINEERING PRACTICE 2
ELECTRICAL & ELECTRONICS DESIGN
ELEKTR. - ELEKTRON. MÜH. UYGULAMASI 2
ELEKTR. ELEKTRON. MÜH. UYGULAMASI 1
ELEKTRİK ELEKTRONİK TASARIM
ELK.- ELEKTRONİK MÜH. UYG. 1
ELKTR.- ELEKTRON. MÜH. UYG. 2
LİSANS DANIŞMANLIĞI
LOGIC CIRCUITS
LOJİK DEVRE TASARIMI
LOJİK DEVRE TASARIMI
LOJİK DEVRELER