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Picture
Mucahid-Barstugan.png picture
Full Name
Barstuğan, Mücahid
Variants
Barstugan, Mucahid
Barstuğan, M.
Barstugan, M.
 
Main Affiliation
02.04. Department of Electrical and Electronics Engineering
 
Email
mbarstugan@ktun.edu.tr
 
Link to YOK Profile
Link to YOK Profile
ORCID
0000-0001-9790-5890
Link to Google Profile
Google Scholar Profile
Scopus Author ID
57200139642
Biography
Mücahid Barstuğan received the B.Sc. degree in Electronics and Communication Engineering from Kocaeli University in 2010, M.Sc. degree in Electrical and Electronics Engineering from Selçuk University in 2014, and PhD degree in Electrical and Electronics Engineering from Konya Technical University, in 2019. He is currently an Assistant Professor with Konya Technical University.
Country
Turkey
Status
Current Staff
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Publications
  • Articles
  • Patents
  • Others

Author

  • 9 Barstuğan, Mücahid
  • 3 Ceylan, Rahime
  • 2 Asoğlu, Semih
  • 2 Cebeci, Hakan
  • 2 İnce, İsmail
  • 2 Koplay, Mustafa
  • 2 Koyuncu, Hasan
  • 1 Balıkçıoğlu, A.
  • 1 Barstuğan, Rabia
  • 1 Bozdağ, Ali
  • . next >

Subject

  • 2 Artificial Neural Network
  • 2 feature extraction
  • 1 A(2)Bc(3)S(8)
  • 1 A(3)S(4)
  • 1 Ab(2)Cs(4)
  • 1 Ab(2)X(4)
  • 1 Adaboost
  • 1 adrenal glands
  • 1 adrenal tumor classification
  • 1 Adrenal Tumor Segmentation
  • . next >

Date issued

  • 4 2021
  • 4 2020
  • 1 2019
  • 1 2018

Type

  • 10 Article

Fulltext

  • 10 With Fulltext


Results 1-10 of 10 (Search time: 0.003 seconds).

Issue DateTitleAuthor(s)
12020Adrenal tumor characterization on magnetic resonance imagesBarstuğan, Mücahid ; Ceylan, Rahime ; Asoğlu, Semih; Cebeci, Hakan; Koplay, Mustafa
22018Adrenal tumor segmentation method for MR imagesBarstuğan, Mücahid ; Ceylan, Rahime ; Asoğlu, Semih; Cebeci, Hakan; Koplay, Mustafa
32021Classification of Coronavirus (COVID-19) fromX-rayandCTimages using shrunken featuresÖztürk, Şaban; Özkaya, Umut ; Barstuğan, Mücahid 
42020A comprehensive study of brain tumour discrimination using phase combinations, feature rankings, and hybridised classifiersKoyuncu, Hasan ; Barstuğan, Mücahid ; Öziç, Muhammet Üsame
52021COVID-19 discrimination framework for X-ray images by considering radiomics, selective information, feature ranking, and a novel hybrid classifierKoyuncu, Hasan ; Barstuğan, Mücahid 
62020Deep learning-based weathering type recognition in historical stone monumentsHatır, Mehmet Ergün; Barstuğan, Mücahid ; İnce, İsmail 
72020The effect of dictionary learning on weight update of AdaBoost and ECG classificationBarstuğan, Mücahid ; Ceylan, Rahime 
82021Evaluation of the relationship between the physical properties and capillary water absorption values of building stones by regression analysis and artificial neural networksİnce, İsmail ; Bozdağ, Ali ; Barstuğan, Mücahid ; Fener, Mustafa
92021A general review on the thiospinels and their energy applicationsÖzel, F. ; Kılıç, H. S. ; Coşkun, H. ; Deveci, I. ; Sarılmaz, A. ; Balıkçıoğlu, A. ; Ersöz, M. ; Kuş, Mahmut 
102019PBO/graphene added beta-PVDF piezoelectric composite nanofiber productionBarstuğan, Rabia; Barstuğan, Mücahid ; Özaytekin, İlkay 

 

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