Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Metehan MAKİNACI"'
Autor:
Mahmut Sinecen, Metehan Makinacı
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 16, Iss 2, Pp 149-153 (2010)
Bu çalışmada, asfalt ve beton karışımlarında kullanılan doğal ve kırma taş agregaların görüntü işleme teknikleri kullanılarak elde edilen tanımlayıcı vektörlerinin yapay sinir ağları yardımıyla sınıflandırılması amaçlan
Externí odkaz:
https://doaj.org/article/3ace5c1e14c54b72b0be90c10f4c6e9c
Autor:
Mahmut SİNECEN, Metehan MAKİNACI
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 16, Iss 2, Pp 149-153 (2010)
In this paper, the aim is to classify natural or crushed aggregates by using concrete and asphalt mixes through Artificial Neural Networks. For classification, it was a used the feature vector which was calculated by using digital image processing te
Externí odkaz:
https://doaj.org/article/42e486c64827493082854fbf1e998a63
Publikováno v:
Expert Systems. 30:333-340
This study focuses on the development of a new module for a more accurate determination of geometrical properties of aggregates. A laser-based imaging system has been developed for the shape characterization of aggregates by using various digital ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02500b19eb6df0945b657aa430c70044
https://doi.org/10.1111/j.1468-0394.2012.00638.x
https://doi.org/10.1111/j.1468-0394.2012.00638.x
Autor:
Bilal Cakmak, Omer Karal, Mehmet Engin, Metehan Makinaci, Mahmut Sinecen, Yusuf Ziya Atesci, Murat Çinar
Prostat cancer is a disease which is the most common and which is also the second deadly in men. When prostat cancer can be diagnosed early, medical surgery operation can be performed and the disease can be treated. In this study, the aim is to desig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c42a15a858f061a8d36847c345e2313f
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/19827
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/19827
