Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Mustafa Kocakulak"'
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 4, Pp 102651- (2024)
Gas Metal Arc Welding is a joining technique with numerous uses in manufacturing. Since welding process parameters have a considerable impact on the welding quality, online monitoring systems are utilized on production lines to achieve standard weldi
Externí odkaz:
https://doaj.org/article/b089e84a6f984cdc953b8e089cf4df10
Autor:
Mustafa Kocakulak, NURETTIN ACIR
Publikováno v:
Journal of Innovative Science and Engineering, Vol 7, Iss 1, Pp 29-39 (2023)
Palmprint has been widely used in biometric systems because of its durability and reliability. To avoid recognition performance degradation, dynamic region of interest extraction is a critical step for these systems. In this study, a low-cost contact
Externí odkaz:
https://doaj.org/article/2df1871095f14df88d8a60e6ea6bf44b
Autor:
Ahmet Tulga Ulus, Tuna Güray, Ece Ürpermez, Sertan Özyalçın, Ali Taner, Erdem Haberal, Mustafa Kocakulak
Publikováno v:
Brazilian Journal of Cardiovascular Surgery, Vol 38, Iss 1, Pp 62-70 (2022)
ABSTRACT Introduction: Extracorporeal perfusion flow type requires further investigation. The aim of this study is to compare the effects of pulsatile and nonpulsatile flow on oxygenator fibers that were analyzed by scanning electron microscope (SEM)
Externí odkaz:
https://doaj.org/article/74e144cf75d04f389d780b6144ad4467
Autor:
Mustafa KOCAKULAK, Nurettin ACIR
Publikováno v:
Journal of Innovative Science and Engineering (JISE).
Palmprint has been widely used in biometric systems because of its durability and reliability. To avoid recognition performance degradation, dynamic region of interest extraction is a critical step for these systems. In this study, a low-cost contact
Autor:
Mustafa Kocakulak, Nurettin Acir
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Publikováno v:
2021 13th International Conference on Electrical and Electronics Engineering (ELECO).
Publikováno v:
European Journal of Science and Technology.
Publikováno v:
SSCI
Most of the recent researches have determined that finger-vein identification systems have begun to change their direction from hand-crafted feature extraction to automatic feature extraction methods, such as convolutional neural networks (CNN). Alth
Publikováno v:
2019 11th International Conference on Electrical and Electronics Engineering (ELECO).
With the increase in the number of publicly available finger-vein datasets, most of the recent studies on finger-vein biometrics have started to use Convolutional Neural Networks (CNNs). Since it is not an easy task to create a biometric dataset with
Publikováno v:
Biocybernetics and Biomedical Engineering. 37:611-617
Bilirubin, a bile pigment, is associated with several diseases and systemic pathologies. The measurement of bilirubin is important for diagnosis and therapy, and many expensive methods are used to measure the bilirubin amount in blood. In this study,