Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zeki Kuş"'
Autor:
Zeki Kuş, Berna Kiraz, Tuğçe Koçak Göksu, Musa Aydın, Esra Özkan, Atay Vural, Alper Kiraz, Burhanettin Can
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 46, Iss , Pp 101502- (2023)
Brain vasculature analysis is critical in developing novel treatment targets for neurodegenerative diseases. Such an accurate analysis cannot be performed manually but requires a semi-automated or fully-automated approach. Deep learning methods have
Externí odkaz:
https://doaj.org/article/1a94dc2207174d9b83aaabfdcd876ae4
Autor:
Ayla GÜLCÜ, Zeki KUŞ
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 7, Iss 2, Pp 503-522 (2019)
Convolutional neural networks (CNN) are special types of multi-layer artificial neural networks in which convolution method is used instead of matrix multiplication in at least one of its layers. Although satisfactory results have been achieved by CN
Externí odkaz:
https://doaj.org/article/a082767f0baf4f5282b3e043d3ebae9b
Publikováno v:
IEEE Access. 11:22596-22613
Publikováno v:
Metaheuristics ISBN: 9783031265037
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87f55736464ddfc00cdb4ae731a27e8f
https://doi.org/10.1007/978-3-031-26504-4_12
https://doi.org/10.1007/978-3-031-26504-4_12
Autor:
Ayla Gülcü, Zeki Kuş
Publikováno v:
Metaheuristics ISBN: 9783031265037
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cda43548d575bcaecb423a32e7a7b54
https://doi.org/10.1007/978-3-031-26504-4_11
https://doi.org/10.1007/978-3-031-26504-4_11
In the process of developing a university’s weekly course timetable, changes in the data, such as the available time periods of professors or rooms, render the timetable infeasible, requiring the administrators to repair or update the timetable. Si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::812f0225887949c08a531558b1277655
Autor:
Ayla Gülcü, Zeki Kuş
Publikováno v:
IEEE Access, Vol 8, Pp 52528-52540 (2020)
The success of Convolutional Neural Networks is highly dependent on the selected architecture and the hyper-parameters. The need for the automatic design of the networks is especially important for complex architectures where the parameter space is s
Autor:
Zeki Kuş, Ayla Gülcü
Publikováno v:
Volume: 7, Issue: 2 503-522
Gazi University Journal of Science Part C: Design and Technology
Gazi University Journal of Science Part C: Design and Technology
Konvolüsyonel Sinir Ağları (KSA), katmanlarının en az bir tanesinde matris çarpımı yerine konvolüsyon işleminin kullanıldığı çok katmanlı yapay sinir ağlarının bir türüdür. Özellikle bilgisayarlı görü çalışmalarında çok
Publikováno v:
CEC
For many combinatorial optimization problems, it is important to identify solutions that can be repaired without degrading solution quality in case changes in the data associated with the constraints make the initial solution infeasible, while ensuri
Autor:
Zeki Kuş, Ayla Gülcü
Publikováno v:
PeerJ Computer Science
In this study, we model a CNN hyper-parameter optimization problem as a bi-criteria optimization problem, where the first objective being the classification accuracy and the second objective being the computational complexity which is measured in ter