Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Mete Celik"'
Autor:
Irfan Yildirim, Mete Celik
Publikováno v:
IEEE Access, Vol 7, Pp 144245-144263 (2019)
High-utility itemset mining (HUIM), which is an extension of well-known frequent itemset mining (FIM), has become a key topic in recent years. HUIM aims to find a complete set of itemsets having high utilities in a given dataset. High average-utility
Externí odkaz:
https://doaj.org/article/8cb4d3b3ccba402198f0f4cfe18937ff
Autor:
Filiz Dadaser-Celik, Mete Celik
Publikováno v:
Acque Sotterranee, Vol 6, Iss 3 (2017)
Palas Basin is a semi-arid closed basin located in the Central Anatolia region of Turkey. The major economic activity in the basin is agriculture; therefore, both surface water and groundwater are used for irrigation. However, intensive use of water
Externí odkaz:
https://doaj.org/article/4c2ba11a47764825b707c5c3210df53a
Publikováno v:
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology.
ObjectivesIn this study, we aim to compare two different deep learning method of Faster R-CNN and YOLO-V4 for the classification of teeth in dental panoramic radiography.Study DesignOur method is based on deep learning models trained on a semantic se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5870ff96f0044a2481a35a1ead049018
https://doi.org/10.1016/j.oooo.2023.02.021
https://doi.org/10.1016/j.oooo.2023.02.021
Autor:
Serhat Kiliçarslan, Mete Celik
Publikováno v:
Neural Computing and Applications. 34:13909-13923
© 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.Activation functions (AFs) are the basis for neural network architectures used in real-world problems to accurately model and learn complex relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6055856510582019a17cfb472bfac2b
https://doi.org/10.1007/s00521-022-07211-7
https://doi.org/10.1007/s00521-022-07211-7
Autor:
Fatma Ozge Ozkok, Mete Celik
Publikováno v:
Engineering Cyber-Physical Systems and Critical Infrastructures ISBN: 9783031097522
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::410fefb4d28d14109bf8392c6eedaa95
https://doi.org/10.1007/978-3-031-09753-9_49
https://doi.org/10.1007/978-3-031-09753-9_49
Publikováno v:
2022 3rd International Informatics and Software Engineering Conference (IISEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4baec5997dd4f143cd759add01eff7a9
https://doi.org/10.1109/iisec56263.2022.9998309
https://doi.org/10.1109/iisec56263.2022.9998309
Autor:
Mete Celik, Fatma Ozge Ozkok
Publikováno v:
International Journal of Information Technology & Decision Making. 20:1615-1636
Time series is a set of sequential data point in time order. The sizes and dimensions of the time series datasets are increasing day by day. Clustering is an unsupervised data mining technique that groups objects based on their similarities. It is us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dd7ccdca792d0d956d4179422043ca6
https://doi.org/10.1142/s0219622021500449
https://doi.org/10.1142/s0219622021500449
Autor:
Mete Celik, Murat Taşyürek
Publikováno v:
Volume: 36, Issue: 2 715-726
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Mekânsal analizler günümüzde önemli hale gelmiştir ve çok farklı uygulama alanlarında kullanılmaktadır. Yaygın olarak kullanılan konum temelli analiz yöntemlerinden biri olan Coğrafi Ağırlıklı Regresyon (Geographically Weighted Reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5c0023e565de16df1f3044d881f89e9
https://doi.org/10.17341/gazimmfd.757131
https://doi.org/10.17341/gazimmfd.757131
Autor:
Murat Taşyürek, Mete Celik
Geographically weighted regression (GWR) models varying relationships and is a local spatial regression approach. It has been used in several application domains, such as meteorology, environmental management, ecology, etc. The datasets collected in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1012be426b89dd0f01c2f9f0376d8354
https://avesis.kayseri.edu.tr/publication/details/36db1cdd-612a-422b-a70d-9dd32c67fb90/oai
https://avesis.kayseri.edu.tr/publication/details/36db1cdd-612a-422b-a70d-9dd32c67fb90/oai
Publikováno v:
European Journal of Science and Technology. :436-443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d734b6512d1aa9e7d8870a97c7dd8d7
https://doi.org/10.31590/ejosat.araconf57
https://doi.org/10.31590/ejosat.araconf57