Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Sedat Metlek"'
Autor:
Halit Çetiner, Sedat Metlek
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101663- (2023)
Segmentation of brain tumors is of great importance for patients in clinical diagnosis and treatment. For this reason, experts try to identify border regions of special importance using multimodal images from magnetic resonance imaging systems. In so
Externí odkaz:
https://doaj.org/article/a7a6058d31ed4f9a9872aff374780cc6
Autor:
Sedat Metlek, Halit Cetiner
Publikováno v:
IEEE Access, Vol 11, Pp 69884-69902 (2023)
The number of brain tumor cases has increased in recent years. Therefore, accurate diagnosis and treatment of brain tumors are extremely important. Accurate detection of tumor regions is difficult, even for experts, because brain tumor images are low
Externí odkaz:
https://doaj.org/article/3dbc65e725924ad68f69ecb0ce93c3d3
Autor:
Sedat Metlek, Kiyas Kayaalp
Publikováno v:
Sakarya University Journal of Computer and Information Sciences, Vol 3, Iss 2, Pp 112-120 (2020)
In the study, it is aimed to classify the apples as rotten and robust by using the deep learning algorithm of the apple images taken from the CAPA database. In the proposed model, the processing steps are image reading, preprocessing and classificati
Externí odkaz:
https://doaj.org/article/de649b6a446949ff8dd068978f13d05e
Autor:
Kiyas Kayaalp, Sedat Metlek
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 8, Iss 3, Pp 2208-2228 (2020)
Yapılan çalışmada günümüzün popular konularından olan derin öğrenme algoritmaları üzerine bir uygulama geliştirilmiştir. Geliştirilen uygulamada görüntülerden yüz tespiti yapılıp ardından görüntüdeki kişinin cinsiyet tahmin
Externí odkaz:
https://doaj.org/article/c59b46fec4a549e3ae88d557d39a29eb
Autor:
Halit Çetiner, Sedat Metlek
Publikováno v:
International Conference on Recent Academic Studies. 1:92-99
Recognition of weather conditions, which have an important effect on the planning of our dailylives, affects many events from transport to agriculture. Even on an ordinary day, the weather affects manyevents, from taking children to the market to tak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b458af18534acef26bb28a4921efa492
https://doi.org/10.59287/icras.678
https://doi.org/10.59287/icras.678
Autor:
Halit Çetiner, Sedat Metlek
Publikováno v:
International Conference on Scientific and Innovative Studies. 1:124-132
Traditional classification methods have difficulty in meeting the changing needs according tothe ever-increasing data piles. With the development of processors with high performance as memory andprocessing capabilities, deep learning-based methods ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdc42082ea1f09ecaeddbfa9ec2b7423
https://doi.org/10.59287/icsis.589
https://doi.org/10.59287/icsis.589
Autor:
Sedat Metlek
Publikováno v:
Aircraft Engineering and Aerospace Technology. 95:838-848
Purpose The purpose of this study is to develop and test a new deep learning model to predict aircraft fuel consumption. For this purpose, real data obtained from different landings and take-offs were used. As a result, a new hybrid convolutional neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23b79d383c1e44f7c644a8d75ac3a346
https://doi.org/10.1108/aeat-05-2022-0132
https://doi.org/10.1108/aeat-05-2022-0132
Publikováno v:
Wireless Networks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab5f40119aa02e3e07be31260e6899da
https://doi.org/10.1007/s11276-023-03285-w
https://doi.org/10.1007/s11276-023-03285-w
Autor:
Sedat Metlek
Publikováno v:
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH. 56:107-124
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27bad5e1ae4471a928997cc3eb60211f
https://doi.org/10.24818/18423264/56.1.22.07
https://doi.org/10.24818/18423264/56.1.22.07
Publikováno v:
International Journal of Energy Research. 46:6370-6382
The present study aims to predict the effect of the panel temperature on the electrical power obtained by the photovoltaic thermal system (PVT) based on natural zeolite plates. It was carried out using the long short-term memory (LSTM) and multilayer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c3c95e2a53f403364052acfe4dcc948
https://doi.org/10.1002/er.7575
https://doi.org/10.1002/er.7575