Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Serpil ASLAN"'
Publikováno v:
Diagnostics, Vol 13, Iss 7, p 1299 (2023)
Urine sediment examination is one of the main tests used in the diagnosis of many diseases. Thanks to this test, many diseases can be detected in advance. Examining the results of this test is an intensive and time-consuming process. Therefore, it is
Externí odkaz:
https://doaj.org/article/ec3a1b7d5d1f4cb289f06d2a840be3bc
Publikováno v:
Neural Computing and Applications. 35:10311-10328
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::306c98faf7263fc4eb565d6f1016e7b8
https://doi.org/10.1007/s00521-023-08236-2
https://doi.org/10.1007/s00521-023-08236-2
Publikováno v:
Earth Science Informatics. 16:329-343
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb75e5a57123c09994b9adea39b444b4
https://doi.org/10.1007/s12145-023-00940-w
https://doi.org/10.1007/s12145-023-00940-w
Autor:
Yunus Emre Karaca, Serpil Aslan
Publikováno v:
Review of Computer Engineering Studies. 9:87-93
Early detection of lung cancer increases the response rate to treatment. Therefore, the accuracy of diagnostic methods is of great importance. Reading the patient's medical images by radiologists can cause a severe time cost besides subjective result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61ee1c8f5abc7b1e5fe2121b9d01c7e2
https://doi.org/10.18280/rces.090301
https://doi.org/10.18280/rces.090301
Autor:
Hamit MIZRAK, Serpil ASLAN
Publikováno v:
Fırat Üniversitesi Mühendislik Bilimleri Dergisi.
Dünyada birçok işlemler artık dijitalleştiğinden dolayı veri güvenliliği, veri paylaşımı, veriye hızlı erişim, verilerin bütünlüğünü korunmak önemli görülmüştür. Her geçen gün, günlük yaşantımızda bilgisayara bağım
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36ac37119ea759c2faeb020a97ed7af1
https://doi.org/10.35234/fumbd.1289650
https://doi.org/10.35234/fumbd.1289650
A novel TCNN–Bi‐LSTM deep learning model for predicting sentiments of tweets about COVID‐19 vaccines
Autor:
SERPIL ASLAN
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cca038427022a1c8d0c243f85320548
https://doi.org/10.1002/cpe.7387
https://doi.org/10.1002/cpe.7387
Autor:
Serpil Aslan
Publikováno v:
Applied Soft Computing. 143:110404
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36858b6e7b478efbb24e6ce2e3eeeff9
https://doi.org/10.1016/j.asoc.2023.110404
https://doi.org/10.1016/j.asoc.2023.110404
Autor:
Serpil ASLAN
Publikováno v:
International Journal of Pure and Applied Sciences.
Günümüzde, sosyal medya platformları duyguları ifade etmenin en iyi yoludur. Yaklaşık iki yıldır, Covid-19 yeni koronavirüs salgının ortaya çıkması tüm dünyada olduğu gibi ülkemizde de insanların üzerinde benzeri görülmemiş ka
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd7b506361e86da7b186577c714a9121
https://doi.org/10.29132/ijpas.1087486
https://doi.org/10.29132/ijpas.1087486
Autor:
Buket Kaya, Serpil Aslan
Publikováno v:
Information Sciences. 506:217-233
The traditional projection models in the bipartite networks involve many node pairs that consist of weak relationships. These node pairs lead to poor quality predictions as well as high computation time. In this paper, to cope with these problems, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::992acabedca6af26f7b7438ad87afc92
https://doi.org/10.1016/j.ins.2019.08.025
https://doi.org/10.1016/j.ins.2019.08.025
Publikováno v:
Volume: Vol: 7, Issue: Issue: 1 10-19
Computer Science
Computer Science
Thanks to the rapid development of deep learning technology, smart systems used in almost every part of our daily life are being developed. Developed applications not only made our lives easier, but also contributed positively to nature. Traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5468659d39a3db72ee09685a074a764
https://doi.org/10.53070/bbd.1071536
https://doi.org/10.53070/bbd.1071536