Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ebru Erdem"'
Autor:
Tolga Aydin, Ebru Erdem
Publikováno v:
IEEE Access, Vol 11, Pp 53518-53530 (2023)
GPS (Global Positioning System) has been a widespread system used for various purposes in today’s world and it is essential to suggest innovative effective solutions to improve its use and functions. The present study proposes GPS coordinate conver
Externí odkaz:
https://doaj.org/article/1e4164ec48a043dcacfa6086aa5f9866
Publikováno v:
Alexandria Engineering Journal, Vol 63, Iss , Pp 625-643 (2023)
The problem of customer complaints occurs in almost every business and solutions are offered to reduce these complaints. When companies do not pay necessary attention to the complaints, they suffer revenue losses due to the loss of customers, the bra
Externí odkaz:
https://doaj.org/article/b88c949c6d174a6189e171ca475fe6b1
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
BackgroundPolicies addressing food insecurity are only effective if they are implemented successfully, serving those most at risk. Universal school meals provide a key intervention to schools that serve predominantly low-income families by providing
Externí odkaz:
https://doaj.org/article/9e08c42cdb604bb48a2a21a93d77908f
Autor:
Ebru Erdem, Tolga Aydin
Publikováno v:
Sakarya University Journal of Computer and Information Sciences, Vol 4, Iss 1, Pp 26-34 (2021)
Pneumonia is a seasonal infectious lung tissue inflammatory disease. According to the World Health Organization (WHO), early diagnosis of the disease reduces the risk of its transmission and death. Various deep learning and machine learning algorithm
Externí odkaz:
https://doaj.org/article/99da8062d7a04bb8b405cd3100094791
Autor:
Erin McCrossan, Elisabeth G. Fornaro, Soula Servello, Peter Hawes, Ebru Erdem, Katrina Struloeff
Publikováno v:
Journal of Nutrition Education and Behavior.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::977afdbb3f2262a946a3ee267fe7a2db
https://doi.org/10.1016/j.jneb.2023.03.003
https://doi.org/10.1016/j.jneb.2023.03.003
Autor:
Tolga Aydin, Ebru Erdem
Publikováno v:
Volume: 4, Issue: 1 26-34
Sakarya University Journal of Computer and Information Sciences
Sakarya University Journal of Computer and Information Sciences
Pneumonia is a seasonal infectious lung tissue inflammatory disease. According to the World Health Organization (WHO), early diagnosis of the disease reduces the risk of its transmission and death. Various deep learning and machine learning algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89177ccaad58c9d050bb41fff36dcc0d
https://doi.org/10.35377/saucis.04.01.787030
https://doi.org/10.35377/saucis.04.01.787030
Autor:
Ebru ERDEM, Tolga AYDİN
Publikováno v:
Bilişim Teknolojileri Dergisi. 14:87-94
Meme kanseri, dünya genelinde kadınlarda, akciğer kanserinden sonra en çok rastlanan kanser türlerinden biridir. Kanserin erken teşhisi ve sınıflandırılması hastaların iyileşme sürecine olumlu etki edebilmektedir. Bu çalışmada, göğ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd604ea6a9acbc871cfaa1293e01d352
https://doi.org/10.17671/gazibtd.746673
https://doi.org/10.17671/gazibtd.746673
Publikováno v:
Expert Systems. 38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ed20da390728913b24b3fc40de35c3b
https://doi.org/10.1111/exsy.12752
https://doi.org/10.1111/exsy.12752
Autor:
Ebru Erdem, Tolga Aydin
Publikováno v:
Issue: 27 66-73
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Bu yazıda, COVID-19 hastalığı için hibrit bir sınıflandırma tekniği önerilmektedir. Önerilen model, iki sınıflı sınıflandırma problemini çözmektedir (covid, normal). Bu çalışmada, üstün derin öğrenme ve makine öğrenimi sı
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cca4e6e5f7a28b8b2807bbebe132173d
https://doi.org/10.31590/ejosat.936820
https://doi.org/10.31590/ejosat.936820
Autor:
Ebru Erdem, Tolga Aydin
COVID-19 is an important threat worldwide. This disease is caused by the novel SARS-CoV-2. CXR and CT images reveal specific information about the disease. However, when interpreting these images, experiencing an overlap with other lung infections co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90cf5f263d6672a2873348433d6040ca
https://doi.org/10.21203/rs.3.rs-65954/v2
https://doi.org/10.21203/rs.3.rs-65954/v2
