Výsledky vyhledávání - "Gürkan, Çağlar"

Akademický článek

Mask R-CNN kullanılarak yeni bir MRG veri tabanında prostat bölgelerinin segmentasyonu: PACS sistemi üzerinde bir uygulama.

Autor: Gürkan, Çağlar^1,2 caglar.gurkan@outlook.com, Budak, Abdulkadir¹ kadir.budak@akgun.com.tr, Karatas, Hakan¹ hakan.karatas@akgun.com.tr, Akın, Kayıhan³ kayihanakin@gmail.com

Publikováno v: Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. 2024, Vol. 39 Issue 3, p1401-1416. 16p.

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Kişisel Bilgiler ve Günlük Aktiviteler Gibi Tetikleyicilerin Migren Atağı Üzerindeki Etkilerinin Makine ve Derin Öğrenme Yaklaşımları ile Analizi

Autor: GÜRKAN, Çağlar, KOZALIOĞLU, Sude, PALANDÖKEN, Merih

Publikováno v: Issue: 28 1233-1236
Avrupa Bilim ve Teknoloji Dergisi

Migraine the third most common disease in the world, is negatively affected the quality of life of patients. The effect of personal information and genetic characteristics on migraine disease is known. It is quite important to analysed data in the fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::ab25723da22b73a8251ac5a9a1e26bef
https://dergipark.org.tr/tr/pub/ejosat/issue/64234/1014212

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Android Tabanlı QR Kod Teknolojisi ile Desteklenen Envanter Takip Sisteminin Geliştirilmesi

Autor: GÜRKAN, Çağlar, PALANDÖKEN, Merih

Publikováno v: Issue: 28 1229-1232
Avrupa Bilim ve Teknoloji Dergisi

In recent years, with the development of technology, many activities in our daily life have become easier. These technological developments have started a transformation era in the industry in addition to our daily life. As a result of the technologi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::a7c72f13d21ce145936e4a4e2fea2707
https://dergipark.org.tr/tr/pub/ejosat/issue/64234/1014193

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EGA-Net: Endüstri 4.0 ve Dijital Dönüşüm Döneminde Üretim Çalışanlarının Yüz İfadesi, Yaş ve Cinsiyetlerinin Derin Öğrenme Yöntemleri ile Analizi

Autor: GÜRKAN, Çağlar, PALANDÖKEN, Merih

Publikováno v: Volume: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium, Issue: Special 70-81
Computer Science

Nowadays, analysis of people's facial expressions, age, and gender by computer has become a considerable research topic together with technological advances in the area of human-machine interaction research. To provide this analysis, convolutional ne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::651b026ceb9ba98dd96893d4dab4ecaa
https://dergipark.org.tr/tr/pub/bbd/issue/65392/990893

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