Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Orhan Yaman"'
Autor:
Kübra Demir, Orhan Yaman
Publikováno v:
Firat University Journal of Experimental and Computational Engineering, Vol 3, Iss 1, Pp 1-10 (2024)
Underwater garbage affects the life of marine creatures and the entire ecosystem. Detecting underwater garbage is an important research area. In this study, a method is proposed to detect underwater garbage. The open-access Trash-ICRA19 dataset was u
Externí odkaz:
https://doaj.org/article/70e0c76c11f64128a2eb2712d6c58ac4
Publikováno v:
The Journal of Engineering, Vol 2021, Iss 2, Pp 85-96 (2021)
Abstract Hyperspectral images are used to produce effective solutions in many areas due to the number of information they have. However, the number of information they provide may not bring an advantage always, in contrast, it may cause confusion som
Externí odkaz:
https://doaj.org/article/8d27e69d0fd14e5a924641ad2025ee17
Autor:
Sabiha Gungor Kobat, Nursena Baygin, Elif Yusufoglu, Mehmet Baygin, Prabal Datta Barua, Sengul Dogan, Orhan Yaman, Ulku Celiker, Hakan Yildirim, Ru-San Tan, Turker Tuncer, Nazrul Islam, U. Rajendra Acharya
Publikováno v:
Diagnostics, Vol 12, Iss 8, p 1975 (2022)
Diabetic retinopathy (DR) is a common complication of diabetes that can lead to progressive vision loss. Regular surveillance with fundal photography, early diagnosis, and prompt intervention are paramount to reducing the incidence of DR-induced visi
Externí odkaz:
https://doaj.org/article/bd1565388d9a49d985497b5c1d5d5814
Publikováno v:
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol 21, Iss 4, Pp 724-739 (2017)
Elektrikli trenler, günümüzde yaygın olarak kullanılan, önemli bir ulaşım türüdür. Diğer ulaşım türleri ile karşılaştırıldığında elektrikli trenlerin güç tüketimi ve çevre kirliliğine olan etkisi daha azdır. Ayrıca konfo
Externí odkaz:
https://doaj.org/article/29d0fbca0226411bb49fa2e765b099af
Autor:
Abdullah Dogan, Prabal Datta Barua, Mehmet Baygin, Turker Tuncer, Sengul Dogan, Orhan Yaman, Ali Hikmet Dogru, Rajendra U. Acharya
Publikováno v:
International Journal of Healthcare Management. :1-14
Autor:
Tarık Kıvrak, Burcu Yagmur, Hilal Erken, Derya Kocakaya, Turker Tuncer, Şengül Doğan, Orhan Yaman, Umit Yasar Sinan, Sena Sert Sekerci, Cagri Yayla, Ufuk Iyigun, Mehmet Kis, Ozkan Karaca, Emrah Yesil, Elif Ilkay Yuce Ersoy, Bahar Tekin Tak, Ahmet Oz, Mehmet Kaplan, Zeynep Ulutas, Gamze Yeter Aslan, Nihan Kahya Eren, Fatma Nihan Turhan Caglar, Hatice Solmaz, Ozge Ozden, Hakan Gunes, Umut Kocabas, Mustafa Yenercag, Omer Isık, Cem Yesilkaya, Ali Nail Kaya, Sefa Erdi Omur, Anil Sahin, Erdal In, Nurcan Kırıcı Berber, Cigdem Ileri Dogan, Fatih Poyraz, Emin Erdem Kaya, Ayca Gumusdag, Omer Kumet, Hakki Kaya, Remzi Sarikaya, Seda Turkan Tan, Hidayet Ozan Arabaci, Rengin Cetin Guvenc, Mehtap Yeni, Burcak Kılıckıran Avci, Dilek Cicek Yilmaz, Ahmet Celik, Berkay Ekici, Aycan Fahri Erkan, Veysel Ozgur Baris, Taner Seker, Ferit Böyük, Mehmet Mustafa Can, Hasan Gungor, Hakki Simsek, Bedrettin Yildizeli, Mehmet Ali Kobat, Mehmet Akbulut, Mehdi Zoghi, Omer Kozan
An accurate diagnosis of pulmonary hypertension (PH) is crucial to ensure that patients receive timely treatment. One of the used imaging models to detect pulmonary hypertension is the X-ray. Therefore, a new automated PH-type classification model ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd7e4600e5a86aea7b9577ca1fdc6a04
https://doi.org/10.1101/2023.04.14.23288561
https://doi.org/10.1101/2023.04.14.23288561
Publikováno v:
Multimedia Tools and Applications.
Autor:
Orhan Yaman, Turker Tuncer
Publikováno v:
Multimedia Tools and Applications. 82:9961-9985
Autor:
Orhan Yaman, Türker Tuncer
Publikováno v:
Acta Infologica.