Zobrazeno 1 - 10
of 6 306
pro vyhledávání: '"Bayrakdar A"'
Autor:
Süleyman Furkan Çobankara
Publikováno v:
Turkish Journal of Diaspora Studies, Vol 2, Iss 1, Pp 83-86 (2022)
This book is a social scientific study with a unique design called by authors origin-oriented, multi-site and multi-generational (p.17) that tries to reveal the intergenerational consequences of the migration of Turks who immigrated to nine different
Externí odkaz:
https://doaj.org/article/1b00229e214b43f8aaadf569d24e03ff
Autor:
Kurt-Bayrakdar, Sevda, Uğurlu, Mehmet, Yavuz, Muhammet Burak, Sail, Nichal, Bayrakdar, İbrahim Şevki, Çelik, Özer, Köse, Oğuz, Bekien, Arzu, Sayian, Bilge Cansu Uzun, Jagtap, Rohan, Orhan, Kaan
Publikováno v:
Quintessence International; Sep2023, Vol. 54 Issue 8, p680-693, 14p
Autor:
BAŞYİĞİT, Türkan
Publikováno v:
Volume: 6, Issue: Special Issue (Özel Sayı) 2 47-52
Asya Studies
Asya Studies
20. yüzyılın en önemli icatlarından biri internettir. İnternetin hayatımıza girmesi ile kullanım alanı ve teknolojik dönüşümü yaşamlarımızı ve alışkanlıklarımızı önemli ölçüde değiştirdi. Bilgisayarlar çok büyük ciha
Autor:
BAYRAKDAR, Alpaslan1 alpaslan.bayrakdar@igdir.edu.tr
Publikováno v:
Journal of the Institute of Science & Technology / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Mar2024, Vol. 14 Issue 1, p219-230. 12p.
Autor:
Ayça Kurt, Dilara Nil Günaçar, Fatma Yanık Şılbır, Zeynep Yeşil, İbrahim Şevki Bayrakdar, Özer Çelik, Elif Bilgir, Kaan Orhan
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background This study aims to evaluate the performance of a deep learning system for the evaluation of tooth development stages on images obtained from panoramic radiographs from child patients. Methods The study collected a total of 1500 im
Externí odkaz:
https://doaj.org/article/1848ea4494f24be89e4055ea55193318
Autor:
Busra Beser, Tugba Reis, Merve Nur Berber, Edanur Topaloglu, Esra Gungor, Münevver Coruh Kılıc, Sacide Duman, Özer Çelik, Alican Kuran, Ibrahim Sevki Bayrakdar
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Objectives In the interpretation of panoramic radiographs (PRs), the identification and numbering of teeth is an important part of the correct diagnosis. This study evaluates the effectiveness of YOLO-v5 in the automatic detection, segmentat
Externí odkaz:
https://doaj.org/article/1dfb768d52924928ae40ea86d4878a4e
Autor:
Hannah Hussamy
Publikováno v:
Film Quarterly. 76:117-119
Autor:
Zehra Beycioglu, Buket Acar, Mert Ocak, Ibrahim Sevki Bayrakdar, Guliz N. Guncu, Abdullah C. Akman
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background The purpose of this study was to investigate the morphology of maxillary first premolar mesial root concavity and to analyse its relation to periodontal bone loss (BL) using cone beam computed tomography (CBCT) and panoramic radio
Externí odkaz:
https://doaj.org/article/170366514e0d4613b4c1564b9b35a332
Autor:
Pelin Senem Ozsunkar, Duygu Çelİk Özen, Ahmed Z Abdelkarim, Sacide Duman, Mehmet Uğurlu, Mehmet Rıdvan Demİr, Batuhan Kuleli, Özer Çelİk, Busra Seda Imamoglu, Ibrahim Sevki Bayrakdar, Suayip Burak Duman
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Deep learning model trained on a large image dataset, can be used to detect and discriminate targets with similar but not identical appearances. The aim of this study is to evaluate the post-training performance of the CNN-based Y
Externí odkaz:
https://doaj.org/article/d81690ea29474ab9a5a5c20b9e4cbb55
Autor:
Sevda Kurt-Bayrakdar, İbrahim Şevki Bayrakdar, Muhammet Burak Yavuz, Nichal Sali, Özer Çelik, Oğuz Köse, Bilge Cansu Uzun Saylan, Batuhan Kuleli, Rohan Jagtap, Kaan Orhan
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background This retrospective study aimed to develop a deep learning algorithm for the interpretation of panoramic radiographs and to examine the performance of this algorithm in the detection of periodontal bone losses and bone loss pattern
Externí odkaz:
https://doaj.org/article/d2ab7881ae44451cad7cf9ff73860477