Zobrazeno 1 - 10
of 826
pro vyhledávání: '"Birant, A."'
Autor:
Sinem Birant, Burak Gümüştaş
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background The aim of this study is to evaluate the surface microhardness, surface chemical composition of bioactive restorative materials pre- and post- thermal aging. Method A total of 200 disc-shaped samples were prepared by using the mat
Externí odkaz:
https://doaj.org/article/db8de2f707f447dab6f7d8e171897346
Autor:
Sinem Birant, Sabiha Ceren İlisulu, Senem Kılıç, Zeynep Tunca, Hazal Özcan, Tunç Akkoç, Figen Seymen
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background The aim of this study is to examine the cytotoxic effects of dental gels with different contents, which are frequently used during teething, on gingival mesenchymal stem cells (G-MSCs). Method The teething gels used in this study
Externí odkaz:
https://doaj.org/article/25ef7ee07c644522a6e05c451cd716e2
Publikováno v:
Mathematics, Vol 12, Iss 18, p 2825 (2024)
This paper introduces a novel classification method for multi-class multi-label datasets, named multi-class multi-label logistic model tree (MMLMT). Our approach supports multi-label learning to predict multiple class labels simultaneously, thereby e
Externí odkaz:
https://doaj.org/article/9e6fffef31dd428babc24e69e91a727e
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2794 (2024)
Financial forecasting involves predicting the future financial states and performance of companies and investors. Recent technological advancements have demonstrated that machine learning-based models can outperform traditional financial forecasting
Externí odkaz:
https://doaj.org/article/4295a188481543df83ca15fcbaefad6f
Autor:
YÜREK, Özlem Ece1, BİRANT, Derya2 derya@cs.deu.edu.tr
Publikováno v:
Turkish Journal of Electrical Engineering & Computer Sciences. 2024, Vol. 32 Issue 4, p534-554. 21p.
Publikováno v:
Animals, Vol 14, Iss 14, p 2021 (2024)
Federated learning is a collaborative machine learning paradigm where multiple parties jointly train a predictive model while keeping their data. On the other hand, multi-label learning deals with classification tasks where instances may simultaneous
Externí odkaz:
https://doaj.org/article/fe334054639c417eb57f38821d74cf9e
Publikováno v:
Entropy, Vol 26, Iss 5, p 403 (2024)
In a standard binary supervised classification task, the existence of both negative and positive samples in the training dataset are required to construct a classification model. However, this condition is not met in certain applications where only o
Externí odkaz:
https://doaj.org/article/a659d03b2dcb4c64bf011c74bb6aafa7
Publikováno v:
In Solar Energy 15 July 2024 277
Publikováno v:
Journal of Dental Sciences, Vol 18, Iss 4, Pp 1778-1785 (2023)
Background/purpose: Radiographs provide critical information on developmental and eruption problems, detection of interface caries, pulpal and periapical pathologies in clinical examination. This study aimed to evaluate parents' knowledge, attitudes
Externí odkaz:
https://doaj.org/article/129a5ee133e94f4aaf68e237892e1779
Autor:
Sabiha Ceren İlisulu, Sinem Birant, Yelda Kasimoglu, Mine Koruyucu, Elif Bahar Tuna İnce, Figen Seymen
Publikováno v:
Journal of Dental Sciences, Vol 18, Iss 4, Pp 1859-1866 (2023)
Abstract Background/purpose: Twin studies are crucial to assess the relative contribution of genetic and environmental factors. This study was conducted to evaluate association between deleterious oral habits and dental caries–periodontal parameter
Externí odkaz:
https://doaj.org/article/f3d314cf4cb24e67b3f00b000138156d