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Covid-19 Verileri İçin Bayes Ağları İle Makine Öğrenmesi
(Fen Bilimleri Enstitüsü, 2022)
The Covid-19 pandemic emerged on November 17, 2019, in Wuhan Province of China. The outbreak was initially detected in those found in the seafood and animal market in this region. Later, it spread from person to person and ...
Aykırı Değerler Varlığında Sınıflandırma Yöntemleri
(Fen Bilimleri Enstitüsü, 2023)
In the field of data mining, the importance of classification techniques categorized under supervised learning is increasing with the constantly changing, diversifying and multiplying data. This variety in data creates the ...
Biyomedikal Görüntülerin Sınıflandırılması için Yeni Bir Evrişimli Sinir Ağı Mimarisi
(Fen Bilimleri Enstitüsü, 2023)
Convolutional neural networks (CNN) are a specialized version of deep learning and widely used among artificial intelligence algorithms recently. It can easily distinguish complex data such as biomedical images. In this ...
Tümörlü Beyin Hücreleri Tespitinde Öğrenme Aktarımıyla Derin Sinir Ağlarının Uygulanması
(Fen Bilimleri Enstitüsü, 2023-07-14)
This thesis examines the effectiveness and applicability of deep learning models in medical image analysis. Specifically, it focuses on the classification of magnetic resonance images (MRI) containing tumors of various ...
Makine Öğrenme Yaklaşımlarının Biyoinformatikte İlaç Geliştirme Probleminde Kullanılması
(Fen Bilimleri Enstitüsü, 2023)
Humans are at the center of the drug research and development process. It is aimed to
help the patient overcome his illness and improve his quality of life. In the drug
development process, innovative drugs are aimed ...