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Now showing items 101-110 of 112
Sağlam Kestiricilere Dayalı Varyans Analizi
(Fen Bilimleri Enstitüsü, 2023)
Certain assumptions must be provided in the Analysis of Variance (ANOVA) calculated over sample means. If the assumptions are not met, the Analysis of Variance cannot fully reveal the real group differences, and in this ...
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 ...
BİRİNCİ DERECEDEN TAM SAYI DEĞERLİ OTOREGRESYON MODELLERİNİN İNCELENMESİ
(Fen Bilimleri Enstitüsü, 2023)
The Poisson distribution is often used for the distribution of errors in integer-valued autoregressive models. However, the mean of the distribution is equal to its variance and is suitable for equally distributed series. ...
Recurrent Neural Networks for Complex Survival Problems
(Fen Bilimleri Enstitüsü, 2023)
In this study, we introduce a novel deep learning technique (CmpXRnnSurv_AE) that obliterates the limitations imposed by traditional approaches and addresses the limitations of the existing deep learning systems to jointly ...
Genetik Algoritma ve K-Ortalamalar Algoritmasının Tavsiye Sistemleri İçin Uygulanması
(Fen Bilimleri Enstitüsü, 2023)
As there is an increasing emphasis on customer satisfaction, businesses are aiming to discover their customers' interests and preferences. Therefore, providing suitable products or services is crucial in today's competitive ...
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 ...
Çok Durumlu Modellerde Geçiş Olasılıklarının Tahmini
(Fen Bilimleri Enstitüsü, 2023-06)
The time until an event occurs is examined in survival analysis. During the time that an individual or a unit under examination passes from the starting state to the final state, other situations may occur and transitions ...
Evrişimsel Sinir Ağları Kullanarak Sondaj Karot Sandıklarının İncelenmesi ve Tenör Tahmini
(Fen Bilimleri Enstitüsü, 2023)
Mining companies have allocated approximately 10 billion USD for the exploration and investigation of new mines in 2018. Drilling has been a long-standing method for the exploration of underground mineral deposits. By using ...
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 ...
Kopula Fonksiyonları ve Kripto Para Birimlerine Bir Uygulama
(Fen Bilimleri Enstitüsü, 2023)
Cryptocurrency that we hear frequently today first entered our lives in 2009 with Bitcoin.
While cryptocurrencies are highly volatile, their risk levels are mostly unknown. It is
important for investors to know the risk ...