İstatistik Bölümü Tez Koleksiyonu
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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 ... -
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 ... -
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. ... -
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 ... -
Bağ Bilgisi Olduğunda Sıralı Küme Örneklemesinde Yeni Tahmin Ediciler
(Fen Bilimleri Enstitüsü, 2021)Ranked set sampling is a frequently used sampling method developed as an alternative to the simple random sampling. In this sampling method, rankers are expected to rank the units within the set correctly, even with ... -
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 ... -
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 ... -
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 ... -
Cox Regresyon Yönteminde Değişken Seçim Yöntemleri
(Fen Bilimleri Enstitüsü, 2022)In survival analysis, the Cox regression model is used to model the relationship between survival time and one or more covariates. When modeling, it is important to determine which covariates should or should not be included ... -
Basit rastgele örneklemede cevapsızlık durumunda kitle ortalaması için tahmin edici önerileri
(Fen Bilimleri Enstitüsü, 2022)There is an approach in which information about various variables in the estimators used for the estimation of unknown population parameters is fully obtained and there is no missing information. Despite this approach in ... -
Gözetim Videolarında Anomali Tespit Yöntemlerinin Karşılaştırmalı Bir Değerlendirmesi
(Fen Bilimleri Enstitüsü, 2022)The data generated by the camera needs to be analyzed for various reasons. The most important of these is for security reasons. Undesirable and rare events that occurs in videos are considered an anomaly. In recent years, ... -
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 ... -
Göreli Yaşam Çözümlemesi
(Fen Bilimleri Enstitüsü, 2022)In observational survival analysis studies with long follow-up periods, cause of death information may not be available or there may be some lack of information. In survival analysis, it may not be possible to directly ... -
Covid-19 Salgınının Borsa İstanbul’da İşlem Gören Bilişim Sektörü Şirketlerinin Finansal Performansına Etkisinin Veri Zarflama Analizi ile Değerlendirilmesi
(Fen Bilimleri Enstitüsü, 2022)Epidemic etc. changing conditions affect human as well as companies with legal entities that are based on human. This effect also affects the periodical data of the companies and the financial ratios obtained from these ... -
Seyahat Süresi Değişkenliğinin Analizi ve Yapay Sinir Ağları ile Seyahat Süresinin Tahmini
(Fen Bilimleri Enstitüsü, 2022)Analysis of travel times helps people determine their travel behavior. Knowing the variability and reliability of previous travel times when going from one place to another can make good use of time. In this study, the ... -
Farklı Sıralı Küme Örnekleme Yöntemlerine Dayalı Güvenilirlik Tahmini
(Fen Bilimleri Enstitüsü, 2022)In the literature, the system reliability R=P(Y<X) estimation, with X power and Y stress, is generally considered based on the simple random sampling (SRS) method. However, recent studies have proven that R estimation based ...
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