Ara
Toplam kayıt 35, listelenen: 21-30
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, ...
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 ...
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 ...
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 ...
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 ...
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 ...