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    Hybrid Content-Based Image Retrieval System for a Comprised 27-Class Euphorbia Seed Dataset Using Deep Feature Fusion
    (Ankara Üniversitesi, 2025) Kürşat, Murat; Karaduman, Mücahit; Mutlu, Hursit Burak; Emre, İrfan; Yıldırım, Muhammed
    Content-based Image Retrieval (CBIR) systems have been used frequently in recent years, along with developing technology. Especially in large datasets, retrieval-based systems produce more successful results. This study created a dataset consisting of 27 different Euphorbia seed types belonging to the same genus. It is difficult for Convolutional Neural Network (CNN) architectures to produce successful results in the created dataset. In addition, the high computational and memory requirements of CNN architectures have further increased the need for CBIR systems in large datasets. Therefore, a hybrid retrieval system was developed to make inferences from 27 different seed images. In the developed system, feature extraction was performed using Darknet53, Xception, and Densenet201 architectures. These extracted features were concatenated to bring together different features of the same image. Then, unnecessary features were eliminated from the combined features with the Neighborhood Component Analysis (NCA) method. The cosine similarity measurement metric was used to measure the similarity between the query image and other images. Precision-recall curves and Average Precision (AP) metrics were used to measure the performance of the proposed retrieval-based system. In the study, an average AP value of 0.96809 was obtained. The morphology of the seeds is a critical characteristic of Euphorbia, and this work has validated the artificial intelligence methodology.
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    Üç Temel Kesir Dereceli Türev Tanımına Göre Matlab Ortamında Kesir Dereceli Türev Hesaplamaları
    (Malatya Turgut Özal Üniversitesi, 2019) Varjovi, Mahdi Hatami; Öztemiz, Furkan; Donuk, Kenan; Toptaş, Buket; Fırat, Hüseyin; Karaduman, Mücahit; İnan, Mevlüt
    Bu çalışmada literatürde kabul görmüş üç farklı kesir derece türev tanımı olan Caputo tanımı, Grunwald-Letnikov tanımı ve Laplace kuvvet fonksiyonu türev genellemesine göre Matlab ortamında kesir dereceli türev hesaplamaları yapılmıştır. Hesaplama sonuçları ve çalışmada kullanılan Matlab kodları paylaşılmıştır. Hesaplamalar temel matematiksel fonksiyonlar olan f (t) = et , f (t) = sin(t) ve polinomlar için gerçekleştirilmiştir. Yöntemlerin performansı sonuçların birinci derece türev sonuçları ile karşılaştırılması ile gerçekleştirilmiştir.