Yazar "Kurban, Rifat" için listeleme
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Classification of apple images using support vector machines and deep residual networks
Adige, Sevim; Kurban, Rifat; Durmus, Ali; Karakose, Ercan (SPRINGER, 2023)One of the most important problems for farmers who produce large amounts of apples is the classification of the apples accordingtotheir typesinashorttimewithouthandlingthem. Supportvectormachines(SVM) anddeepresidualnetw ... -
Gaussian of Differences: A Simple and Efficient General Image Fusion Method
Kurban, Rifat (MDPI, 2023)The separate analysis of images obtained from a single source using different camera settings or spectral bands, whether from one or more than one sensor, is quite difficult. To solve this problem, a single image containing ... -
Investigation of the performance and properties of ZnO/GO double-layer supercapacitor
Büyükkürkçü, Handan; Durmuş, Ali; Çolak, Hakan; Kurban, Rifat; Şahmetlioğlu, Ertuğrul; Karaköse, Ercan (ELSEVIER, 2024)Composite electrode material was formed by mixing reduced graphene oxide (rGO) and zinc oxide (ZnO) compound, using the Hummers and green synthesis methods, respectively. Of rGO powder, 10 g was mixed with 10%, 20% and 30% ... -
Investigation of the structural and magnetic properties of rapidly solidified Nd–Fe–B–Ce alloys
Aytekin, Orkun; Kurban, Rifat; Durmuş, Ali; Çolak, Hakan; Karaköse, Ercan (SPRINGER LINK, 2024)This study introduces the frst literature report of rapidly solidifed Nd–Fe–B– Ce alloys fabricated using the melt-spinning technique at varying disc rotation speeds. The resulting alloy images are then analyzed using ... -
Multi-focus image fusion by using swarm and physics based metaheuristic algorithms: a comparative study with archimedes, atomic orbital search, equilibrium, particle swarm, artificial bee colony and jellyfish search optimizers
Çakıroğlu, Fatma; Kurban, Rifat; Durmuş, Ali; Karaköse, Ercan (SPRINGER, 2023)The lenses focus only on the objects at a specific distance when an image is captured, the objects at other distances look blurred. This is referred to as the limited depth of field problem, and several attempts exist to ... -
Re-exploring the Kayseri Culture Route by Using Deep Learning for Cultural Heritage Image Classification Cultural Heritage Image Classification by Using Deep Learning: Kayseri Culture Route
Kevseroğlu, Ozlem; Kurban, Rifat (Association for Computing Machinery, 2024)The categorization of images captured during the documentation of architectural structures is a crucial aspect of preserving cultural heritage in digital form. Dealing with a large volume of images makes this categorization ...
