Yazar "Sert, Eser" için listeleme
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An effective Turkey marble classification system: Convolutional neural network with genetic algorithm -wavelet kernel - Extreme learning machine
Avcı, Derya; Sert, Eser (IIETA International Information and Engineering Technology Association, 2021)Marble is one of the most popular decorative elements. Marble quality varies depending on its vein patterns and color, which are the two most important factors affecting marble quality and class. The manual classification ... -
Ensemble Residual Network Features and Cubic-SVM Based Tomato Leaves Disease Classification System
Özyurt, Fatih; Sert, Eser; Avcı, Derya (International Information and Engineering Technology Association, 2022)The need for automatic disease detection applications that can help farmers in the detection of agricultural product diseases is increasing day by day. Convolutional Neural Network (CNN) is a very popular field in image ... -
Hurricane-Faster R-CNN-JS: Hurricane detection with faster R-CNN using artificial Jellyfish Search (JS) optimizer
Kızıloluk, Soner; Sert, Eser (SPRINGER, 2022)A hurricane is a type of storm called tropical cyclone (TC) and is likely to lead to severe storms and heavy rains. An early detection of hurricanes using satellite images can alarm people about upcoming disasters and thus ... -
A new 3D segmentation approach using extreme learning machine algorithm and morphological operations
Kaya, Ertuğrul; Sert, Eser (Elsevier, 2020)Segmentation is one of the most crucial steps of image processing. Because 3D images contain depth information, they have gradually gained importance for numerical systems in image analysis. In the present study, a new 3D ... -
UC-merced image classification with CNN feature reduction using wavelet entropy optimized with genetic algorithm
Özyurt, Fatih; Ava, Engin; Sert, Eser (International Information and Engineering Technology Association, 2020)The classification of high-resolution and remote sensed terrain images with high accuracy is one of the greatest challenges in machine learning. In the present study, a novel CNN feature reduction using Wavelet Entropy ...