Bölüm "MTÖ Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü" Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed için listeleme
Toplam kayıt 11, listelenen: 1-11
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Classification of the weather images with the proposed hybrid model using deep learning, SVM classifier, and mRMR feature selection methods
(2022)As in many fields, the use of artificial intelligence methods in the classification of weather images will be very useful. In this study, a data set consisting of five classes such as cloudy, foggy, rainy, shine, and sunrise ... -
Comparison of Standard and Pretrained CNN Models for Potato, Cotton, Bean and Banana Disease Detection
(Malatya Turgut Ozal University, 2021)Plant diseases lead to a significant decrease in product efficiency and economic losses for producers. However, early detection of plant diseases plays an important role in preventing these losses. Today, Convolutional ... -
An effective Turkey marble classification system: Convolutional neural network with genetic algorithm -wavelet kernel - Extreme learning machine
(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
(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 ... -
Experimental investigation on the temperature distribution within a cylindrical adiabatic container as time-dependent and conjugate
(Elsevier, 2021)In this study, the time dependent heating of a solid cylindrical body replaced within an isolated cylindrical container and reciprocally the simultaneous heating of the fluid (air/water) inside the container is experimentally ... -
Fine-Tuning of Feedback Gain Control for Hover Quad Copter Rotors by Stochastic Optimization Methods
(Springer, 2020)Three degree of freedom (3 DOF) Hover Quad Copter (HQC) platforms are implemented for various missions in diverse scales from the micro to macro platforms. As HQC platforms scale down, micro platform requires rather robust ... -
Hurricane-Faster R-CNN-JS: Hurricane detection with faster R-CNN using artificial Jellyfish Search (JS) optimizer
(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 ... -
Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?
(Elsevier B.V. All, 2022)Cholesteatoma is an aggressive form of chronic otitis media (COM). For this reason, it is important to distinguish between COM with and without cholesteatoma. In this study, the role of artificial intelligence modelling ... -
A new 3D segmentation approach using extreme learning machine algorithm and morphological operations
(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 ... -
A New Secure and Efficient Approach for TRNG and Its Post-Processing Algorithms
(World Scientific, 2020)Chaotic systems; post-processing; post-processing algorithm; secure random numbers -
UC-merced image classification with CNN feature reduction using wavelet entropy optimized with genetic algorithm
(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 ...