Kurum Yazarı "Kavuran, Gürkan" WoS İndeksli Yayınlar Koleksiyonu İçin Listeleme
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Fine-Tuning of Feedback Gain Control for Hover Quad Copter Rotors by Stochastic Optimization Methods
Ateş, Abdullah; Baykant Alagöz, Barış; Kavuran, Gürkan; Yeroğlu, Celaleddin (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 ... -
MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net
Kavuran, Gürkan; İn, Erdal; Altıntop Geçkil, Ayşegül; Şahin, Mahmut; Kırıcı Berber, Nurcan (Elsevier, 2022)COVID-19PneumoniaArtificial intelligence (AI)Deep learningComputed tomography (CT) -
MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net
Kavuran, Gürkan; İn, Erdal; Altıntop Geçkil, Ayşegül; Şahin, Mahmut; Kırıcı Berber, Nurcan (elsevier, 2022)Purpose The aim of this study was to establish and evaluate a fully automatic deep learning system for the diagnosis of COVID-19 using thoracic computed tomography (CT). Materials and methods In this retrospective study, ... -
On the modeling of the multi-segment capacitance: a fractional-order model and Ag-doped SnO2 electrode fabrication
Kavuran, Gürkan; Gurgenç, Turan; Özkaynak, Fatih (2022)This study proposes a methodology of electrochemical capacitor modeling via fractional-order impedance equation for porous electrodes fabricated with pure and Ag-doped SnO2 nanoparticles. It was carried out to prove the ... -
Prediction of the optimal FSW process parameters for joints using machine learning techniques
Sarsilmaz, Furkan; Kavuran, Gürkan (Walter de Gruyter GmbH, 2021)In this work, a couple of dissimilar AA2024/AA7075 plates were experimentally welded for the purpose of considering the effect of friction-stir welding (FSW) parameters on mechanical properties. First, the main mechanical ... -
SEM-Net: Deep features selections with Binary Particle Swarm Optimization Method for classification of scanning electron microscope images
Kavuran, Gürkan (Elsevier, 2021)Materials Science is increasingly handling artificial intelligence methods to address the complexity in the field of everyday life necessities. Researchers in both academia and industry are interested in imaging techniques ... -
When machine learning meets fractional-order chaotic signals: detecting dynamical variations
Kavuran, Gürkan (Elsevier, 2022)The challenge of classifying multivariate time series generated by discrete and continuous dynamical systems according to their chaotic or non-chaotic behavior has been studied extensively in the literature. The examination ...