ORCID "0000-0002-5159-0659" Elektrik-Elektronik Mühendisliği Bölümü Koleksiyonu için listeleme
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Altitude and Attitude Control of a Quadcopter Based on Neuro-Fuzzy Controller
Korkmaz, Deniz; Açıkgöz, Hakan; Üstündağ, Mehmet (Springer Science and Business Media Deutschland GmbH, 2022)In this paper, a 6-degrees of freedom (DoF) nonlinear dynamic model of the quadcopter is derived and a robust altitude and attitude control is proposed. The motion control is performed with four neuro-fuzzy controllers ... -
COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
Uçar, Ferhat; Korkmaz, Deniz (Elsevier, 2020)The Coronavirus Disease 2019 (COVID-19) outbreak has a tremendous impact on global health and the daily life of people still living in more than two hundred countries. The crucial action to gain the force in the fight of ... -
An efficient fault classification method in solar photovoltaic modules using transfer learning and multi-scale convolutional neural network
Korkmaz, Deniz; Açıkgöz, Hakan (Elsevier, 2022)Photovoltaic (PV) power generation is one of the remarkable energy types to provide clean and sustainable energy. Therefore, rapid fault detection and classification of PV modules can help to increase the reliability of ... -
Long Short-Term Memory Network-based Speed Estimation Model of an Asynchronous Motor
Açıkgöz, Hakan; Korkmaz, Deniz (IEEE (Institute of Electrical and Electronics Engineers), 2021)In this paper, an effective deep rotor speed estimation model of an asynchronous motor is presented. The estimation model is based on the long short-term memory (LSTM) network which is one of the deep learning models. The ... -
SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
Korkmaz, Deniz (Elsevier, 2021)Photovoltaic (PV) power generation has high uncertainties due to the randomness and imbalance nature of solar energy and meteorological parameters. Hence, accurate PV power forecasts are essential in the operation of PV ... -
WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
Açıkgöz, Hakan; Budak, Ümit; Korkmaz, Deniz; Yıldız, Ceyhun (Elsevier, 2021)This paper introduces a novel deep neural network (WSFNet) to efficiently forecast multi-step ahead wind speed. WSFNet forms the basis of the stacked convolutional neural network (CNN) with dense connections of different ...