Kurum Yazarı "Korkmaz, Deniz" WoS İndeksli Yayınlar Koleksiyonu İçin Listeleme
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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 ... -
An improved residual-based convolutional neural network for very short-term wind power forecasting
Yıldız, Ceyhun; Açıkgöz, Hakan; Korkmaz, Deniz; Budak, Ümit (ELSEVIER, 2021)An accurate forecast of wind power is very important in terms of economic dispatch and the operation of power systems. However, effectively mitigating the risks arising from wind power in power system operations greatly ... -
A novel ship classification network with cascade deep features for line-of-sight sea data
Ucar, Ferhat; Korkmaz, Deniz (2021)In ship classifcation, selecting distinctive features and designing a proper classifer are two key points of the process. As a lack of most of the studies, these two essential points are considered separately. In this ... -
A Novel Short-Term Photovoltaic Power Forecasting Approach based on Deep Convolutional Neural Network
Korkmaz, Deniz; Açıkgöz, Hakan; Yıldız, Ceyhun (2021)In this study, a novel photovoltaic power forecasting system that utilizes a deep Convolutional Neural Network (CNN) structure and an input signal decomposition algorithm is proposed. The proposed CNN architecture extracts ... -
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 ...