Araştırma Çıktıları | Scopus İndeksli Yayınlar Koleksiyonu by İSTE Author "Uçar, Murat"
Now showing items 1-7 of 7
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Automated detection of Covid-19 disease using deep fused features from chest radiography images
Uçar, Emine; Atilla, Ümit; Uçar, Murat; Akyol, Kemal (Elsevier, 2021)The health systems of many countries are desperate in the face of Covid-19, which has become a pandemic worldwide and caused the death of hundreds of thousands of people. In order to keep Covid-19, which has a very high ... -
Automatic segmentation of COVID-19 from computed tomography images using modified U-Net model-based majority voting approach
Uçar, Murat (Springer, 2022)The coronavirus disease (COVID-19) is an important public health problem that has spread rapidly around the world and has caused the death of millions of people. Therefore, studies to determine the factors affecting the ... -
Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM
Uçar, Murat; Akyol, Kemal; Atila, Ümit; Uçar, Emine (Elsevier, 2021)Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as oto-endoscope and oto-microscope ... -
Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM
Uçar, Murat; Akyol, Kemal; Atilla, Ümit; Uçar, Emine (Elsevier, 2022)Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as otoendoscope and oto-microscope ... -
A novel image Denoising approach using super resolution densely connected convolutional networks
İncetaş, Mürsel Ozan; Uçar, Murat; Uçar, Emine; Köse, Utku (Springer, 2022)Image distortion effects, called noise, may occur due to various reasons such as image acquisition, transfer, and duplication. Image denoising is a preliminary step for many studies in the field of image processing. The ... -
Plant leaf disease classification using EfficientNet deep learning model
Atilla, Ümit; Uçar, Murat; Akyol, Kemal; Uçar, Emine (Elsevier, 2021)Most plant diseases show visible symptoms, and the technique which is accepted today is that an experienced plant pathologist diagnoses the disease through optical observation of infected plant leaves. The fact that the ... -
Prediction of sports attendance: A comparative analysis
Şahin, Mehmet; Uçar, Murat (SAGE Publications, 2022)In this study, a comparative analysis for predicting sports attendance demand is presented based on econometric, artificial intelligence, and machine learning methodologies. Data from more than 20,000 games from three major ...
