Browsing by Author "Uçar, Murat"
Now showing items 1-13 of 13
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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 ... -
Computer-Aided Detection of Lung Nodules in Chest X-Rays using Deep Convolutional Neural Networks
Uçar, Murat; Uçar, Emine (Sakarya Üniversitesi Bilgisayar ve Bilişim Bilimleri Dergisi (Online), 2019)Chest X-Rays are most accessible medical imaging technique for diagnosing abnormalities in the heart and lung area. Automatically detecting these abnormalities with high accuracy could greatly enhance real world diagnosis ... -
Deep neural network model with Bayesian optimization for tuberculosis detection from X-Ray images
Uçar, Murat (Springer, 2023)Tuberculosis is a chronic lung disease caused by bacterial infection, and more than 10 million people get this disease every year, especially in developing countries. Early diagnosis of tuberculosis is important for effective ... -
Glokom Hastalığının Evrişimli Sinir Ağı Mimarileri ile Tespiti
Uçar, Murat (Dokuz Eylül Üniversitesi Mühendislik Fakültesi, 2021)Glokom, genellikle göz içi basıncının yükselmesi nedeniyle optik sinire zarar veren bir hastalıktır ve dünya genelinde geri döndürülemez körlüğün yaygın bir sebebidir. Ancak hastalık erken dönemde tespit edilebilirse ... -
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 ... -
Phishing Detection System Using Extreme Learning Machines with Different Activation Function based on Majority Voting
Uçar, Murat (Gazi Üniversitesi, 2022)Phishing is a type of software-based cyber-attack carried out to steal private information such as login credentials, user passwords, and credit card information. When the security reports published in recent years are ... -
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 ... -
A Stacking Ensemble Learning Approach for Intrusion Detection System
Uçar, Murat; Uçar, Emine; İncetaş, Mürsel Ozan (Düzce Üniversitesi, 2021)Intrusion detection systems (IDSs) have received great interest in computer science, along with increased network productivity and security threats. The purpose of this study is to determine whether the incoming network ... -
Using Machine Learning Algorithms for Jumping Distance Prediction of Male Long Jumpers
İncetaş, Mürsel Ozan; Uçar, Murat; Bayraktar, Işık; Çilli, Murat (Journal of Intelligent Systems: Theory and Applications, 2022)The long jump is defined as an athletic event, and it has also been a standard event in modern Olympic Games. The purpose of the athletes is to make the distance as far as possible from a jumping point. The main purpose ...
