02.04. Department of Electrical and Electronics Engineering

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Subject:  Deep learning

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Issue DateTitleAuthor(s)
12023Cloud environment-based super resolution application for thermal images using the new approach TSRGAN plus modelSenalp, Fatih Mehmet; Orhan, Batuhan; Ceylan, Murat 
22020Coronavirus (COVID-19) Classification Using Deep Features Fusion and Ranking TechniqueÖzkaya, U. ; Öztürk, Ş.; Barstugan, M. 
32020Düşük Çözünürlüklü Termal Yüz Görüntü Çözünürlüğünün Derin Öğrenme İle ArtırılmasıŞenalp, Fatih Mehmet; Ceylan, Murat 
42022Fast Evaluation of Unhealthy and Healthy Neonates Using Hyperspectral Features on 700-850 Nm Wavelengths, ROI Extraction, and 3D-CNNCihan, Mücahit; Ceylan, Murat ; Soylu, H.; Konak, M.
52020Gastrointestinal tract classification using improved LSTM based CNNÖztürk, Şaban; Özkaya, Umut 
62023Identification of asynchronous motor and transformer situations in thermal images by utilizing transfer learning-based deep learning architecturesSakalli, Gönül; Koyuncu, Hasan 
72021Mask Detection from Face Images Using Deep Learning and Transfer LearningÖrnek, Ahmet Haydar; Çelik, Mustafa; Ceylan, Murat 
82022Medical thermograms' classification using deep transfer learning models and methodsÖrnek, Ahmet Haydar; Ceylan, Murat 
92021A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networksYaşar, Hüseyin; Ceylan, Murat 
102022A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networksYaşar, Hüseyin; Ceylan, Murat 
112022Visual-Inertial Image-Odometry Network (VIIONet): A Gaussian process regression-based deep architecture proposal for UAV pose estimationAslan, Muhammet Fatih; Durdu, Akif ; Sabancı, Kadir