| Issue Date | Title | Author(s) |
1 | 2021 | Classification of Coronavirus (COVID-19) fromX-rayandCTimages using shrunken features | Öztürk, Şaban; Özkaya, Umut ; Barstuğan, Mücahid |
2 | 2021 | Coronavirus (Covid-19) classification using CT images by machine learning methods | Barstuğan, Mücahid ; Özkaya, U. ; Öztürk, Ş. |
3 | 2020 | Coronavirus (COVID-19) Classification Using Deep Features Fusion and Ranking Technique | Özkaya, U. ; Öztürk, Ş.; Barstugan, M. |
4 | 2022 | COVID-19 Isolation Control Proposal via UAV and UGV for Crowded Indoor Environments: Assistive Robots in the Shopping Malls | Aslan, Muhammet Fatih; Hasikin, Khairunnisa; Yusefi, Abdullah; Durdu, Akif ; Sabancı, Kadir; Azizan, Muhammad Mokhzaini |
5 | 2020 | FUSED DEEP FEATURES BASED CLASSIFICATION FRAMEWORK FOR COVID-19 CLASSIFICATION WITH OPTIMIZED MLP | Öztürk, Şaban; Yiğit, Enes; Özkaya, Umut |
6 | 2022 | Gaussian Regression Models for Day-Level Forecasting of COVID-19 in European Countries | Özkaya, Umut ; Öztürk, Şaban |
7 | 2022 | A 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 networks | Yaşar, Hüseyin; Ceylan, Murat |
8 | 2022 | A novel study to increase the classification parameters on automatic three-class COVID-19 classification from CT images, including cases from Turkey | Yaşar, Hüseyin; Ceylan, Murat ; Cebeci, Hakan; Kılınçer, Abidin; Kanat, Fikret; Koplay, Mustafa |