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Conference Object Yazilim Mühendisligi Egitiminde Bitirme Projesinin Yürütülmesinde İki Farkli Yöntemin Ögrenci Bakis Açisiyla Degerlendirilmesi(CEUR-WS, 2015) Karakaya,M.; Bostan,A.[No abstract available]Conference Object Citation - Scopus: 8Parking space occupancy detection using deep learning methods;(Institute of Electrical and Electronics Engineers Inc., 2018) Akinci,F.C.; Karakaya,M.This paper presents an approach for gathering information about the availabilty of the parking lots using Convoltional Neural Network (CNN) for image processing running on an embedded system. By using an eflicent neural network model, we made it possible to use a very low cost embedded system compared to the ones used in previous works on this topic. This efficient model's performance is compared to one of the models that proved its accuracy in image classification competitions. In these tests, we used datasets that has thousands of different images taken from parking lots in different light and weather conditions. © 2018 IEEE.Conference Object Citation - Scopus: 2Detecting Errors in Automatic Image Captioning by Deep Learning;(Institute of Electrical and Electronics Engineers Inc., 2021) Karakaya,M.Automatic tagging of images is an important researcli topic in tlie field of image processing. Anotlier area similar to this is the automatic generation of picture captions. In this study, a deep learning model that automatically tags the pictures is used to detect errors in image captions. As a result of the initial experiments, it is observed that the proposed system can find up to 80% of the errors in the image captions. © 2021 IEEEConference Object Yazilim Mühendisliʇi Eʇitiminde Bitirme Projesi Dersinin Öʇrenci Bakiş Açisiyla Deʇerlendirilmesi(CEUR-WS, 2013) Karakaya,M.; Bostan,A.[No abstract available]Conference Object Yazilim Mühendisliǧi Alaninda Yayimlanan Tez ve Makalelerin Swebok'a Göre Degerlendirilmesi ve Yazilim Mühendisliǧi Eǧitiminin Iyilestirilmesi için Öneriler(CEUR-WS, 2016) Karakaya,M.; Karakaya, Kasım Murat; Yazici,A.; Yazıcı, Ali; Karakaya, Kasım Murat; Yazıcı, Ali; Computer Engineering; Software Engineering; Computer Engineering; Software Engineering[No abstract available]Conference Object A Case Study on Measuring Course Learning Outcomes in Software Engineering Education;(CEUR-WS, 2017) Karakaya,M.; Turhan,C.; Yazici,A.One of the most critical outcomes in the MÜDEK accreditation system which plays an important role in the evaluation and assessment of the quality of education in higher education institutions is evaluating how much students have achieved the course outcomes. This study aims to compare two methods utilized to measure course outcomes in the Software Engineering department of Atilim University. In the most general sense, these two methods are based on indirect and direct measurement techniques. The results of the analysis show a high degree of differentiation between the direct measurement and indirect measurement results. In light of the results obtained, some recommendations have been offered for course outcome assessment methods to be developed in the scope of MÜDEK accreditation.
