2022 Yılı İlk 6 Ay Yayın Başarıları

2022 yılı bilgisayar mühendisliği öğretim üyelerinin ilk 6 ay içerisinde WOS tarafından taranan dergilerde yaptıkları yayınlara ait bilgiler aşağıdadır. Bölümümüz personeli ilk 6 ay içerisinde 12 adet SCI-E kapsamındaki dergilerde yayın yapmıştır. Yayın yapılar dergilerin, 7 adedi Q1, 2 adedi Q2, 1 adedi Q3 ve 2 adedi Q4 kategorisinde yer almaktadır.

Öğretim üyelerimizin başarılarının devamı dileriz.

Öğr. Gör. Dr. Ahmet Yılmaz

1 . Yilmaz, A., & Poli, R. (2022). Successfully and efficiently training deep multi-layer perceptrons with logistic activation function simply requires initializing the weights with an appropriate negative mean. Neural Networks, 153, 87–103. https://doi.org/https://doi.org/10.1016/j.neunet.2022.05.030

Dr. Öğr. Üyesi İbrahim Çınaroğlu

1. Cinaroglu, I., & Bastanlar, Y. (2022). Long-term image-based vehicle localization improved with learnt semantic descriptors. Engineering Science and Technology, an International Journal, 35, 101098. https://doi.org/https://doi.org/10.1016/j.jestch.2022.101098

Doç. Dr. Metin Toz

1. Özkan, S. B., & Toz, M. (2022). A review study on the investigation of the effects of using robots in education on metacognitive behaviors. Computer Applications in Engineering Education, n/a(n/a). https://doi.org/https://doi.org/10.1002/cae.22508

2. Öğülmüş Demircan, F., Yücedağ, İ., & Toz, M. (2021). A novel mathematical model including the wetness parameter as a variable for prevention of pressure ulcers. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 236(3), 427–437. https://doi.org/10.1177/09544119211048557

Dr. Öğr. Üyesi Uğur Erkan

1. Memiş, S., Enginoğlu, S., & Erkan, U. (2022). Fuzzy parameterized fuzzy soft k-nearest neighbor classifier. Neurocomputing, 500, 351–378. https://doi.org/https://doi.org/10.1016/j.neucom.2022.05.041

2. Erkan, U., Toktas, A., Toktas, F., & Alenezi, F. (2022). 2D eπ-map for image encryption. Information Sciences, 589, 770–789. https://doi.org/https://doi.org/10.1016/j.ins.2021.12.126

3. Ustun, D., Toktas, A., Erkan, U., & Akdagli, A. (2022). Modified artificial bee colony algorithm with differential evolution to enhance precision and convergence performance. Expert Systems with Applications, 198, 116930. https://doi.org/https://doi.org/10.1016/j.eswa.2022.116930

4. Toktas, A., & Erkan, U. (2022). 2D fully chaotic map for image encryption constructed through a quadruple-objective optimization via artificial bee colony algorithm. Neural Computing and Applications, 34(6), 4295–4319. https://doi.org/10.1007/s00521-021-06552-z

5. Erkan, Ugur, Toktas, A., & Ustun, D. (2022). Hyperparameter optimization of deep CNN classifier for plant species identification using artificial bee colony algorithm. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-021-03631-w

6. Memiş, Samet, Enginoğlu, S., & Erkan, U. (2022). A classification method in machine learning based on soft decision-making via fuzzy parameterized fuzzy soft matrices. Soft Computing, 26(3), 1165–1180. https://doi.org/10.1007/s00500-021-06553-z

7. Erkan, U., Toktas, A., Enginoğlu, S., Akbacak, E., & Thanh, D. N. H. (2022). An image encryption scheme based on chaotic logarithmic map and key generation using deep CNN. Multimedia Tools and Applications, 81(5), 7365–7391. https://doi.org/10.1007/s11042-021-11803-1

8. Memi̇ş, S., Engi̇noğlu, S., & Erkan, U. (2022). A new classification method using soft decision-making based on an aggregation operator of fuzzy parameterized fuzzy soft matrices. Turkish Journal of Electrical Engineering and Computer Sciences, 30(3), 871–890. https://doi.org/10.55730/1300-0632.3816