Uluslararası Hekemli Dergilerde Yayınlanan Makaleler (2023-2024)

Objective Parameters in Attention Deficit Hyperactivity Disorder: Eye and Head Movements., DEMİRDÖĞEN YILDIRIM ESEN, AKINCI AKİF MEHMET, BOZKURT ABDULLAH, TURAN BAHADIR, ESİN SELÇUK İBRAHİM, DONBALOĞLU ALİ MEHMET, BİNGÖL İSA, ÖZYER TÜMÜKLÜ GÜLŞAH, KILIÇ UĞUR, DURSUN BURAK ONUR., Yayın Yeri:Journal of Attention Disorders, 2024
A new methodology for automatic creation of concept maps of Turkish texts. BAYRAK MERVE, DAL DENİZ, Yayın Yeri:Springer Science and Business Media LLC ,2024
Baygin, N. (2025). Melatonin Pattern: A New Method for Machine Learning-Based Classification of Sleep Deprivation. Diagnostics, 15(3), 379.
Karabey Aksalli, I., Baygin, N., Hagiwara, Y., Paul, J. K., Iype, T., Barua, P. D., ... & Acharya, U. R. (2024). Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique. Cognitive neurodynamics, 18(2), 383-404.
Baygin, N., Aydemir, E., Barua, P. D., Baygin, M., Dogan, S., Tuncer, T., ... & Acharya, U. R. (2023). Automated mental arithmetic performance detection using quantum pattern-and triangle pooling techniques with EEG signals. Expert Systems with Applications, 227, 120306.
Kirik, S., Dogan, S., Baygin, M., Barua, P. D., Demir, C. F., Keles, T., ... & Acharya, U. R. (2023). FGPat18: Feynman graph pattern-based language detection model using EEG signals. Biomedical Signal Processing and Control, 85, 104927.
Muezzinoglu, T., Baygin, N., Tuncer, I., Barua, P. D., Baygin, M., Dogan, S., ... & Acharya, U. R. (2023). PatchResNet: multiple patch division–based deep feature fusion framework for brain tumor classification using MRI images. Journal of digital imaging, 36(3), 973-987.
Ozkaya, S. G., Baygin, N., Barua, P. D., Singh, A. R., Bajaj, M., Baygin, M., ... & Acharya, U. R. (2023). Most complicated lock pattern-based seismological signal framework for automated earthquake detection. International Journal of Applied Earth Observation and Geoinformation, 118, 103297.
Zaman, N., Aksakallı, I. K., & Bayğın, N. Digital Certificate Security: A Blockchain-based Approach for Fraud Prevention and Verification. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 12(4), 1128-1138.
Keskin, F. B., Bayğın, N., Aksakallı, I. K., & Sökmen, Ö. Ç. (2024). Görme bozukluğu olan bireyler için derin öğrenme tabanlı ürün sınıflandırma sistemi. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 13(4), 1150-1160.
Karabey Aksakalli, I., & Bayındır, L. (2025). Enhancing Indoor Localization with Room-to-Room Transition Time: A Multi-Dataset Study. Applied Sciences, 15(4), 1985.
Demir, K., Sokmen, O., Karabey Aksakalli, I., & Torenek-Agirman, K. (2024). Comprehensive Insights into Artificial Intelligence for Dental Lesion Detection: A Systematic Review. Diagnostics, 14(23), 2768.
Sancar, Y., Yavuz, U., & Karabey Aksakalli, I. (2024). Personal mark density-based high-performance Optical Mark Recognition (OMR) system using K-means clustering algorithm. Multimedia Tools and Applications, 1-33.
Aksakalli, T., Aksakalli, I. K., Cinislioglu, A. E., Utlu, A., Demirdogen, S. O., Celik, F., & Karabulut, I. (2024). Prediction of spontaneous distal ureteral stone passage using artificial intelligence. International Urology and Nephrology, 56(7), 2179-2186.
Sancar, Y., Karabey Aksakallı, I., & Karacalı, T. (2023). Text classification-based petition recognition and routing system: a turkish case study. International Journal of Information Technology, 15(4), 2139-2146.
Sökmen, Ö., Aksakallı, I. K., & Yılmaz, M. (2024). Türkiye Katılım Bankalarının Veri Zarflama Analizi ile Etkinlik Analizi. Turkish Studies-Economics, Finance, Politics, 19(4).