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Publications

Publications

 

SCI / SCI-E / SSCI Journal Articles

  1. Oztuner, A., & Kilicarslan, M. (2026). Beyond bounding boxes: Segmentation supervision for robust object detection in fisheye images. Journal of Visual Communication and Image Representation, 104798.
  2. Kesli, A., & Kilicarslan, M. (2026). An End-to-End Deep Learning Model for Vehicle Speed Estimation Using a Single Camera. Internet of Things, 101903.
  3. Kaplan Berkaya, S., Batmaz, Z., Kilicarslan, M., & Gunal, S. (2025). An integrated framework for automated measurement and prediction of program outcome attainment in engineering education. Computer Applications in Engineering Education, 33(6), e70094.
  4. Demir, E., Gunal, S. (2025) Short-term electricity consumption forecasting with deep learning. Journal of Supercomputing, 81(10), 1108.
  5. Gunduz, H., & Gunal, S. (2024). A lightweight convolutional neural network (CNN) model for diatom classification: DiatomNet. PeerJ Computer Science, 10, e1970.
  6. Sidi, M. L., & Gunal, S. (2023). A purely entity-based semantic search approach for document retrieval. Applied Sciences, 13(18), 10285.
  7. Pak, M. Y., & Gunal, S. (2022). A model for cross-domain opinion target extraction in sentiment analysis. Computer Systems Science and Engineering, 42(3), 1215-1239.
  8. Gunduz, H., Solak, C. N., & Gunal, S. (2022). Segmentation of diatoms using edge detection and deep learning. Turkish Journal of Electrical Engineering and Computer Sciences, 30(6), 2268-2285.
  9. Kilicarslan, M., & Temel, T. (2022). Motion-aware vehicle detection in driving videos. Turkish Journal of Electrical Engineering and Computer Sciences, 30(1), 63-78.
  10. Kilicarslan, M., & Zheng, J. Y. (2022). DeepStep: Direct detection of walking pedestrian from motion by a vehicle camera. IEEE Transactions on Intelligent Vehicles, 8(2), 1652-1663.
  11. Berkaya, S. K., Gunal, E. S., & Gunal, S. (2021). Deep learning-based classification models for beehive monitoring. Ecological Informatics, 101353.
  12. Berkaya, S. K., Sivrikoz, I. A., & Gunal, S. (2020). Classification models for SPECT myocardial perfusion imaging. Computers in Biology and Medicine, 123, 103893.

 

Other Journal Articles

  1. Karadurak, B., & Kılıçarslan, M. (2026). A Comparative Robustness Analysis of YOLOV8 and RT-DETR in Autonomous Driving. Black Sea Journal of Engineering and Science, 9(3), 1207-1217. https://doi.org/10.34248/bsengineering.1872135
  2. Eze, Ş. E., & Berkaya, S. K. (2024). Görüntü ön işleme teknikleri ve derin öğrenme ile bitki zararlılarının sınıflandırılması. Mühendislik Bilimleri ve Tasarım Dergisi, 12(2), 455-465.
  3. Temel, T., Kılıçarslan, M., & Hoşcan, Y. (2024). SDA: a novel skewed-deep-architecture for vehicle motion detection in driving videos. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 27(1), 92-104.

 

Conference Proceedings

  1. Ozdogan, A.H. & Kaplan Berkaya, S. (2026, May). Hierarchical Framework for Tooth Enumeration, Segmentation and Disease Identification in Panoramic Radiographs. In 8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA2026)  (pp. 1-6). IEEE. doi: 10.1109/ICHORA69329.2026.11537139.
  2. Şener, P., Erten, G., Göze, A. G., Hamurcu, M. C., Akman, Ç. & Kılıçarslan, M. (2026, May). A Real-Time Multi-Sensor Fusion Framework for UAV Threat Assessment. In 8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA2026) (pp. 1-6). IEEE. doi: 10.1109/ICHORA69329.2026.11537231.
  3. Akkaya, T., Şen, S. H., & Kılıçarslan, M. (2025, September). Comparative Analysis of Yolov8 and Florence-2 for Multimodal Drone Detection Using Infrared and Visible Image Fusion. In 2025 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE. doi: 10.1109/ASYU67174.2025.11208289.
  4. Dedekayaoğulları, S., Akman, N. Y., & Kılıçarslan, M. (2025). A Hybrid Disaster Management System Using Large Language Models and Drone-Based Visual Verification. Alanya Alaaddin Keykubat University, Alanya, Türkiye.
  5. Lawal, Z.D., Dedeoglu, K., Aygur, M.E., & Kaplan Berkaya, S. (2025, September). OSTEODEEP: AI-Driven Bone Health Assessment with Chatbot Integration Using X-Rays. In 2025 Innovations in Intelligent Systems and Applications (ASYU),  (pp. 1-7). IEEE. doi: 10.1109/ASYU67174.2025.11208293.
  6. Ozdogan, A.H., Kahraman, K., Chalil, M. C., & Kaplan Berkaya, S. (2025, May). Hybrid Deep Learning for Acute Lymphoblastic Leukemia Diagnosis. In the 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA2025).
  7. Aldemir, A., Kocaturk, H., Gorgec, S.L., & Kaplan Berkaya, S. (2025, May). Deep Learning Framework for Renal Pathology Classification and Segmentation. In the 4th International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES2025).
  8. Ucar, F., Engin, O.E., Ulgac, D., & Kaplan Berkaya, S. (2025, October). SPINE: Scoliosis Segmentation, Prediction, and Intelligent Evaluation, In 2025 International Conference on Next-Generation Engineering Technologies (ISNET).