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Selçuk Üniversitesi Alaeddin Keykubat Kampüsü
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2025 Yılı Web of Science Bölüm Başarısı

10 Şubat 2026 Elektrik-Elektronik Mühendisliği

2025 yılında, bölümümüz akademik personelinin katkı sunduğu ve Web of Science (WOS) tarafından SCI/SCI-E/CPCI kategorilerinde indekslenen  toplam 15 makale ve bildiri çalışması yayımlanmıştır. Bu değerli katkılarından dolayı akademik personelimize teşekkür eder, çalışmalarında başarılarının devamını dileriz.

  1. Ucar, K. (2025). Improving electric vehicle state of charge estimation with wavelet transform-integrated 1D-CNN pooling layers. Journal of Energy Storage, 117, 116202. https://doi.org/10.1016/j.est.2025.116202
  2. Çimen, H., Uçar, K., & Arabacı, H. (2025). Enhancing generalization performance of CNN-based state-of-charge estimation for lithium-ion batteries. Journal of Energy Storage, 136, 118597. https://doi.org/10.1016/j.est.2025.118597
  3. Arabaci, H., Ucar, K., & Cimen, H. (2025, August). The Effect of Different Open-Circuit Voltage Curves on the Accuracy of Model-Based State Estimation in Lithium-Ion Batteries. In 2025 10th International Youth Conference on Energy (IYCE) (pp. 1-7). IEEE.  https://doi.org/110.1109/IYCE66046.2025.11155025
  4. Özcan, S. E., & Arabaci, H. (2025, May). A Comparison Study on the Selection of the Optimum Electrical Equivalent Circuit Model for Lithium-Ion Batteries and Parameter Accuracy Analysis by the Least Squares Method. In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) (pp. 1-6). IEEE.   https://doi.org/10.1109/ICHORA65333.2025.11017111
  5. Arslan, M. and Çunkaş M (2025). "An Experimental Study on Determination of Optimal Tilt and Orientation Angles in Photovoltaic Systems." Journal of Engineering Research 13(3): 2689-2701. https://doi.org/10.1016/j.jer.2024.07.015
  6. Issa, H. A., Cunkas M. (2025). "A genetic programming-based ensemble method for long-term electricity demand forecasting." PeerJ Computer Science 11: e2825. http://dx.doi.org/10.7717/peerj-cs.2825
  7. Karabulut, C., Yucel, E. and Cunkas M. (2025). "PERFORMANCE AND COST ANALYSIS OF HALBACH ARRAYS IN ELECTRODYNAMIC LEVITATION FOR HIGH-SPEED TRANSPORT." Konya Journal of Engineering Sciences 13(3): 975-990. https://doi.org/10.36306/konjes.1684495
  8. Yucel, E., Cunkas M. (2025). "Analysis and design of a permanent magnet linear synchronous motor based on inductance calculation." Archives of Electrical Engineering. https://doi.org/10.24425/aee.2025.154996
  9. Yücel, E., Cunkas M. (2025). "Design, implementation, and testing of a propulsion system for the hyperloop transportation system." Electrical Engineering: 1-21. https://doi.org/10.1007/s00202-025-03107-6
  10. Ozer, O., & Arabaci, H. (2025). State Of Charge Estimation in Li-ion Batteries Using a Parallel LSTM-Based Approach: The Impact of Modelling Based on Operating States. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3591970
  11. Cataltas, O. (2025). A data-driven artificial neural network approach to predict make-up exam participation in higher education. PeerJ Computer Science, 11, e3394. https://doi.org/10.7717/peerj-cs.3394
  12. Ozer, A. S., & Karaca, H. (2025, August). Enhanced DSOGI-PLL Based Control Strategy for DSTATCOM. In 2025 10th International Youth Conference on Energy (IYCE) (pp. 1-6). IEEE. https://doi.org/10.1109/IYCE66046.2025.11155055
  13. Kaya, E. (2025, May). Feature Extraction with Scalogram-Based CNN Activations and Activity Recognition in Elderly Individuals with Transfer Learning. In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) (pp. 1-6). IEEE. https://doi.org/10.1109/ICHORA65333.2025.11017074
  14. I Demirci, I Saritas (2025, February). Damage analysis of Nomex honeycomb sandwich structures using image processing and artificial intelligence approaches, Polymer Composites, 46, 1121-1138, https://doi.org/10.1002/pc.27695
  15. Karabacak, Y., Yaşar, A., & Saritaş, İ. (2025). Comparative Application of Speed and Regenerative Braking Process of an Electric Vehicle Using Intelligent Control Methods. Arabian Journal for Science and Engineering, 1-24. https://doi.org/10.1007/s13369-025-10657-1

Sayılarla Selçuk

61.672 Öğrenci
493.289 Mezun
3.212 Akademik
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24 Fakülte
7 Enstitü
5 Yüksekokul
22 MYO
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