JCEEES

JCEEES aims to publish original articles covering the theoretical foundations of major computer, electronic and electrical engineering sciences, as well as academic, commercial and educational aspects that propose new ideas for the application and design of artificial intelligence, software and information systems. In addition to wide-ranging regular topics, JCEEES also makes it a principle to include special topics covering specific topics in all areas of interest mainly in computational medicine, artificial intelligence, computer science, and electrical & electronic engineering science.

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Original Article - Computer Engineering

Explainable AI-driven IoT botnet detection for 6G networks

: 7 : 6

Citation : Güllü, M., Atagün, E., Biroğul, S., & Barışçı, N. (2026). Explainable AI-driven IoT botnet detection for 6G networks. J Comp Electr Electron Eng Sci, 4(2), 46-55. https://doi.org/10.51271/JCEEES-0036

Original Article - Computer Engineering

: 5 : 4

Citation : Karadağ, Ö. C., & Altuntaş, N. (2026). An integrated deep learning approach for 3D urban scene generation using monocular satellite imagery. J Comp Electr Electron Eng Sci, 4(2), 56-63. https://doi.org/10.51271/JCEEES-0037

Original Article - Computer Engineering

: 0 : 6

Citation : Kalaycı, N., & Erbaş, M. D. (2026). An imitation-enhanced actor-critic approach for maze navigation. J Comp Electr Electron Eng Sci, 4(2), 64-71. https://doi.org/10.51271/JCEEES-0038

Original Article - Computer Engineering

: 5 : 4

Citation : Doghmash, S. T., Doğru, İ. A., & Kılıç, K. (2026). Android application for multilingual hate speech detection: using XLM-RoBERTa and ONNX optimized. J Comp Electr Electron Eng Sci, 4(2), 72-76. https://doi.org/10.51271/JCEEES-0039

Original Article - Computer Engineering

: 8 : 5

Citation : Mustafa, M. A., Erdem, O. A., & Söğüt, E. (2026). Explainable brain tumor classification using an attention-augmented CNN and Grad-CAM. J Comp Electr Electron Eng Sci, 4(2), 77-82. https://doi.org/10.51271/JCEEES-0040

: 4 : 7

Citation : Şenyurt, İ., & Toklu, S. (2026). Binary text classification using machine learning and transformer models for small and imbalanced datasets. J Comp Electr Electron Eng Sci, 4(2), 83-91. https://doi.org/10.51271/JCEEES-0041
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