JCEEES
Journal of Computer & Electrical and Electronics Engineering Sciences

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.

eISSN: 2980-177X
Creative Commons CC BY-NC-ND 4.0 International License.

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Articles

Original Article - Computer Engineering

An OWL-based ontology for modeling vocational school structures in educational systems

https://doi.org/10.51271/JCEEES-0026

: 311 : 553

Citation : Çelebi, S. B., & Emiroğlu, B. G. (2025). An OWL-based ontology for modeling vocational school structures in educational systems. J Comp Electr Electron Eng Sci, 3(2), 35-40.

https://doi.org/10.51271/JCEEES-0027

: 110 : 637

Citation : Ünver, M. (2025). Comparison of machine learning classification models for predicting student academic performance. J Comp Electr Electron Eng Sci, 3(2), 41-46.

Original Article - Electronic Engineering

Genetic algorithm-based optimization of PID controller parameters for DC motor speed control

https://doi.org/10.51271/JCEEES-0028

: 876 : 943

Citation : Civelek, Z., & Teke, M. (2025). Genetic algorithm-based optimization of PID controller parameters for DC motor speed control. J Comp Electr Electron Eng Sci, 3(2), 47-53.

Original Article - Computer Engineering

Performance comparison of compression algorithms for log data in compliance with Turkish Law No. 5651

https://doi.org/10.51271/JCEEES-0029

: 478 : 1127

Citation : Karahan, M., Erdal E., & Ergüzen, A. (2025). Performance comparison of compression algorithms for log data in compliance with Turkish Law No. 5651. J Comp Electr Electron Eng Sci, 3(2), 54-60.

Original Article - Computer Engineering

Personalized adaptive e-learning application based on learning styles

https://doi.org/10.51271/JCEEES-0030

: 189 : 521

Citation : Karay, A., Erdal, E., & Ergüzen A. (2025). Personalized adaptive e-learning application based on learning styles. J Comp Electr Electron Eng Sci, 3(2), 61-67.

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