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.
Published: 03 Oct 2025
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.
Published: 03 Oct 2025
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.
Published: 03 Oct 2025
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.
Published: 03 Oct 2025
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.
Published: 03 Oct 2025
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.
Published: 31 Oct 2023
Citation: Lüy M, Metin NA. Classification of heart disease dataset with k-NN optimized by pso and gwo algorithms. J Comp Electr Electron Eng Sci. 2023;1(2):41-45.
Published: 28 Apr 2023
Citation: Ersoy Cangir Ö, Yıldırım M, Bostan N. Faculty network system implementation using Cisco packet tracer. J Comp Electr Electron Eng Sci. 2023; 1(1): 20-24.
Published: 17 Apr 2025
Citation: Ali, A.N., & Etem, T. (2025). Hourly energy consumption forecasting by LSTM and ARIMA methods. J Comp Electr Electron Eng Sci, 3(1),14-20.