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.

Online Manuscript System

Index

Current Issue 2023/1/2

Original Article
Personalized daily-weekly workout arrangement application "cardio fit"

Published: 31 Oct 2023

https://doi.org/10.51271/JCEEES-0006

Citation: Ataman Z, Heybet ME, Sarısoy F, Yılmaz B, Günay M, Şenel Ö. Personalized daily-weekly workout arrangement application “cardio fit”. J Comp Electr Electron Eng Sci. 2023;1(2):25-28.

Original Article
Cryptocurrency analysis using machine learning and deep learning approaches

Published: 31 Oct 2023

https://doi.org/10.51271/JCEEES-0007

Citation: Muhammed Sakran F. Cryptocurrency analysis using machine learning and deep learning approaches. J Comp Electr Electron Eng Sci. 2023;1(2):29-33.

Original Article
Controlling the operation of the dc motor by using pid with metaheuristic technology

Published: 31 Oct 2023

https://doi.org/10.51271/JCEEES-0008

Citation: Khalaf KAK, Teke M. Controlling the operation of the dc motor by using pid with metaheuristic technology. J Comp Electr Electron Eng Sci. 2023;1(2):34-40.

Original Article
Classification of heart disease dataset with k-NN optimized by pso and gwo algorithms

Published: 31 Oct 2023

https://doi.org/10.51271/JCEEES-0009

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.

Original Article
Machine learning methods on quantized vectors

Published: 31 Oct 2023

https://doi.org/10.51271/JCEEES-0010

Citation: Tanyeri U, Dindar T, Kökver Y, Koçak NF. Machine learning methods on quantized vectors. J Comp Electr Electron Eng Sci. 2023;1(2):46-49.

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