Repository logo
English
Türkçe
Log In(current)
  1. Home
  2. Azerbaijan State Oil and Industry University
  3. ASOIU
  4. Azerbaijan Journal of High Performance Computing
  5. A Comparative Study of Machine Learning Models for Battery State-of-Health Prediction: XGBoost, Random Forest and Deep Learning

A Comparative Study of Machine Learning Models for Battery State-of-Health Prediction: XGBoost, Random Forest and Deep Learning

ISSN
2616-6127
Date Issued
2026-07-12
Author(s)
Turker Tuncer
Department of Digital Forensics Engineering, College of Technology, Firat University, Türkiye, Elazig
Sengul Dogan
Department of Digital Forensics Engineering, College of Technology, Firat University, Türkiye, Elazig
Rashid Aliyev
Azerbaijan State Oil and Industry University, Azerbaijan, Baku
DOI
doi.org/10.32010/26166127.2026.04
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your Institution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify