Author

I. Kubilay

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Open access Jul 2026

State of Charge Estimation for Both Electric Bus and Passenger Vehicles with Different Battery Types Using Multi-Instance Learning

MIL-LGBM is introduced, a specialized method that integrates Multiple Instance Learning with Light Gradient Boosting Machine to effectively capture the complex nonlinear behavior of battery SoC while maintaining a low computational footprint.

I. Kubilay, Derya Birant · Batteries · 0 citations

Open access Jul 2026

M5Boost: A Machine Learning Approach for Driving Range Estimation in Electric Vehicles Considering Battery-Related Factors

An M5Boost framework is proposed that successfully integrates an additive residual learning methodology with the model tree structure and significantly outperformed state-of-the-art models reported in the literature on the same dataset.

I. Kubilay, Kadriye Filiz Balbal, K. Birant et al. · Batteries · 0 citations