Author

İsmail Erol

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Open access Jul 2026

A Comparative Study of Machine Learning and Deep Learning Models for State of Charge and Remaining Useful Life Estimation on a Rotary-Wing UAV Battery

This study compares seven machine learning and deep learning models (LR, SVM, k-NN, GBT, EL, LSTM, and a simplified RWKV) on real flight data from a rotary-wing helicopter testbed with a Pixhawk autopilot and an NVIDIA Jetson Nano mission computer.

Mehmet Konar, Seda Arık Hatipoğlu, İsmail Erol et al. · Drones · 0 citations