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Author

M. Fenerci

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Open access Aug 2026

Edge-Deployed Anomaly Indicators for UAV Telemetry with Context-Aware Advisory Decision Support

This paper presents a companion-computer chain that converts Pixhawk-class MAVLink telemetry into operator advice on an NVIDIA Jetson Nano, and labelled evaluation uses synthetic injection, not concurrent live-load flight scoring.

M. Fenerci, Seda Arık Hatipoğlu, M. Konar · 0 citations
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

Battery state estimation is the main safety constraint for electric rotary-wing unmanned aerial vehicles (UAVs): mission decisions depend on both the instantaneous State of Charge (SOC) and the Remaining Useful Life (RUL). The present study compares seven machine learning and deep learning models (LR, SVM, k-NN, GBT, E...

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

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