Author

A. Marasli

2 papers indexed here

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Preprint Aug 2026

An Uncertainty-Driven Hybrid Deep Learning Approach for Broad-Coverage RF Modulation Recognition

An uncertainty-driven hybrid deep learning architecture for recognizing RF signals over a broad modulation space by combining spectral information obtained through low-cost FFT-based preprocessing with time-frequency features extracted from short-time Fourier transform (STFT) spectrograms is proposed.

Nurettin Şafak, Durdu Can Yerdeyatar, Muhammet Sefa Demirel et al. · 1 citation

#machine learning Preprint Sep 2026

Sub-6 GHz Over-the-Air AMC via Curriculum Fine-Tuned CNN-Transformers

A curriculum fine-tuning study of a hybrid CNN-Transformer AMC model, with matched-distance test accuracy and confusion-matrix analysis grounded in RF theory, and reports honestly where the sequential fine-tuning order confounds cumulative link adaptation with antenna alignment, rather than overstating what the data ca...

Nurettin Şafak, Muhammet Sefa Demirel, A. Marasli et al. · 0 citations