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Kenan Gençol

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Open access Aug 2026

Optimized Transfer Learning Models for Rail Surface Defect Classification with Explainable AI Validation

Rail surface defects such as flaking, spalling, and squat are critical indicators of railway track degradation and require reliable and efficient automated inspection systems to ensure operational safety. This study presents a comparative evaluation of seven state-of-the-art pre-trained Convolutional Neural Network (CN...

M. A. Gungor, Kenan Gençol · 0 citations
Open access Jul 2026

Hybrid Measurement and Deep Learning Framework for Harmonic Estimation in Induction Motors

Induction motors (IMs) are widely used in industrial applications due to their robustness, low cost, and simple construction. However, the increasing integration of power electronic devices such as inverters, soft starters, and variable frequency drives (VFDs) has made modern energy systems more complex, introducing si...

Onur Gafar, Kenan Gençol · 0 citations

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