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Canan Taştimur

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Open access Jul 2026

A new approach for lung cancer diagnosis: parallel feature learning

A parallel feature learning architecture developed for lung CT images was designed, which focuses on learning different features from each parallel path by using deformable and dilated convolution layers together and offers a reliable solution for lung cancer diagnosis.

Canan Taştimur · 0 citations
Open access Jul 2026

Noise-Robust Multi-Domain Feature Integration for Bearing Fault Diagnosis

A hybrid deep learning architecture is proposed for robust vibration-based fault diagnosis in industrial machinery by jointly modeling time-domain, frequency-domain, and temporal dynamics, enabling coherent cross-domain interaction and robust fault characterization.

Canan Taştimur · 0 citations

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