prof. dr. ir. Mathias Kersemans
- Work address
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Technologiepark Zwijnaarde 46
9052 Zwijnaarde - Mathias.Kersemans@UGent.be
- ORCID iD
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0000-0002-9325-0556
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Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty
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IRT-GAN: A generative adversarial network with a multi-headed fusion strategy for automated defect detection in composites using infrared thermography
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CNN-DST: Ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition
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3D intra-cellular wave dynamics in a phononic plate with ultra-wide bandgap : attenuation, resonance and mode conversion
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Probabilistic ultrasound C-scan imaging of barely visible impact damage in CFRP laminates
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Phase inversion in (vibro‐)thermal wave imaging of materials : extracting the AC component and filtering nonlinearity
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Defect detection and depth estimation in CFRP through phase of transient response of flash thermography
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Assessment of the 3D ply-by-ply fiber structure in impacted CFRP by means of planar Ultrasound Computed Tomography (pU-CT)
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An ensemble classifier for vibration-based quality monitoring
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Self-reference broadband local wavenumber estimation (SRB-LWE) for defect assessment in composites