- ORCID iD
-
0000-0002-7789-9849
Show
Sort by
-
- Conference Paper
- C1
- open access
Defect-aware super-resolution thermography by adversarial learning
-
- Journal Article
- A1
- open access
A flexible deep learning framework for thermographic inspection of composites
-
- Journal Article
- A1
- open access
An efficient parametrized optical infrared thermography 3D finite element framework for computer vision applications
-
Modified equation of shear strength with respect to saturation
-
Vibration-based quality assessment of metallic turbine blades considering measurement uncertainty
-
Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty
-
- Journal Article
- A1
- open access
Dual-IRT-GAN : a defect-aware deep adversarial network to perform super-resolution tasks in infrared thermographic inspection
-
- Conference Paper
- C3
- open access
IRT-GAN : a GAN framework for automated defect segmentation in composites using infrared thermography
-
- Journal Article
- A1
- open access
IRT-GAN : a generative adversarial network with a multi-headed fusion strategy for automated defect detection in composites using infrared thermography
-
- Journal Article
- A1
- open access
CNN-DST : ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition