Clemente Ibarra-Castanedo
Orcid: 0000-0002-0198-7439
According to our database1,
Clemente Ibarra-Castanedo
authored at least 29 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Advancements in and Research on Coplanar Capacitive Sensing Techniques for Non-Destructive Testing and Evaluation: A State-of-the-Art Review.
Sensors, August, 2024
Robust Multi-Modal Image Registration for Image Fusion Enhancement in Infrastructure Inspection.
Sensors, June, 2024
Towards Enhancing Automated Defect Recognition (ADR) in Digital X-ray Radiography Applications: Synthesizing Training Data through X-ray Intensity Distribution Modeling for Deep Learning Algorithms.
Inf., 2024
2023
Deep Learning Neural Network Performance on NDT Digital X-ray Radiography Images: Analyzing the Impact of Image Quality Parameters - An Experimental Study.
Sensors, 2023
Automatic Detection and Identification of Defects by Deep Learning Algorithms from Pulsed Thermography Data.
Sensors, 2023
2022
Automated Impact Damage Detection Technique for Composites Based on Thermographic Image Processing and Machine Learning Classification.
Sensors, 2022
Experimental Study and FEM Simulations for Detection of Rebars in Concrete Slabs by Coplanar Capacitive Sensing Technique.
Sensors, 2022
2021
Measuring Heterogeneous Thermal Patterns in Infrared-Based Diagnostic Systems Using Sparse Low-Rank Matrix Approximation: Comparative Study.
IEEE Trans. Instrum. Meas., 2021
Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection.
Sensors, 2021
Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application.
Sensors, 2021
Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms.
Sensors, 2021
Data Enhancement via Low-Rank Matrix Reconstruction in Pulsed Thermography for Carbon-Fibre-Reinforced Polymers.
Sensors, 2021
Sensors, 2021
Unsupervised Identification of Targeted Spectra Applying Rank1-NMF and FCC Algorithms in Long-Wave Hyperspectral Infrared Imagery.
Remote. Sens., 2021
Automatic Defects Segmentation and Identification by Deep Learning Algorithm with Pulsed Thermography: Synthetic and Experimental Data.
Big Data Cogn. Comput., 2021
2020
Enhanced Infrared Sparse Pattern Extraction and Usage for Impact Evaluation of Basalt-Carbon Hybrid Composites by Pulsed Thermography.
Sensors, 2020
Comparison of Cooled and Uncooled IR Sensors by Means of Signal-to-Noise Ratio for NDT Diagnostics of Aerospace Grade Composites.
Sensors, 2020
Low-rank Convex/Sparse Thermal Matrix Approximation for Infrared-based Diagnostic System.
CoRR, 2020
2018
Optical and Mechanical Excitation Thermography for Impact Response in Basalt-Carbon Hybrid Fiber-Reinforced Composite Laminates.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
Enhanced Infrared Image Processing for Impacted Carbon/Glass Fiber-Reinforced Composite Evaluation.
Sensors, 2018
Machine Learning and Infrared Thermography for Fiber Orientation Assessment on Randomly-Oriented Strands Parts.
Sensors, 2018
Comparative study on point and line thermographic inspection for fiber orientation assessment of randomly oriented strand material.
J. Braz. Comput. Soc., 2018
2017
Nondestructive Evaluation of Carbon Fiber Bicycle Frames Using Infrared Thermography.
Sensors, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Implementation of advanced signal processing techniques on Line-Scan Thermography data.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Artificial Neural Networks and Infrared Thermography for Fiber Orientation Assessment.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2006
Modified Differential Absolute Contrast using Thermal Quadrupoles for the Nondestructive Testing of Finite Thickness Specimens by Infrared Thermography.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006