Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection–A review

D Feng, MQ Feng - Engineering Structures, 2018 - Elsevier
To address the limitations of current sensor systems for field applications, the research
community has been actively exploring new technologies that can advance the state-of-the …

The sensitivity method in finite element model updating: A tutorial

JE Mottershead, M Link, MI Friswell - Mechanical systems and signal …, 2011 - Elsevier
The sensitivity method is probably the most successful of the many approaches to the
problem of updating finite element models of engineering structures based on vibration test …

Experimental validation of cost-effective vision-based structural health monitoring

D Feng, MQ Feng - Mechanical Systems and Signal Processing, 2017 - Elsevier
Monitoring structural displacement responses can provide quantitative information for both
structural safety evaluations and maintenance purposes. To overcome the limitations of …

Cable tension force estimate using novel noncontact vision-based sensor

D Feng, T Scarangello, MQ Feng, Q Ye - Measurement, 2017 - Elsevier
Cable is the most important component in cable-supported bridges and roof structures.
Existing vibration methods for cable tension estimates are mainly based on measured …

Structural dynamic model updating techniques: A state of the art review

S Sehgal, H Kumar - Archives of Computational Methods in Engineering, 2016 - Springer
This paper presents a review of structural dynamic model updating techniques. Starting with
a tutorial introduction of basic concepts of model updating, the paper reviews direct and …

Classification of benign and malignant masses based on Zernike moments

A Tahmasbi, F Saki, SB Shokouhi - Computers in biology and medicine, 2011 - Elsevier
In mammography diagnosis systems, high False Negative Rate (FNR) has always been a
significant problem since a false negative answer may lead to a patient's death. This paper …

Conventional machine learning versus deep learning for magnification dependent histopathological breast cancer image classification: A comparative study with …

S Boumaraf, X Liu, Y Wan, Z Zheng, C Ferkous, X Ma… - Diagnostics, 2021 - mdpi.com
Breast cancer is a serious threat to women. Many machine learning-based computer-aided
diagnosis (CAD) methods have been proposed for the early diagnosis of breast cancer …

[HTML][HTML] Machine learning classifiers for surface crack detection in fracture experiments

A Müller, N Karathanasopoulos, CC Roth… - International Journal of …, 2021 - Elsevier
Correctly determining the onset of fracture is crucial when performing mechanical
experiments. Commonly carried out by visual inspection, here an image-based machine …

Non-model based expansion from limited points to an augmented set of points using Chebyshev polynomials

Y Chen, P Logan, P Avitabile, J Dodson - Experimental Techniques, 2019 - Springer
Expansion of measured dynamic response at a limited set of points is of great interest in the
study of structural dynamic systems. Measurements at limited points on a structure can be …

Automatic target recognition of synthetic aperture radar (SAR) images based on optimal selection of Zernike moments features

M Amoon, G Rezai‐rad - IET Computer Vision, 2014 - Wiley Online Library
In the present study, a new algorithm for automatic target detection (ATR) in synthetic
aperture radar (SAR) images has been proposed. First, moving and stationary target …