Error metrics and performance fitness indicators for artificial intelligence and machine learning in engineering and sciences
Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …
[HTML][HTML] Close-range sensing and data fusion for built heritage inspection and monitoring—a review
E Adamopoulos, F Rinaudo - Remote Sensing, 2021 - mdpi.com
Built cultural heritage is under constant threat due to environmental pressures,
anthropogenic damages, and interventions. Understanding the preservation state of …
anthropogenic damages, and interventions. Understanding the preservation state of …
Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning
This paper proposes an automatic crack detection, localization, and quantification method
using the integration of a faster region proposal convolutional neural network (Faster R …
using the integration of a faster region proposal convolutional neural network (Faster R …
Mechanistically informed machine learning and artificial intelligence in fire engineering and sciences
MZ Naser - Fire Technology, 2021 - Springer
Fire is a chaotic and extreme phenomenon. While the past few years have witnessed the
success of integrating machine intelligence (MI) to tackle equally complex problems in …
success of integrating machine intelligence (MI) to tackle equally complex problems in …
Assessment of cracks on concrete bridges using image processing supported by laser scanning survey
The accurate assessment of the state of conservation of concrete bridges is extremely
important to define maintenance strategies and to optimize interventions. In this regard …
important to define maintenance strategies and to optimize interventions. In this regard …
Machine vision-based model for spalling detection and quantification in subway networks
Spalling is a significant surface defect that can compromise the integrity and durability of
concrete structures. The detection and evaluation of spalling are predominantly conducted …
concrete structures. The detection and evaluation of spalling are predominantly conducted …
Insights into performance fitness and error metrics for machine learning
MZ Naser, A Alavi - arXiv preprint arXiv:2006.00887, 2020 - arxiv.org
Machine learning (ML) is the field of training machines to achieve high level of cognition and
perform human-like analysis. Since ML is a data-driven approach, it seemingly fits into our …
perform human-like analysis. Since ML is a data-driven approach, it seemingly fits into our …
[HTML][HTML] A review of emerging technologies for an assessment of safety and seismic vulnerability and damage detection of existing masonry structures
M Stepinac, M Gašparović - Applied Sciences, 2020 - mdpi.com
The construction sector has proven to be one of the slowest sectors to embrace technology—
a problem that must be addressed. This problem can be quickly and efficiently addressed in …
a problem that must be addressed. This problem can be quickly and efficiently addressed in …
Automatic detection of concrete spalling using piecewise linear stochastic gradient descent logistic regression and image texture analysis
Recognition of spalling on surface of concrete wall is crucial in building condition survey.
Early detection of this form of defect can help to develop cost‐effective rehabilitation …
Early detection of this form of defect can help to develop cost‐effective rehabilitation …
Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree
This paper presents a novel artificial intelligence model to automatically recognize concrete
spall appearing on building components. The model is constructed by integrating a …
spall appearing on building components. The model is constructed by integrating a …