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Stephanie German Paal
Stephanie German Paal
Other namesStephanie German, Stephanie Paal, Stephanie G Paal
Associate Professor, Zachry Department of Civil Engineering, Texas A&M University
Verified email at civil.tamu.edu - Homepage
Title
Cited by
Cited by
Year
Deep learning for site safety: Real-time detection of personal protective equipment
ND Nath, AH Behzadan, SG Paal
Automation in construction 112, 103085, 2020
3862020
Visual retrieval of concrete crack properties for automated post-earthquake structural safety evaluation
Z Zhu, S German, I Brilakis
Automation in Construction 20 (7), 874-883, 2011
2432011
Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments
S German, I Brilakis, R DesRoches
Advanced Engineering Informatics 26 (4), 846-858, 2012
2322012
Achievements and challenges in machine vision-based inspection of large concrete structures
C Koch, SG Paal, A Rashidi, Z Zhu, M König, I Brilakis
Advances in Structural Engineering 17 (3), 303-318, 2014
1722014
Detection of large-scale concrete columns for automated bridge inspection
Z Zhu, S German, I Brilakis
Automation in construction 19 (8), 1047-1055, 2010
1272010
Machine learning–based backbone curve model of reinforced concrete columns subjected to cyclic loading reversals
H Luo, SG Paal
Journal of Computing in Civil Engineering 32 (5), 04018042, 2018
1092018
Automated damage index estimation of reinforced concrete columns for post-earthquake evaluations
SG Paal, JS Jeon, I Brilakis, R DesRoches
Journal of Structural Engineering 141 (9), 04014228, 2015
1012015
A locally weighted machine learning model for generalized prediction of drift capacity in seismic vulnerability assessments
H Luo, SG Paal
Computer‐Aided Civil and Infrastructure Engineering 34 (11), 935-950, 2019
842019
Machine vision-enhanced postearthquake inspection
S German, JS Jeon, Z Zhu, C Bearman, I Brilakis, R DesRoches, L Lowes
Journal of Computing in Civil Engineering 27 (6), 622-634, 2013
822013
Performance comparison of reduced models for leak detection in water distribution networks
G Moser, SG Paal, IFC Smith
Advanced Engineering Informatics 29 (3), 714-726, 2015
512015
Leak detection of water supply networks using error-domain model falsification
G Moser, SG Paal, IFC Smith
Journal of Computing in Civil Engineering 32 (2), 04017077, 2018
442018
Visual pattern recognition models for remote sensing of civil infrastructure
I Brilakis, S German, Z Zhu
Journal of Computing in Civil Engineering 25 (5), 388-393, 2011
392011
Reducing the effect of sample bias for small data sets with double‐weighted support vector transfer regression
H Luo, SG Paal
Computer‐Aided Civil and Infrastructure Engineering 36 (3), 248-263, 2021
372021
Data-driven seismic response prediction of structural components
H Luo, SG Paal
Earthquake Spectra 38 (2), 1382-1416, 2022
352022
Artificial intelligence-enhanced seismic response prediction of reinforced concrete frames
H Luo, SG Paal
Advanced Engineering Informatics 52, 101568, 2022
342022
Machine learning-based wind pressure prediction of low-rise non-isolated buildings
Y Weng, SG Paal
Engineering Structures 258, 114148, 2022
312022
Metaheuristic least squares support vector machine-based lateral strength modelling of reinforced concrete columns subjected to earthquake loads
H Luo, SG Paal
Structures 33, 748-758, 2021
292021
Performance assessment of building infrastructure impacted by the 2017 Hurricane Harvey in the Port Aransas region
M Aghababaei, M Koliou, SG Paal
Journal of Performance of Constructed Facilities 32 (5), 04018069, 2018
272018
Evaluation of transfer learning models for predicting the lateral strength of reinforced concrete columns
H Pak, SG Paal
Engineering Structures 266, 114579, 2022
222022
Surveying, geomatics, and 3D reconstruction
P Tang, S Vick, J Chen, SG Paal
Infrastructure computer vision, 13-64, 2020
212020
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