Qipei (Gavin) Mei
Qipei (Gavin) Mei
Assistant Professor of Civil and Environmental Engineering, University of Alberta
Verified email at - Homepage
Cited by
Cited by
A cost effective solution for pavement crack inspection using cameras and deep neural networks
Q Mei, M Gül
Construction and Building Materials 256, 119397, 2020
Densely connected deep neural network considering connectivity of pixels for automatic crack detection
Q Mei, M Gül, MR Azim
Automation in Construction 110, 103018, 2020
Indirect health monitoring of bridges using Mel-frequency cepstral coefficients and principal component analysis
Q Mei, M Gül, M Boay
Mechanical Systems and Signal Processing 119, 523-546, 2019
A crowdsourcing-based methodology using smartphones for bridge health monitoring
Q Mei, M Gül
Structural Health Monitoring 18 (5-6), 1602-1619, 2019
Multi-level feature fusion in densely connected deep-learning architecture and depth-first search for crack segmentation on images collected with smartphones
Q Mei, M Gül
Structural Health Monitoring 19 (6), 1726-1744, 2020
Towards smart cities: crowdsensing-based monitoring of transportation infrastructure using in-traffic vehicles
Q Mei, M Gül, N Shirzad-Ghaleroudkhani
Journal of Civil Structural Health Monitoring 10 (4), 653-665, 2020
Bridge mode shape identification using moving vehicles at traffic speeds through non‐parametric sparse matrix completion
Q Mei, N Shirzad‐Ghaleroudkhani, M Gül, SF Ghahari, E Taciroglu
Structural Control and Health Monitoring 28 (7), e2747, 2021
Frequency identification of bridges using smartphones on vehicles with variable features
N Shirzad-Ghaleroudkhani, Q Mei, M Gül
Journal of Bridge Engineering 25 (7), 04020041, 2020
Novel sensor clustering–based approach for simultaneous detection of stiffness and mass changes using output-only data
Q Mei, M Gül
Journal of Structural Engineering 141 (10), 04014237, 2015
A fixed-order time series model for damage detection and localization
Q Mei, M Gül
Journal of Civil Structural Health Monitoring 6, 763-777, 2016
A Deep Learning and Computer Vision Based Multi-Player Tracker for Squash
MM Baclig, N Ergezinger, Q Mei, M Gül, S Adeeb, L Westover
Applied Sciences 10 (24), 8793, 2020
A crowdsensing-based platform for transportation infrastructure monitoring and management in smart cities
N Shirzad-Ghaleroudkhani, Q Mei, M Gül
The Rise of Smart Cities, 609-624, 2022
An improved methodology for anomaly detection based on time series modeling
Q Mei, M Gul
Topics in Dynamics of Civil Structures, Volume 4: Proceedings of the 31st …, 2013
Rapid and Automated Damage Detection in Buildings Through ARMAX Analysis of Wind Induced Vibrations
GP Gislason, Q Mei, M Gül
Frontiers in Built Environment 5, 16, 2019
A Deep Learning Model to Predict the Lateral Capacity of Monopiles
AH Taherkhani, Q Mei, F Han
Geo-Congress 2023, 220-227, 2023
A computer vision-based method to identify the international roughness index of highway pavements
J Zeng, M Gül, Q Mei
Journal of Infrastructure Intelligence and Resilience 1 (1), 100004, 2022
Detection of Suture Needle Using Deep Learning
Q Mei, J Chainey, D Asgar-Deen, D Aalto
Journal of Medical Robotics Research 4 (03n04), 1942005, 2019
Damage assessment of shear-type structures under varying mass effects
NT Do, Q Mei, M Gul
Structural Monitoring and Maintenance 6 (3), 237-254, 2019
Computer-vision based rapid entire body analysis (REBA) estimation
C Fan, Q Mei, Q Yang, X Li
Modular and Offsite Construction (MOC) Summit Proceedings, 90-97, 2022
A Mobile Sensing Framework for Bridge Modal Identification through an Inverse Problem Solution Procedure and Moving-Window Time Series Models
M Talebi-Kalaleh, Q Mei
Sensors 23 (11), 5154, 2023
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