| 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 | 141 | 2020 |
| Damage detection of steel girder railway bridges utilizing operational vibration response MR Azim, M Gül Structural Control and Health Monitoring 26 (11), e2447, 2019 | 49 | 2019 |
| Damage detection of steel-truss railway bridges using operational vibration data MR Azim, M Gül Journal of Structural Engineering 146 (3), 04020008, 2020 | 39 | 2020 |
| Data-driven damage identification technique for steel truss railroad bridges utilizing principal component analysis of strain response MR Azim, M Gül Structure and Infrastructure Engineering 17 (8), 1019-1035, 2021 | 35 | 2021 |
| Seismic performance of embedded steel beam connection in cross-laminated timber panels for tall-wood hybrid system X Zhang, MR Azim, P Bhat, M Popovski, T Tannert Canadian Journal of Civil Engineering 44 (8), 611-618, 2017 | 29 | 2017 |
| Damage detection framework for truss railway bridges utilizing statistical analysis of operational strain response MR Azim, M Gül Structural Control and Health Monitoring 27 (8), e2573, 2020 | 20 | 2020 |
| Experimental and numerical investigation of novel steel-timber-hybrid system TT Pooja Bhat, Md Riasat Azim, Marjan Popovski 13th World Conference on Timber Engineering (WCTE), Quebec City, Canada, 2014 | 16 | 2014 |
| Damage detection of railway bridges using operational vibration data: theory and experimental verifications MR Azim, H Zhang, M Gül Structural Monitoring and Maintenance 7 (2), 149-166, 2020 | 15 | 2020 |
| An analytical investigation on bolt tension of a flanged steel pipe joint subjected to bending moments MR Azim International Journal of Engineering and Applied Sciences 2 (3), 2305-8269, 2013 | 12 | 2013 |
| Development of a novel damage detection framework for truss railway bridges using operational acceleration and strain response MR Azim, M Gül Vibration 4 (2), 422-443, 2021 | 11 | 2021 |
| Numerical and experimental investigations of connection for timber-steel hybrid system MR Azim MASc Thesis, University of British Columbia, 2014 | 7 | 2014 |
| An Advanced Computational Investigation on Bolt Tension of a Flanged Pipe Joint Subjected to Bending MR Azim BSc. Engineering Thesis, Department of Civil Engineering, BUET, Dhaka, 2010 | 5 | 2010 |
| Automated classification of fuel types using roadside images via deep learning MR Azim, M Keskin, N Do, M Gül International Journal of Wildland Fire 31 (10), 982-987, 2022 | 3 | 2022 |
| A data-driven damage assessment tool for truss-type railroad bridges using train induced strain time-history response MR Azim Australian Journal of Structural Engineering 22 (2), 147-162, 2021 | 3 | 2021 |
| Development of a damage detection framework for railway bridges using operational response MR Azim Ph.D. Thesis, University of Alberta, 2020 | | 2020 |
| Damage detection and localization technique for railway bridges using sensor clustering based time series analysis of acceleration response MR Azim, M Gül 10th International Conference on Short and Medium Span Bridges (SMSB …, 2018 | | 2018 |
| Sensor Clustering Based Damage Detection Framework for Railway Bridges Using Acceleration Response MR Azim, M Gül CSCE Annual General Conference, Vancouver, British Columbia, Canada, 2017 | | 2017 |
Mustafa GülUniversity of AlbertaVerified email at ualberta.ca
