Acoustic emission Bayesian source location: Onset time challenge R Madarshahian, P Ziehl, JM Caicedo Mechanical Systems and Signal Processing 123, 483-495, 2019 | 48 | 2019 |
Bayesian updating and identifiability assessment of nonlinear finite element models MK Ramancha, R Astroza, R Madarshahian, JP Conte Mechanical Systems and Signal Processing 167, 108517, 2022 | 35 | 2022 |
Hsu-Nielsen source acoustic emission data on a concrete block R Madarshahian, V Soltangharaei, R Anay, JM Caicedo, P Ziehl Data in brief 23, 103813, 2019 | 33 | 2019 |
Benchmark problem for human activity identification using floor vibrations R Madarshahian, JM Caicedo, DA Zambrana Expert Systems with Applications 62, 263-272, 2016 | 25 | 2016 |
Reducing MCMC computational cost with a two layered Bayesian approach R Madarshahian, JM Caicedo Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2015 | 14 | 2015 |
Integrating professional and technical engineering skills with the EFFECTs pedagogical framework CE Pierce, JM Caicedo, JRV Flora, ND Berge, R Madarshahian, ... International Journal of Engineering Education 30 (6), 1579-1589, 2014 | 10 | 2014 |
Evaluation of a time reversal method with dynamic time warping matching function for human fall detection using structural vibrations R Madarshahian, JM Caicedo, DA Zambrana Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2014 | 10 | 2014 |
Non-unique estimates in material parameter identification of nonlinear FE models governed by multiaxial material models using unscented kalman filtering MK Ramancha, R Madarshahian, R Astroza, JP Conte Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 9 | 2020 |
A neural network surrogate model for structural health monitoring of miter gates in navigation locks M Vega, R Madarshahian, MD Todd Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 9 | 2020 |
Human activity recognition using multinomial logistic regression R Madarshahian, JM Caicedo Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2015 | 9 | 2015 |
A probabilistic approach for estimating water permeability in pressure-driven membranes LK Boateng, R Madarshahian, Y Yoon, JM Caicedo, JRV Flora Journal of molecular modeling 22, 1-12, 2016 | 8 | 2016 |
A probabilistic estimation approach for the failure forecast method using Bayesian inference NM O’Dowd, R Madarshahian, MSH Leung, J Corcoran, MD Todd International Journal of Fatigue 142, 105943, 2021 | 7 | 2021 |
Bayesian damage identification using strain data from lock gates Y Yang, R Madarshahian, MD Todd Dynamics of Civil Structures, Volume 2: Proceedings of the 37th IMAC, A …, 2020 | 7 | 2020 |
Estimating seismic demand parameters using the endurance time method R Madarshahian, H Estekanchi, A Mahvashmohammadi Journal of Zhejiang University-SCIENCE A 12, 616-626, 2011 | 7 | 2011 |
Human activity benchmark classification using multilayer artificial neural network R Madarshahian, JM Caicedo, N Haerens Dynamics of Civil Structures, Volume 2: Proceedings of the 36th IMAC, A …, 2019 | 6 | 2019 |
Optimal maintenance decision for deteriorating components in miter gates using Markov chain prediction model MA Vega, R Madarshahian, TB Fillmore, MD Todd | 5 | 2023 |
Bayesian estimation of acoustic emission arrival times for source localization R Madarshahian, P Ziehl, MD Todd Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 4 | 2020 |
Using P-box and PiFE to express uncertainty in model updating R Madarshahian, JM Caicedo, BA Zárate Topics in Model Validation and Uncertainty Quantification, Volume 5 …, 2013 | 3 | 2013 |
Transfer length probabilistic model updating in high performance concrete AR Ortiz, R Madarshahian, JM Caicedo, D Rizos Dynamics of Civil Structures, Volume 2: Proceedings of the 34th IMAC, A …, 2016 | 2 | 2016 |
Metamodeling of model evidence R Madarshahian, JM Caicedo Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2016 | 2 | 2016 |