| Numerical evaluation of a novel passive variable friction damper for vibration mitigation V Barzegar, S Laflamme, A Downey, M Li, C Hu Engineering Structures 220, 110920, 2020 | 27 | 2020 |
| Ensemble of recurrent neural networks with long short-term memory cells for high-rate structural health monitoring V Barzegar, S Laflamme, C Hu, J Dodson Mechanical Systems and Signal Processing 164, 108201, 2022 | 25 | 2022 |
| Kriging-based reliability analysis considering predictive uncertainty reduction M Li, S Shen, V Barzegar, M Sadoughi, C Hu, S Laflamme Structural and Multidisciplinary Optimization 63, 2721-2737, 2021 | 18 | 2021 |
| Joint training of a predictor network and a generative adversarial network for time series forecasting: A case study of bearing prognostics H Lu, V Barzegar, VP Nemani, C Hu, S Laflamme, AT Zimmerman Expert Systems with Applications 203, 117415, 2022 | 17 | 2022 |
| A physics-informed feature weighting method for bearing fault diagnostics H Lu, VP Nemani, V Barzegar, C Allen, C Hu, S Laflamme, S Sarkar, ... Mechanical Systems and Signal Processing 191, 110171, 2023 | 15 | 2023 |
| GAN-LSTM predictor for failure prognostics of rolling element bearings H Lu, V Barzegar, VP Nemani, C Hu, S Laflamme, AT Zimmerman 2021 IEEE International Conference on Prognostics and Health Management …, 2021 | 12 | 2021 |
| Multi-time resolution ensemble lstms for enhanced feature extraction in high-rate time series V Barzegar, S Laflamme, C Hu, J Dodson Sensors 21 (6), 1954, 2021 | 12 | 2021 |
| Multi-step ahead state estimation with hybrid algorithm for high-rate dynamic systems M Nelson, V Barzegar, S Laflamme, C Hu, ARJ Downey, JD Bakos, ... Mechanical Systems and Signal Processing 182, 109536, 2023 | 7 | 2023 |
| Deterministic and low-latency time-series forecasting of nonstationary signals P Chowdhury, V Barzegar, J Satme, ARJ Downey, S Laflamme, JD Bakos, ... Active and Passive Smart Structures and Integrated Systems XVI 12043, 466-472, 2022 | 1 | 2022 |
| Topological Data Analysis for Real-Time Extraction of Time Series Features A Razmarashooli, YK Chua, V Barzegar, HAN LIU, S Laflamme, C Hu, ... STRUCTURAL HEALTH MONITORING 2023, 2023 | | 2023 |
| Parameter optimization for enhanced modeling of dynamic systems V Barzegar Iowa State University, 2023 | | 2023 |
| Physical Parameter Estimation with Ensemble Learning for State Estimation of High-Rate Dynamic Systems V Barzegar, M Nelson, S Laflamme, C Hu, J Dodson Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2022 | | 2022 |
| Ensemble of Multi-time Resolution Recurrent Neural Networks for Enhanced Feature Extraction in High-Rate Time Series V Barzegar, S Laflamme, C Hu, J Dodson Nonlinear Structures & Systems, Volume 1: Proceedings of the 39th IMAC, A …, 2021 | | 2021 |
| Long short-term memory networks with attention learning for high-rate structural health monitoring M Nelson, V Barzegar, S Laflamme, C Hu, J Dodson Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2021 | | 2021 |
| Sliding Mode Observer with Ensemble Learning for State Estimation of High-Rate Dynamic Systems M Nelson, C Wiersema, V Barzegar, S Laflamme, C Hu, A Downey, ... IWSHM, 2021 | | 2021 |
| Expected Uncertainty Reduction for Sequential Kriging-Based Reliability Analysis M Li, S Shen, V Barzegar, M Sadoughi, S Laflamme, C Hu International Design Engineering Technical Conferences and Computers and …, 2020 | | 2020 |
Simon LaflammeIowa State UniversityVerified email at alum.mit.edu
