| Convolutional Neural Network Approach for Robust Structural Damage Detection and Localization NS Gulgec, M Takac, SN Pakzad Journal of Computing in Civil Engineering 33 (3), 2019 | 108 | 2019 |
| Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment NS Gulgec, M Takáč, SN Pakzad Computer‐Aided Civil and Infrastructure Engineering 35 (12), 1349-1364, 2020 | 78 | 2020 |
| Structural damage detection using convolutional neural networks NS Gulgec, M Takáč, SN Pakzad Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2017 | 71 | 2017 |
| Current challenges with bigdata analytics in structural health monitoring NS Gulgec, GS Shahidi, TJ Matarazzo, SN Pakzad Structural Health Monitoring & Damage Detection, Volume 7: Proceedings of …, 2017 | 39 | 2017 |
| Finite difference neural networks: Fast prediction of partial differential equations Z Shi, NS Gulgec, AS Berahas, SN Pakzad, M Takáč 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 15 | 2020 |
| Parameter estimation of autoregressive-exogenous and autoregressive models subject to missing data using expectation maximization M Horner, SN Pakzad, NS Gulgec Frontiers in Built Environment 5, 109, 2019 | 13 | 2019 |
| Visualization requirements of engineers for risk assessment of embankment dams V Kasireddy, S Ergan, B Akinci, NS Gulgec Visualization in Engineering 3, 1-12, 2015 | 11 | 2015 |
| A comparative study of compressive sensing approaches for a structural damage diagnosis NS Gulgec, SG Shahidi, SN Pakzad Geotechnical and Structural Engineering Congress 2016, 1910-1919, 2016 | 10 | 2016 |
| Experimental study on digital image correlation for deep learning-based damage diagnostic NS Gulgec, M Takáč, SN Pakzad Dynamics of Civil Structures, Volume 2: Proceedings of the 37th IMAC, A …, 2020 | 9 | 2020 |
| Compressive sensing strategies for multiple damage detection and localization SG Shahidi, NS Gulgec, SN Pakzad Dynamics of Civil Structures, Volume 2: Proceedings of the 34th IMAC, A …, 2016 | 9 | 2016 |
| FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods NS Gulgec, Z Shi, N Deshmukh, SN Pakzad, M Takáč arXiv preprint arXiv:1910.12680, 2019 | 8 | 2019 |
| Innovative sensing by using deep learning framework NS Gulgec, M Takáč, SN Pakzad Dynamics of Civil Structures, Volume 2: Proceedings of the 36th IMAC, A …, 2019 | 7 | 2019 |
| Integrated Information Repository for Risk Assessment of Embankment Dams: Requirements Identification for Evaluating the Risk of Internal Erosion NS Gulgec, S Ergan, B Akinci, CJ Kelly Journal of Computing in Civil Engineering 30 (3), 04015038, 2016 | 6 | 2016 |
| Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic NS Gulgec, M Takáč, SN Pakzad Structure and Infrastructure Engineering 17 (11), 1459-1473, 2021 | 3 | 2021 |
| Machine Learning Based Sensing and Data Processing Strategies for Next Generation Structural Health Monitoring NS Gulgec Lehigh University, 2020 | 2 | 2020 |
| Structural Damage Diagnosis with Time-Varying Loads Using Convolutional Neural Network NS Gulgec, M Takac, SN Pakzad Fourth Conference on Smart Monitoring, Assessment and Rehabilitation of …, 2017 | 1 | 2017 |
| Multi-LSTM-Based Framework for Ambient Intelligence NS Gulgec, M Takáč, SN Pakzad Dynamics of Civil Structures, Volume 2: Proceedings of the 39th IMAC, A …, 2022 | | 2022 |
| Façade Inspection Comparative Study: Binocular, Close-up, and AI-assisted K Burzynska, NS Gulgec, K Maschke, B Hiriyur Concrete Repair Bulletin 34 (1), 14-18, 2021 | | 2021 |
Shamim PakzadLehigh UniversityVerifisert e-postadresse på lehigh.edu