| A future with machine learning: Review of condition assessment of structures and mechanical systems in nuclear facilities HK Sandhu, SS Bodda, A Gupta Energies 16 (6), 2628, 2023 | 11 | 2023 |
| Post-hazard condition assessment of nuclear piping-equipment systems: Novel approach to feature extraction and deep learning HK Sandhu, SS Bodda, A Gupta International Journal of Pressure Vessels and Piping 201, 104849, 2023 | 11 | 2023 |
| Isolation of plane shear wave using water saturated trench barrier P Kumar, HK Sandhu, SK Chakraborty Soil Dynamics and Earthquake Engineering 59, 42-50, 2014 | 11 | 2014 |
| Computer-vision-based vibration tracking using a digital camera: A sparse-optical-flow-based target tracking method GY Nie, SS Bodda, HK Sandhu, K Han, A Gupta Sensors 22 (18), 6869, 2022 | 9 | 2022 |
| Deep Learning Framework for Post-Hazard Condition Monitoring of Nuclear Safety Systems HK Sandhu, SS Bodda, A Gupta STRUCTURAL HEALTH MONITORING 2021, 2021 | 8 | 2021 |
| Artificial Intelligence Based Condition Monitoring of Nuclear Piping-Equipment Systems HK Sandhu North Carolina State University, 2021 | 8 | 2021 |
| External multi-hazard probabilistic risk assessment methodology and applications: A review of the state-of-the-art S Harleen, M Yoshinori, G Abhinav, P Parth IASMiRT, 2019 | 7 | 2019 |
| Flooding Fragility of Concrete Gravity Dam-Foundation System HK Sandhu | 6 | 2015 |
| Condition Monitoring of Nuclear Equipment-Piping Systems Subjected to Normal Operating Loads Using Deep Neural Networks HK Sandhu, SS Bodda, S Sauers, A Gupta Journal of Pressure Vessel Technology 145 (4), 041901, 2023 | 4 | 2023 |
| Condition monitoring of nuclear equipment-piping using deep learning HK Sandhu, SS Bodda, S Sauers, A Gupta IASMiRT, 2022 | 4 | 2022 |
| Fragility of a flood defense structure subjected to multi-hazard scenario SS Bodda, HK Sandhu, A Gupta International Conference on Nuclear Engineering 50046, V004T14A015, 2016 | 3 | 2016 |
| Evaluating and updating fragility of flood defence structures at nuclear power plants H Sandhu, A Gupa, BS Ju, WY Jung IASMiRT, 2015 | 2 | 2015 |
| Structural Health Monitoring of Microreactor Safety Systems Using Convolutional Neural Networks E Yan, HK Sandhu, SS Bodda, A Gupta, X Wu, P Sabharwall Idaho National Lab.(INL), Idaho Falls, ID (United States), 2021 | 1 | 2021 |
| BIM Interoperability Tool for Improving IFC-based Model Data Exchange Between Architectural Design and Structural Analysis for Linear Piping Components NC Crowder, HK Sandhu, SS Bodda, K Han, A Gupta, W Ashe Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2024 | | 2024 |
| A comparative study on deep learning models for condition monitoring of advanced reactor piping systems HK Sandhu, SS Bodda, E Yan, P Sabharwall, A Gupta Mechanical Systems and Signal Processing 209, 111091, 2024 | | 2024 |
| Digital Condition Monitoring of Nuclear Piping-Equipment Systems using Artificial Intelligence Technology HK Sandhu, SS Bodda, A Gupta | | 2023 |
| Detecting Chloride Degradation in Concrete Structures by Developing a Physics-trained Artificial Intelligence Framework P Patel, A Gupta, SS Bodda, HK Sandhu | | 2023 |
Saran Srikanth BoddaResearch Faculty, CNEFS, NC State UniversityVerified email at ncsu.edu
