| One-dimensional convolutional neural network-based damage detection in structural joints S Sharma, S Sen Journal of Civil Structural Health Monitoring 10 (5), 1057-1072, 2020 | 70 | 2020 |
| Online structural damage identification technique using constrained dual extended Kalman filter S Sen, B Bhattacharya Structural Control and Health Monitoring 24 (9), e1961, 2017 | 41 | 2017 |
| An online model-based fatigue life prediction approach using extended Kalman filter E Kuncham, S Sen, P Kumar, H Pathak Theoretical and Applied Fracture Mechanics 117, 103143, 2022 | 35 | 2022 |
| Real-time structural damage assessment using LSTM networks: regression and classification approaches S Sharma, S Sen Neural Computing and Applications 35 (1), 557-572, 2023 | 30 | 2023 |
| Bridge damage detection in presence of varying temperature using two-step neural network approach S Sharma, S Sen Journal of Bridge Engineering 26 (6), 04021027, 2021 | 26 | 2021 |
| Uncertainty quantification using the particle filter for non-stationary hydrological frequency analysis S Sen, J He, KS Kasiviswanathan Journal of Hydrology 584, 124666, 2020 | 25 | 2020 |
| Seismic-induced damage detection through parallel force and parameter estimation using an improved interacting Particle-Kalman filter S Sen, A Crinière, L Mevel, F Cérou, J Dumoulin Mechanical Systems and Signal Processing 110, 231-247, 2018 | 24 | 2018 |
| Progressive damage identification using dual extended Kalman filter S Sen, B Bhattacharya Acta Mechanica 227, 2099-2109, 2016 | 22 | 2016 |
| Estimation of local failure in tensegrity using Interacting Particle-Ensemble Kalman Filter N Aswal, S Sen, L Mevel Mechanical Systems and Signal Processing 160, 107824, 2021 | 20 | 2021 |
| Structural health monitoring with non-linear sensor measurements robust to unknown non-stationary input forcing S Sen, N Aswal, Q Zhang, L Mevel Mechanical Systems and Signal Processing 152, 107472, 2020 | 18 | 2020 |
| Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios CT Vidrio-Sahagún, J He, KS Kasiviswanathan, S Sen Journal of Hydrology 598, 125725, 2021 | 17 | 2021 |
| Switching Kalman filter for damage estimation in the presence of sensor faults N Aswal, S Sen, L Mevel Mechanical Systems and Signal Processing 175, 109116, 2022 | 15 | 2022 |
| Comparative study on sensitivity of acceleration and strain responses for bridge health monitoring S Sharma, SK Dangi, SK Bairwa, S Sen Journal of Structural Integrity and Maintenance 7 (4), 238-251, 2022 | 13 | 2022 |
| Early age cracking relevant to mass concrete dam structures during the construction schedule MP Singh, S Sen, H Pathak, AB Dogra Construction and Building Materials 411, 134739, 2024 | 11 | 2024 |
| Bayesian monitoring of substructures under unknown interface assumption E Kuncham, N Aswal, S Sen, L Mevel Mechanical Systems and Signal Processing 193, 110269, 2023 | 8 | 2023 |
| A novel Genetic algorithm based form-finding approach towards the improved design of tensegrity utility bridge S Kumar, N Aswal, S Sen Structures 58, 105401, 2023 | 7 | 2023 |
| Integration of machine learning and particle filter approaches for forecasting soil moisture K Tandon, S Sen, KS Kasiviswanathan, BS Soundharajan, NR Tummuru, ... Stochastic Environmental Research and Risk Assessment 36 (12), 4235-4253, 2022 | 7 | 2022 |
| Toward improving water-energy-food nexus through dynamic energy management of solar powered automated irrigation system N Yadav, B Pattabiraman, NR Tummuru, BS Soundharajan, ... Heliyon 10 (4), 2024 | 6 | 2024 |
| Reliability analysis of 15MW horizontal axis wind turbine rotor blades using fluid-structure interaction simulation and adaptive kriging model A Keprate, N Bagalkot, MS Siddiqui, S Sen Ocean Engineering 288, 116138, 2023 | 6 | 2023 |
| Strain‐based joint damage estimation approach robust to unknown non‐stationary input force N Aswal, S Sen, L Mevel Structural Control and Health Monitoring 29 (10), e2999, 2022 | 6 | 2022 |
Laurent MevelSenior researcher, Directeur de recherche, Inria, Rennes在 inria.fr 的电子邮件经过验证
