| Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review A Sabato, S Dabetwar, NN Kulkarni, G Fortino IEEE Sensors Journal 23 (5), 4672-4684, 2023 | 53 | 2023 |
| Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data JP Dias, S Ekwaro-Osire, A Cunha Jr, S Dabetwar, A Nispel, ... International Journal of Fatigue 127, 246-258, 2019 | 50 | 2019 |
| Damage classification of composites based on analysis of lamb wave signals using machine learning S Dabetwar, S Ekwaro-Osire, JP Dias ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021 | 34 | 2021 |
| Comparative analysis of infrared thermography processing techniques for roadways’ sub-pavement voids detection NN Kulkarni, S Dabetwar, J Benoit, T Yu, A Sabato NDT & E International 129, 102652, 2022 | 30 | 2022 |
| Fatigue damage diagnostics of composites using data fusion and data augmentation with deep neural networks S Dabetwar, S Ekwaro-Osire, JP Dias Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2022 | 27 | 2022 |
| Damage classification of composites using machine learning S Dabetwar, S Ekwaro-Osire, JP Dias ASME international mechanical engineering congress and exposition 83501 …, 2019 | 24 | 2019 |
| Sensitivity analysis of unmanned aerial vehicle-borne 3D point cloud reconstruction from infrared images S Dabetwar, NN Kulkarni, M Angelosanti, C Niezrecki, A Sabato Journal of Building Engineering 58, 105070, 2022 | 22 | 2022 |
| Prognostics and health management of wind energy infrastructure systems C Yüce, O Gecgel, O Doğan, S Dabetwar, Y Yanik, OC Kalay, E Karpat, ... ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022 | 19 | 2022 |
| Damage detection of composite materials using data fusion with deep neural networks S Dabetwar, S Ekwaro-Osire, JP Dias Turbo Expo: Power for Land, Sea, and Air 84225, V10BT27A019, 2020 | 18 | 2020 |
| Performance evaluation of deep learning algorithms for heat loss damage classification in buildings from UAV-borne infrared images S Dabetwar, R Padhye, NN Kulkarni, C Niezrecki, A Sabato Journal of Building Engineering 75, 106948, 2023 | 11 | 2023 |
| 3D-DIC analysis for BIM-oriented SHM of a lab-scale aluminium frame structure M Angelosanti, S Debetwar, E Curra, A Sabato Journal of Physics: Conference Series 2041 (1), 012009, 2021 | 8 | 2021 |
| Mass imbalance diagnostics in wind turbines using deep learning with data augmentation S Dabetwar, S Ekwaro-Osire, JP Dias, GR Hübner, CM Franchi, ... ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2023 | 7 | 2023 |
| Probabilistic Approach to Determine the Efficiency of Ocean Wave Energy Conversion Systems S Ekwaro-Osire, FM Alemayehu, J Chapman, O Gecgel, S Dabetwar, ... ASME International Mechanical Engineering Congress and Exposition 50589 …, 2016 | 7 | 2016 |
| Advancements in structural health monitoring using combined computer-vision and unmanned aerial vehicles approaches A Sabato, C Niezrecki, S Dabetwar, NN Kulkarni, F Bottalico, T Nieduzak European Workshop on Structural Health Monitoring, 417-426, 2022 | 6 | 2022 |
| Detecting Subsurface Voids in Roadways Using UAS with Infrared Thermal Imaging A Sabato, T Yu, NN Kulkarni, S Dabetwar Massachusetts. Dept. of Transportation. Office of Transportation Planning, 2022 | 6 | 2022 |
| A parametric probabilistic approach to quantify uncertainties in a non-linear cumulative fatigue damage model considering limited data JP Dias, S Ekwaro-Osire, A Cunha Jr, FM Alemayehu, S Dabetwar, ... Twelfth International Conference on Fatigue Damage of Structural Materials …, 2018 | 6 | 2018 |
| Wind Turbine Rotor aerodynamic imbalance detection using CNN GR Hübner, LD da Rosa, CE de Souza, H Pinheiro, CM Franchi, ... Journal of Physics: Conference Series 2265 (3), 032104, 2022 | 4 | 2022 |
| A sensor-based calibration system for three-dimensional digital image correlation F Bottalico, NA Valente, S Dabetwar, K Jerath, Y Luo, C Niezrecki, ... Health Monitoring of Structural and Biological Systems XVI 12048, 309-316, 2022 | 4 | 2022 |
| Fatigue damage diagnostics and prognostics of composites using artificial intelligence methods for experimental data SU Dabetwar | 3 | 2020 |
| A comprehensive framework for estimating the remaining useful life of Li-ion batteries under limited data conditions with no temporal identifier C Lopez-Salazar, S Ekwaro-Osire, S Dabetwar, F Alemayehu Reliability Engineering & System Safety 253, 110517, 2025 | | 2025 |
Fisseha Meresa AlemayehuWest Texas A&M UniversityCorreu electrònic verificat a wtamu.edu