| Bayesian‐optimized unsupervised learning approach for structural damage detection KA Eltouny, X Liang Computer‐Aided Civil and Infrastructure Engineering, 2021 | 54 | 2021 |
| Large‐scale structural health monitoring using composite recurrent neural networks and grid environments KA Eltouny, X Liang Computer‐Aided Civil and Infrastructure Engineering 38 (3), 271-287, 2023 | 40 | 2023 |
| Unsupervised learning methods for data-driven vibration-based structural health monitoring: a review K Eltouny, M Gomaa, X Liang Sensors 23 (6), 3290, 2023 | 27 | 2023 |
| Uncertainty-assisted image-processing for human-robot close collaboration S Sajedi, W Liu, K Eltouny, S Behdad, M Zheng, X Liang IEEE Robotics and Automation Letters 7 (2), 4236-4243, 2022 | 20 | 2022 |
| Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly X Zhang, K Eltouny, X Liang, S Behdad Proceedings of the ASME 2022 International Manufacturing Science and …, 2022 | 8 | 2022 |
| A nonparametric unsupervised learning approach for structural damage detection K Eltouny, X Liang arXiv preprint arXiv:2009.13692, 2020 | 8 | 2020 |
| Twin models for high-resolution visual inspections S Sajedi, KA Eltouny, X Liang Smart Struct. Syst 31, 351-363, 2023 | 3 | 2023 |
| De-tgn: Uncertainty-aware human motion forecasting using deep ensembles KA Eltouny, W Liu, S Tian, M Zheng, X Liang IEEE Robotics and Automation Letters, 2024 | 2 | 2024 |
| Uncertainty‐aware structural damage warning system using deep variational composite neural networks KA Eltouny, X Liang Earthquake Engineering & Structural Dynamics 52 (11), 3345-3368, 2023 | 2 | 2023 |
| High-fidelity visual structural inspections through transformers and learnable resizers K Eltouny, S Sajedi, X Liang arXiv preprint arXiv:2210.12175, 2022 | 2 | 2022 |
| High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage K Eltouny, S Sajedi, X Liang arXiv preprint arXiv:2308.03006, 2023 | 1 | 2023 |
| Hybrid multi-objective architecture for spatiotemporal structural health monitoring K Eltouny, X Liang 12th National Conference on Earthquake Engineering (12NCEE), 2022 | 1 | 2022 |
| Structural Health Monitoring Using Unsupervised Learning Methods with a View on Post-earthquake Damage Detection KAHA Eltouny State University of New York at Buffalo, 2019 | | 2019 |
Xiao LiangZachry Department of Civil & Environmental Engineering, Texas A&M UniversityDirección de correo verificada de tamu.edu
