Bayesian-optimized unsupervised learning approach for structural damage detection. - Kareem A. Eltouny; Xiao Liang 012 (Comput. Aided Civ. Infrastructure Eng., 2021)

High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers. - Kareem A. Eltouny; Seyedomid Sajedi; Xiao Liang 012 (CoRR, 2022)

Uncertainty-Assisted Image-Processing for Human-Robot Close Collaboration. - Seyedomid Sajedi; Wansong Liu; Kareem A. Eltouny; Sara Behdad; Minghui Zheng; Xiao Liang 012 (IEEE Robotics Autom. Lett., 2022)

High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage. - Kareem A. Eltouny; Seyedomid Sajedi; Xiao Liang 012 (CoRR, 2023)

Large-scale structural health monitoring using composite recurrent neural networks and grid environments. - Kareem A. Eltouny; Xiao Liang 012 (Comput. Aided Civ. Infrastructure Eng., 2023)

Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review. - Kareem A. Eltouny; Mohamed Gomaa; Xiao Liang 012 (Sensors, 2023)

Integrating Uncertainty-Aware Human Motion Prediction into Graph-Based Manipulator Motion Planning. - Wansong Liu; Kareem A. Eltouny; Sibo Tian; Xiao Liang 012; Minghui Zheng (CoRR, 2024)

DE-TGN: Uncertainty-Aware Human Motion Forecasting Using Deep Ensembles. - Kareem A. Eltouny; Wansong Liu; Sibo Tian; Minghui Zheng; Xiao Liang 012 (IEEE Robotics Autom. Lett., 2024)

Dmg2Former-AR: Vision Transformers with Adaptive Rescaling for High-Resolution Structural Visual Inspection. - Kareem A. Eltouny; Seyedomid Sajedi; Xiao Liang 012 (Sensors, 2024)

KG-Planner: Knowledge-Informed Graph Neural Planning for Collaborative Manipulators. - Wansong Liu; Kareem A. Eltouny; Sibo Tian; Xiao Liang 012; Minghui Zheng (IEEE Trans Autom. Sci. Eng., 2025)