| Machine learning for reliability engineering and safety applications: Review of current status and future opportunities Z Xu, JH Saleh Reliability Engineering & System Safety 211, 107530, 2021 | 355 | 2021 |
| Accurate remaining useful life prediction with uncertainty quantification: a deep learning and nonstationary gaussian process approach Z Xu, Y Guo, JH Saleh IEEE Transactions on Reliability 71 (1), 443-456, 2021 | 28 | 2021 |
| A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery Z Xu, Y Guo, JH Saleh Neural Computing and Applications 34 (18), 15997-16017, 2022 | 27 | 2022 |
| Advances Toward the Next Generation Fire Detection: Deep LSTM Variational Autoencoder for Improved Sensitivity and Reliability Z Xu, Y Guo, JH Saleh IEEE Access 9, 30636-30653, 2021 | 26 | 2021 |
| Optimization of supercritical airfoil design with buffet effect Z Xu, JH Saleh, V Yang AIAA Journal 57 (10), 4343-4353, 2019 | 26 | 2019 |
| Multi-objective optimization for sensor placement: An integrated combinatorial approach with reduced order model and Gaussian process Z Xu, Y Guo, JH Saleh Measurement 187, 110370, 2022 | 22 | 2022 |
| Machine learning for helicopter accident analysis using supervised classification: Inference, prediction, and implications Z Xu, JH Saleh, R Subagia Reliability Engineering & System Safety 204, 107210, 2020 | 21 | 2020 |
| Tackling Small Data Challenges in Visual Fire Detection: A Deep Convolutional Generative Adversarial Network Approach Z Xu, Y Guo, JH Saleh IEEE Access 9, 3936-3946, 2020 | 13 | 2020 |
| Efficient hybrid Bayesian optimization algorithm with adaptive expected improvement acquisition function Z Xu, Y Guo, JH Saleh Engineering Optimization 53 (10), 1786-1804, 2021 | 11 | 2021 |
| Collaborative Allocation and Optimization of Path Planning for Static and Mobile Sensors in Hybrid Sensor Networks for Environment Monitoring and Anomaly Search Y Guo, Z Xu, J Saleh Sensors 21 (23), 7867, 2021 | 8 | 2021 |
| From regression analysis to deep learning: development of improved proxy measures of state-level household gun ownership DB Gomez, Z Xu, JH Saleh Patterns 1 (9), 100154, 2020 | 8 | 2020 |
| Data-driven analysis and new findings on the loss of tail rotor effectiveness in helicopter accidents JH Saleh, Z Xu, AI Guvir, A Margousian, W Zhang, M Ma Scientific reports 12 (1), 2575, 2022 | 6 | 2022 |
| VisPro: a prognostic SqueezeNet and non-stationary Gaussian process approach for remaining useful life prediction with uncertainty quantification Z Xu, Y Guo, JH Saleh Neural Computing and Applications 34 (17), 14683-14698, 2022 | 5 | 2022 |
| Active Sensing for Space Habitat Environmental Monitoring and Anomaly Detection Y Guo, Z Xu, JH Saleh 2021 IEEE Aerospace Conference (50100), 1-12, 2021 | 3 | 2021 |
| Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery Z Xu, Y Guo, JH Saleh arXiv preprint arXiv:2109.11579, 2021 | 2 | 2021 |
| Deep learning for the next generation (highly sensitive and reliable) ECLSS fire monitoring and detection system Z Xu, Y Guo, JH Saleh 2021 IEEE Aerospace Conference (50100), 1-11, 2021 | 2 | 2021 |
| Eddy current vibration absorber design and experiments B Li, WC Niu, ZY Xu J Northwest Polytech Univ 1, 18-24, 2016 | 2 | 2016 |
| Active Environmental Monitoring and Anomaly Search System for Space Habitat With Markov Decision Process and Active Sensing Y Guo, Z Xu, JH Saleh IEEE Access 9, 49683-49696, 2021 | 1 | 2021 |
| A Mass Spectrometry-Machine Learning Approach for Detecting Volatile Organic Compound Emissions for Early Fire Detection S Kingsley, Z Xu, B Jones, J Saleh, TM Orlando Journal of the American Society for Mass Spectrometry, 2023 | | 2023 |
| NOVEL ARCHITECTURE AND MACHINE LEARNING MODELS FOR SYSTEM PROGNOSTIC AND REMAINING USEFUL LIFE PREDICTION WITH UNCERTAINTY QUANTIFICATION Z Xu Georgia Institute of Technology, 2022 | | 2022 |
