| Magnetic barkhausen noise technique for early-stage fatigue prediction in martensitic stainless-steel samples Z Li, BB Shenoy, L Udpa, S Udpa, Y Deng Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2021 | 9 | 2021 |
| Deep Learning Techniques for Magnetic Flux Leakage Inspection with Uncertainty Quantification Z Li Michigan State University, 2019 | 5 | 2019 |
| FEM of magnetic flux leakage signal for uncertainty estimation in crack depth classification using bayesian convolutional neural network and deep ensemble Z Li, X Huang, O Elshafiey, S Mukherjee, Y Deng 2021 International Applied Computational Electromagnetics Society Symposium …, 2021 | 4 | 2021 |
| IMU-assisted robotic structured light sensing with featureless registration under uncertainties for pipeline inspection M Alzuhiri, Z Li, A Rao, J Li, P Fairchild, X Tan, Y Deng NDT & E International 139, 102936, 2023 | 3 | 2023 |
| Nonlinear Eddy Current Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel Samples BB Shenoy, Z Li, L Udpa, S Udpa, Y Deng, V Rathod, T Seuaciuc-Osorio Research in Nondestructive Evaluation 32 (6), 295-309, 2021 | 2 | 2021 |
| Fatigue Detection and Estimation in Martensitic Stainless-Steel Using Magnetic Nondestructive Evaluation Technique BB Shenoy, Z Li, L Udpa, S Udpa, Y Deng, T Seuaciuc-Osorio Quantitative Nondestructive Evaluation 85529, V001T14A001, 2021 | 1 | 2021 |
| An automatic calibration algorithm for endoscopic structured light sensors in cylindrical environment M Alzuhiri, Z Li, J Li, A Rao, Y Deng Nondestructive Testing and Evaluation 39 (3), 513-535, 2024 | | 2024 |
| Quantifying predictive uncertainty in damage classification for Nondestructive Evaluation using Bayesian approximation and deep learning Z Li, Y Deng Inverse Problems, 2024 | | 2024 |
| Gradient feature-based method for Defect Detection of Carbon Fiber Reinforced Polymer Materials YD Kotriwar, O Elshafiey, L Peng, Z Li, V Srinivasan, E Davis, Y Deng 2023 IEEE International Conference on Prognostics and Health Management …, 2023 | | 2023 |
| Learning-Based Predictive Uncertainty Estimation of Magnetic Flux Leakage Data for Parametric Defect Classification Z Li, X Huang, S Mukherjee, L Peng, Y Xu, Y Deng 2023 International Applied Computational Electromagnetics Society Symposium …, 2023 | | 2023 |
| Uncertainty Quantification Framework With Interdependent Dynamics of Data, Modeling, and Learning in Nondestructive Evaluation Z Li Michigan State University, 2023 | | 2023 |
| Magnetic Barkhausen Noise Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel B Basti Shenoy, Z Li, L Udpa, S Udpa, Y Deng, T Seuaciuc-Osorio Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2022 | | 2022 |
| Synchronous and Concurrent Multi-Dimensional Structured Light Sensing with Efficient Automatic Calibration Z Li, J Li, A Rao, Y Deng | | |
