| A similarity-based prognostics approach for remaining useful life estimation of engineered systems T Wang, J Yu, D Siegel, J Lee Prognostics and Health Management, 2008. PHM 2008. International Conference …, 2008 | 650 | 2008 |
| Trajectory similarity based prediction for remaining useful life estimation T Wang University of Cincinnati, 2010 | 174 | 2010 |
| Bearing life prediction based on vibration signals: A case study and lessons learned T Wang Prognostics and Health Management (PHM), 2012 IEEE Conference on, 1-7, 2012 | 61 | 2012 |
| An online adaptive condition-based maintenance method for mechanical systems F Wu, T Wang, J Lee Mechanical Systems and Signal Processing 24 (8), 2985-2995, 2010 | 56 | 2010 |
| Smart pacs workflow systems and methods driven by explicit learning from users S Dekel, A Sherman, SR Ranjan, V Avasarala, X Liu, AN Iankoulski, ... US Patent 8,923,580, 2014 | 53 | 2014 |
| Intelligent ontology update tool LBN Tari, AN Iankoulski, W Tianyi US Patent App. 14/484,380, 2014 | 14 | 2014 |
| Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning H Huang, C Xu, S Yoo, W Yan, T Wang, F Xue Proceedings of the 29th ACM International Conference on Information …, 2020 | 13 | 2020 |
| Application of Big Data Analytics and Machine Learning to Large-Scale Synchrophasor Datasets: Evaluation of Dataset ‘Machine Learning-Readiness’ P Hart, L He, T Wang, VS Kumar, K Aggour, A Subramanian, W Yan IEEE Open Access Journal of Power and Energy 9, 386-397, 2022 | 9 | 2022 |
| Big data analysis of massive PMU datasets: A data platform perspective VS Kumar, T Wang, KS Aggour, P Wang, PJ Hart, W Yan 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2021 | 9 | 2021 |
| Deep anomaly detection for industrial systems: a case study F Xue, W Yan, T Wang, H Huang, B Feng Annual Conference of the PHM Society 12 (1), 8-8, 2020 | 9 | 2020 |
| Intelligent Tools For A Productive Radiologist Workflow: How Machine Learning Enriches Hanging Protocols T Wang, A Iankoulski, B Mullarky White paper, GE Healthcare, 2013 | 9 | 2013 |
| Feature subset selection and ranking T Wang, W Yan US Patent App. 15/486,627, 2018 | 8* | 2018 |
| Domain knowledge integration into data-driven feature discovery W Yan, T Wang, A Pandey, H Goldfarb US Patent App. 15/486,571, 2018 | 6 | 2018 |
| Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method H Huang, F Xue, W Yan, T Wang, S Yoo, C Xu 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 4 | 2021 |
| Flight data anomaly detection and diagnosis with variable association change S He, H Huang, S Yoo, W Yan, F Xue, T Wang, C Xu Proceedings of the 36th Annual ACM Symposium on Applied Computing, 346-354, 2021 | 1 | 2021 |
| A method of learning robust regression models from limited training data T Wang, F Huang WO Patent App. 15/703,189, 2019 | 1* | 2019 |
| Decision-support system for aircraft requiring emergency landings M Sellmann, T Wang, PE Cuddihy, VV Mulwad US Patent 17/134,139, 2023 | | 2023 |
| Phasor-Measurement-Unit-Based Data Analytics Using Digital Twin and PhasorAnalytics Software P Hart, W Yan, T Wang, V Kumar, P Yan, L He, A Subramanian, K Aggour GE Research, 2021 | | 2021 |
Jay LeeClark Distingusihed Professor and Director of Industrial AI, University of Maryland College Park在 umd.edu 的电子邮件经过验证
