| Physics-informed deep learning for signal compression and reconstruction of big data in industrial condition monitoring M Russell, P Wang Mechanical Systems and Signal Processing 168, 108709, 2022 | 33 | 2022 |
| An incremental and approximate local outlier probability algorithm for intrusion detection and its evaluation C Hamlet, J Straub, M Russell, S Kerlin Journal of Cyber Security Technology 1 (2), 75-87, 2017 | 25 | 2017 |
| Domain Adversarial Transfer Learning for Generalized Tool Wear Prediction M Russell, PE Wang Annual Conference of the PHM Society 12 (1), 8-8, 2020 | 12 | 2020 |
| Stochastic modeling for tracking and prediction of gradual and transient battery performance degradation MB Russell, EM King, CA Parrish, P Wang Journal of Manufacturing Systems 59, 663-674, 2021 | 11 | 2021 |
| Software design for an intelligent attitude determination and control system M Russell, J Straub Research Experience for Undergraduates Poster Session at the AIAA/USU …, 2015 | 6 | 2015 |
| Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding M Russell, J Kershaw, Y Xia, T Lv, Y Li, H Ghassemi-Armaki, BE Carlson, ... Journal of Intelligent Manufacturing, 1-15, 2023 | 5 | 2023 |
| Characterization of command software for an autonomous attitude determination and control system for spacecraft M Russell, J Straub International journal of computers and applications 39 (4), 198-209, 2017 | 3 | 2017 |
| Mixed-Up Experience Replay for Adaptive Online Condition Monitoring M Russell, P Wang, S Liu, IS Jawahir IEEE Transactions on Industrial Electronics, 2023 | 2 | 2023 |
| Improved Representations for Continual Learning of Novel Motor Health Conditions through Few-Shot Prototypical Networks M Russell, P Wang 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 2 | 2022 |
| Data-driven process characterization and adaptive control in robotic arc welding P Wang, J Kershaw, M Russell, J Zhang, Y Zhang, RX Gao CIRP Annals 71 (1), 45-48, 2022 | 2 | 2022 |
| Maximizing model generalization for machine condition monitoring with Self-Supervised Learning and Federated Learning M Russell, P Wang Journal of Manufacturing Systems 71, 274-285, 2023 | 1 | 2023 |
| Deep learning-based mechanical fault detection and diagnosis of electric motors using directional characteristics of acoustic signals S Ippili, MB Russell, P Wang, DW Herrin Noise Control Engineering Journal 71 (5), 384-389, 2023 | | 2023 |
| Normalizing Flows for Intelligent Manufacturing M Russell, P Wang International Manufacturing Science and Engineering Conference 87240 …, 2023 | | 2023 |
| Generalizable and Adaptable Data-Driven Methods for Overcoming Barriers to Practical Industrial Condition Monitoring M Russell University of Kentucky, 2023 | | 2023 |
| Interpretable Data-Driven Prediction of Resistance Spot Weld Quality P Wang, M Russell, J Kershaw, Y Xia, T Lv, Y Li, H Ghassemi-Armaki, ... International Symposium on Flexible Automation, 2022 | | 2022 |
| Smartphone App Design for Product Use Sustainability Evaluation M Russell, P Hong, L Blakely, M Kirkham, C Enyoghasi, P Wang, ... EcoDesign 2021 International Symposium, 2021 | | 2021 |
| Transferable Deep Learning for In-Situ Tool Wear Diagnosis M Russell, P Wang International Symposium on Flexible Automation 83617, V001T09A006, 2020 | | 2020 |
| Parameter Analysis of an Adaptive, Fault-Tolerant Attitude Control System Using Lazy Learning M Russell | | 2018 |
Peng (Edward) WangAssistant Professor, University of KentuckyVerified email at uky.edu
