Remaining useful life prediction of individual units subject to hard failure Q Zhou, J Son, S Zhou, X Mao, M Salman IIE Transactions 46 (10), 1017-1030, 2014 | 100 | 2014 |
Remaining useful life prediction based on noisy condition monitoring signals using constrained Kalman filter J Son, S Zhou, C Sankavaram, X Du, Y Zhang Reliability Engineering & System Safety 152, 38-50, 2016 | 85 | 2016 |
Evaluation and comparison of mixed effects model based prognosis for hard failure J Son, Q Zhou, S Zhou, X Mao, M Salman IEEE Transactions on Reliability 62 (2), 379-394, 2013 | 63 | 2013 |
RUL prediction for individual units based on condition monitoring signals with a change point J Son, Y Zhang, C Sankavaram, S Zhou IEEE Transactions on Reliability 64 (1), 182-196, 2014 | 52 | 2014 |
A Data Analytics Framework for Smart Asthma Management Based on Remote Health Information Systems with Bluetooth-Enabled Personal Inhalers. J Son, P Flatley Brennan, S Zhou MIS Quarterly 44 (1), 2020 | 34 | 2020 |
Remaining useful life prediction based on the mixed effects model with mixture prior distribution R Kontar, J Son, S Zhou, C Sankavaram, Y Zhang, X Du IISE Transactions 49 (7), 682-697, 2017 | 33 | 2017 |
Variation source identification in manufacturing processes using Bayesian approach with sparse variance components prior J Lee, J Son, S Zhou, Y Chen IEEE Transactions on Automation Science and Engineering 17 (3), 1469-1485, 2020 | 15 | 2020 |
Correlated gamma‐based hidden Markov model for the smart asthma management based on rescue inhaler usage J Son, PF Brennan, S Zhou Statistics in medicine 36 (10), 1619-1637, 2017 | 9 | 2017 |
Prediction of the failure interval with maximum power based on the remaining useful life distribution J Son, Q Zhou, S Zhou, M Salman IIE Transactions 47 (10), 1072-1087, 2015 | 9 | 2015 |
Rescue inhaler usage prediction in smart asthma management systems using joint mixed effects logistic regression model J Son, PF Brennan, S Zhou IIE Transactions 48 (4), 333-346, 2016 | 7 | 2016 |
Alerting patients via health information system considering trust-dependent patient adherence J Son, Y Kim, S Zhou Information Technology and Management 23 (4), 245-269, 2022 | 6* | 2022 |
Product variety in local grocery stores: Differential effects on stock‐keeping unit level sales G Lu, HS Lee, J Son Journal of Operations Management 68 (1), 33-54, 2022 | 5 | 2022 |
A hybrid deep generative network for pore morphology prediction in metal additive manufacturing Z Song, X Wang, Y Gao, J Son, J Wu Journal of Manufacturing Science and Engineering 145 (7), 071005, 2023 | 3 | 2023 |
Constraint programming and logic-based Benders decomposition for the integrated process planning and scheduling problem X Zhu, J Son, X Zhang, J Wu Omega 117, 102823, 2023 | 3 | 2023 |
A neural-network-based proportional hazard model for IoT signal fusion and failure prediction Y Wen, X Guo, J Son, J Wu IISE Transactions 55 (4), 377-391, 2023 | 3 | 2023 |
Hierarchical modeling of microstructural images for porosity prediction in metal additive manufacturing via two-point correlation function Y Gao, X Wang, J Son, X Yue, J Wu IISE Transactions 55 (9), 957-969, 2023 | 2 | 2023 |
Prognostic classification problem in battery health management J Son, R Kontar, S Zhou Advances in Battery Manufacturing, Service, and Management Systems, 127-150, 2016 | 1 | 2016 |
A multiancestral model of colorectal cancer: in vivo evidence that early heterogeneity contributes to cancer progression AA Leystra, B Luers, J Son, CK Sievers, AM Wisinger, AR Schwartz, ... Cancer Research 76 (14_Supplement), 2381-2381, 2016 | 1 | 2016 |
DATA‐DRIVEN PROGNOSTICS FOR BATTERIES SUBJECT TO HARD FAILURE Q Zhou, J Man, J Son Advances in Battery Manufacturing, Service, and Management Systems, 233-254, 2016 | | 2016 |
Data-driven Prognosis and Diagnosis of Event Occurrences with Applications in Manufacturing and Healthcare Systems J Son The University of Wisconsin-Madison, 2016 | | 2016 |