An obstructive sleep apnea detection approach using a discriminative hidden Markov model from ECG signals C Song, K Liu, X Zhang, L Chen, X Xian IEEE Transactions on Biomedical Engineering 63 (7), 1532-1542, 2015 | 226 | 2015 |
An automatic screening approach for obstructive sleep apnea diagnosis based on single-lead electrocardiogram L Chen, X Zhang, C Song IEEE Transactions on Automation Science and Engineering 12 (1), 106-115, 2014 | 153 | 2014 |
Multiple sensor data fusion for degradation modeling and prognostics under multiple operational conditions H Yan, K Liu, X Zhang, J Shi IEEE Transactions on Reliability 65 (3), 1416-1426, 2016 | 103 | 2016 |
Integration of data-level fusion model and kernel methods for degradation modeling and prognostic analysis C Song, K Liu, X Zhang IEEE Transactions on Reliability 67 (2), 640-650, 2017 | 87 | 2017 |
A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes A Chehade, C Song, K Liu, A Saxena, X Zhang Journal of Quality Technology 50 (2), 150-165, 2018 | 78 | 2018 |
Iterative multi-task learning for time-series modeling of solar panel PV outputs T Shireen, C Shao, H Wang, J Li, X Zhang, M Li Applied energy 212, 654-662, 2018 | 78 | 2018 |
Automatic diagnosis of epileptic seizure in electroencephalography signals using nonlinear dynamics features S Chen, X Zhang, L Chen, Z Yang IEEE Access 7, 61046-61056, 2019 | 70 | 2019 |
Adaptive sensor allocation strategy for process monitoring and diagnosis in a Bayesian network K Liu, X Zhang, J Shi IEEE Transactions on Automation Science and Engineering 11 (2), 452-462, 2013 | 49 | 2013 |
An obstructive sleep apnea detection approach using kernel density classification based on single-lead electrocardiogram L Chen, X Zhang, H Wang Journal of medical systems 39, 1-11, 2015 | 41 | 2015 |
A generic framework for multisensor degradation modeling based on supervised classification and failure surface C Song, K Liu, X Zhang IISE Transactions 51 (11), 1288-1302, 2019 | 28 | 2019 |
An automatic process monitoring method using recurrence plot in progressive stamping processes C Zhou, K Liu, X Zhang, W Zhang, J Shi IEEE Transactions on Automation Science and Engineering 13 (2), 1102-1111, 2015 | 25 | 2015 |
A generic indirect deep learning approach for multisensor degradation modeling D Wang, K Liu, X Zhang IEEE Transactions on Automation Science and Engineering 19 (3), 1924-1940, 2021 | 19 | 2021 |
Nonlinear dynamics modeling of correlated functional process variables for condition monitoring in chemical–mechanical planarization H Wang, X Zhang, A Kumar, Q Huang IEEE transactions on semiconductor manufacturing 22 (1), 188-195, 2009 | 18 | 2009 |
Joint optimization of production and maintenance for a serial–parallel hybrid two-stage production system Y Shen, X Zhang, L Shi Reliability Engineering & System Safety 226, 108600, 2022 | 14 | 2022 |
A prediction method for interior temperature of grain storage via dynamics models: A simulation study D Wang, X Zhang 2015 IEEE International Conference on Automation Science and Engineering …, 2015 | 13 | 2015 |
A regularization-based eXtreme Gradient Boosting approach in foodborne disease trend forecasting S Chen, J Xu, L Chen, X Zhang, L Zhang, J Li MEDINFO 2019: Health and Wellbeing e-Networks for All, 930-934, 2019 | 12 | 2019 |
Spatiotemporal thermal field modeling using partial differential equations with time-varying parameters D Wang, K Liu, X Zhang IEEE Transactions on Automation Science and Engineering 17 (2), 646-657, 2019 | 10 | 2019 |
Simulating energy efficient wireless sensor networks using cellular automata X Xu, X Zhang, L Wang Proceedings of the 2011 Winter Simulation Conference (WSC), 3202-3211, 2011 | 10 | 2011 |
Predicting temporal propagation of seasonal influenza using improved gaussian process model S Chen, J Xu, Y Wu, X Wang, S Fang, J Cheng, H Ma, R Zhang, Y Liu, ... Journal of biomedical informatics 93, 103144, 2019 | 9 | 2019 |
A condition change detection method for solar conversion efficiency in solar cell manufacturing processes J Du, X Zhang, J Shi IEEE Transactions on Semiconductor Manufacturing 32 (1), 82-92, 2018 | 9 | 2018 |