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Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales., , , , , , and . IEEE Access, (2019)A lifetime estimation method for multi-component degrading systems with deteriorating spare parts., , , , and . Reliab. Eng. Syst. Saf., (October 2023)Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods., , , and . Eur. J. Oper. Res., 271 (3): 775-796 (2018)Switched sliding mode approach for motion control systems with friction., , , and . J. Syst. Control. Eng., 231 (7): 513-526 (2017)Cycle Consistent Probability Divergences Across Different Spaces., , , and . CoRR, (2021)ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining., , , and . SemEval@NAACL-HLT, page 1287-1291. Association for Computational Linguistics, (2019)A Hybrid Remaining Useful Life Prognosis Method Integrating Transformer Networks and Wiener process., , , , and . SAFEPROCESS, page 1-5. IEEE, (2023)Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3322-3330. PMLR, (2021)Stochastic degradation process modeling and remaining useful life estimation with flexible random-effects., , , , and . J. Frankl. Inst., 354 (6): 2477-2499 (2017)A CNN based functional zone classification method for aerial images., , , , and . IGARSS, page 5449-5452. IEEE, (2016)