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An integrated imputation-prediction scheme for prognostics of battery data with missing observations., , , и . Expert Syst. Appl., (2019)Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries., , , и . ICPHM, стр. 1-8. IEEE, (2016)An integrated framework for diagnosing process faults with incomplete features., , , и . Knowl. Inf. Syst., 64 (1): 75-93 (2022)Extreme Learning Machine Based Prognostics of Battery Life., , , , и . Int. J. Artif. Intell. Tools, 27 (8): 1850036:1-1850036:22 (2018)Imputation-Based Ensemble Techniques for Class Imbalance Learning., , , , и . IEEE Trans. Knowl. Data Eng., 33 (5): 1988-2001 (2021)Multi-step parallel-strategy for estimating the remaining useful life of batteries., , и . CCECE, стр. 1-4. IEEE, (2017)Multi-class heteroscedastic linear dimensionality reduction scheme for diagnosing process faults., , , и . CCECE, стр. 1-4. IEEE, (2017)Multi-step-ahead prediction techniques for Lithium-ion batteries condition prognosis., , и . SMC, стр. 4675-4680. IEEE, (2016)Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data., , , и . IEEE Trans. Smart Grid, 11 (2): 1453-1464 (2020)