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Correction to: Quality 4.0: a review of big data challenges in manufacturing., , and . J. Intell. Manuf., 32 (8): 2375 (2021)Process-monitoring-for-quality - A machine learning-based modeling for rare event detection., , and . Array, (2020)Parsimonious Modeling for Binary Classification of Quality in a High Conformance Manufacturing Environment., and . Trans. Mach. Learn. Data Min., 11 (1): 257-41 (2018)Quality 4.0: a review of big data challenges in manufacturing., , and . J. Intell. Manuf., 32 (8): 2319-2334 (2021)Learning with Missing Data., , , and . IEEE BigData, page 5037-5045. IEEE, (2020)Process-Monitoring-for-Quality - A Model Selection Criterion for Genetic Programming., , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 151-164. Springer, (2019)Machine Learning and Pattern Recognition Techniques for Information Extraction to Improve Production Control and Design Decisions., and . ICDM, volume 10357 of Lecture Notes in Computer Science, page 286-300. Springer, (2017)Prognosis patients with COVID-19 using deep learning., , , , , , , and . BMC Medical Informatics Decis. Mak., 22 (1): 78 (2022)