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A Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles.

, , and . IEEE Access, (2021)

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Employing machine learning techniques in monitoring autocorrelated profiles., , , , and . Neural Comput. Appl., 35 (22): 16321-16340 (August 2023)Correction to: Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model., , and . Neural Comput. Appl., 34 (23): 21403 (2022)An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring., , , , , and . Expert Syst. Appl., (2022)Monitoring multistage healthcare processes using state space models and a machine learning based framework., , , and . Artif. Intell. Medicine, (2024)Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance., , , and . Neural Comput. Appl., 35 (14): 10677-10693 (May 2023)A Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles., , and . IEEE Access, (2021)Monitoring simple linear profiles in the presence of within- and between-profile autocorrelation., , and . Qual. Reliab. Eng. Int., 39 (3): 752-775 (April 2023)Monitoring logistic profiles using variable sample interval approach., , and . Comput. Ind. Eng., (2021)Improved EWMA schemes for monitoring the ratio of two normal random variables., , , and . Qual. Reliab. Eng. Int., 40 (3): 1341-1360 (April 2024)A network surveillance approach using machine learning based control charts., , , and . Expert Syst. Appl., (June 2023)