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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)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)Employing machine learning techniques in monitoring autocorrelated profiles., , , , and . Neural Comput. Appl., 35 (22): 16321-16340 (August 2023)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)A network surveillance approach using machine learning based control charts., , , and . Expert Syst. Appl., (June 2023)Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters., , , , and . IEEE Access, (2021)Evolutionary support vector regression for monitoring Poisson profiles., , , , and . Soft Comput., 28 (6): 4873-4897 (March 2024)