Direct adaptive control based on LS-SVM inverse model for nonlinear systems. - Tarek A. Mahmoud; Lamiaa M. Elshenawy (MMAR, 2014)

Observer-based echo-state neural network control for a class of nonlinear systems. - Tarek A. Mahmoud; Lamiaa M. Elshenawy (Trans. Inst. Meas. Control, 2018)

Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm. - Tarek A. Mahmoud; Mohamed I. Abdo; Emad A. Elsheikh; Lamiaa M. Elshenawy (J. Frankl. Inst., 2021)

Adaptive CIPCA-based fault diagnosis scheme for uncertain time-varying processes. - Chouaib Chakour; Azzedine Hamza; Lamiaa M. Elshenawy (Neural Comput. Appl., 2021)

Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes. - Lamiaa M. Elshenawy; Chouaib Chakour; Tarek A. Mahmoud (J. Frankl. Inst., 2022)

TSK fuzzy echo state neural network: a hybrid structure for black-box nonlinear systems identification. - Tarek A. Mahmoud; Lamiaa M. Elshenawy (Neural Comput. Appl., 2022)

Fault detection of wind turbine system based on data-driven methods: a comparative study. - Lamiaa M. Elshenawy; Ahmed A. Gafar; Hamdi A. Awad; Mahmoud Samy AbouOmar (Neural Comput. Appl., 2024)