Lamiaa M. Elshenawy

Orcid: 0000-0002-6685-3458

According to our database1, Lamiaa M. Elshenawy authored at least 9 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Enhanced fault detection and diagnosis in wind turbine systems using canonical variate analysis and reconstruction-based contribution method.
Neural Comput. Appl., October, 2025

A self-organizing soft sensor for process control systems: Integrating support vector regression with subtractive clustering.
Neural Comput. Appl., October, 2025

2024
Fault detection of wind turbine system based on data-driven methods: a comparative study.
Neural Comput. Appl., 2024

2022
TSK fuzzy echo state neural network: a hybrid structure for black-box nonlinear systems identification.
Neural Comput. Appl., 2022

Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes.
J. Frankl. Inst., 2022

2021
Adaptive CIPCA-based fault diagnosis scheme for uncertain time-varying processes.
Neural Comput. Appl., 2021

Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm.
J. Frankl. Inst., 2021

2018
Observer-based echo-state neural network control for a class of nonlinear systems.
Trans. Inst. Meas. Control, 2018

2014
Direct adaptive control based on LS-SVM inverse model for nonlinear systems.
Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014


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