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Lamiaa M. Elshenawy

Observed name: Lamiaa M Elshenawy
ORCID: 0000-0002-6685-3458
Observed ORCID: 0000-0002-6685-3458
OpenAlex ID: A5058914816
Efficient Recursive Principal Component Analysis Algorithms for Process Monitoring
2009 · Lamiaa M. Elshenawy, Shen Yin, et al. · Industrial & Engineering Chemistry Research · 112
Unsupervised machine learning techniques for fault detection and diagnosis in nuclear power plants
2021 · Lamiaa M. Elshenawy, Mohamed A. Halawa, et al. · Progress in Nuclear Energy · 80
Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes
2022 · Lamiaa M. Elshenawy, Chouaib Chakour, et al. · Journal of the Franklin Institute · 69
Fault diagnosis of time-varying processes using modified reconstruction-based contributions
2018 · Lamiaa M. Elshenawy, Tarek A. Mahmoud · Journal of Process Control · 37
Recursive Fault Detection and Isolation Approaches of Time-Varying Processes
2012 · Lamiaa M. Elshenawy, Hamdi. A. Awad · Industrial & Engineering Chemistry Research · 36
Simultaneous Fault Detection and Diagnosis Using Adaptive Principal Component Analysis and Multivariate Contribution Analysis
2020 · Lamiaa M. Elshenawy, Tarek A. Mahmoud, et al. · Industrial & Engineering Chemistry Research · 35
Fault detection of wind turbine system based on data-driven methods: a comparative study
2024 · Lamiaa M. Elshenawy, Ahmed A. Gafar, et al. · Neural Computing and Applications · 30
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Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm
2021 · Tarek A. Mahmoud, Mohamed I. Abdo, et al. · Journal of the Franklin Institute · 21
TSK fuzzy echo state neural network: a hybrid structure for black-box nonlinear systems identification
2022 · Tarek A. Mahmoud, Lamiaa M. Elshenawy · Neural Computing and Applications · 18
Echo State Neural Network Based State Feedback Control for SISO Afine Nonlinear Systems
2015 · Tarek A. Mahmoud, Lamiaa M. Elshenawy · IFAC-PapersOnLine · 16
Adaptive CIPCA-based fault diagnosis scheme for uncertain time-varying processes
2021 · Chouaib Chakour, Azzedine Hamza, et al. · Neural Computing and Applications · 15
Observer-based echo-state neural network control for a class of nonlinear systems
2016 · Tarek A Mahmoud, Lamiaa M Elshenawy · Transactions of the Institute of Measurement and Control · 11
Fault detection and diagnosis strategy for wind turbine system using partial least square technique
2023 · Lamiaa M. Elshenawy, Ahmed A. Gafar, et al. · International Conference on Electronic Engineering (ICEEM) · 5
Enhanced fault detection and diagnosis in wind turbine systems using canonical variate analysis and reconstruction-based contribution method
2025 · Lamiaa M. Elshenawy, Ahmed A. Gafar, et al. · Neural Computing and Applications · 4
Data-Driven Soft Sensors Based on Support Vector Regression and Gray Wolf Optimizer
2023 · Mahmoud S. AbouOmar, Ahmed Badawy, et al. · International Conference on Electronic Engineering (ICEEM) · 3
Unsupervised Deep Autoencoder for Multivariate Cyber-Attack Detection in Industrial Cyber-Physical Systems
2025 · Lamiaa M. Elshenawy, Mohamed Salah, et al. · International Conference on Electronic Engineering (ICEEM) · 2
A self-organizing soft sensor for process control systems: Integrating support vector regression with subtractive clustering
2025 · Lamiaa M. Elshenawy, Ahmed Badawy, et al. · Neural Computing and Applications · 2
Attacks Detection in Industrial Cyber-Physical Systems Using Convolutional Neural Networks
2023 · Mohamed Salah, Lamiaa M. Elshenawy · International Conference on Electronic Engineering (ICEEM) · 2
Real-Time Fault Diagnosis in Wind Turbines via Latent Covariance PLS and Enhanced Contribution Analysis
2025 · Lamiaa M. Elshenawy, Ahmed A. Gafar, et al. · International Conference on Electronic Engineering (ICEEM) · 1
Fault Detection and Isolation Indices for Large-Scale Systems
2019 · Lamiaa M. Elshenawy · International Conference on Computer Engineering & Systems (ICCES) · 1
Integrated Fault Detection and Diagnosis Framework with Ensemble Learning and ProcedureRecommendation for Nuclear Power Plants
2026 · Lamiaa M. Elshenawy, Mohamed Halawa, et al. · SSRN Electronic Journal
Deep Feedforward Neural Network-Based Soft Sensor for Industrial Process Modeling
2025 · Lamiaa M. Elshenawy, Ahmed Badawy, et al. · International Conference on Electronic Engineering (ICEEM)
Intelligent Fault Detection in Electrical Submersible Pumps Systems Using Real-Time Oilfield Data
2025 · Lamiaa M. Elshenawy, Mohamed Fathy Eldeery, et al. · International Conference on Electronic Engineering (ICEEM)
Enhanced Efficiency and Scalability in WIM Systems using Smart Sensors and Centralized Processing
2023 · Mohamed S. Abosreea, Lamiaa M. Elshenawy, et al. · International Conference on Electronic Engineering (ICEEM)
Residual Signal-based Process Monitoring of Industrial Systems
2019 · Lamiaa M. Elshenawy · International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)
Works count: 27
Citation count: 500
H-index: 11
I10-index: 12
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