Design of neural network predictive controller based on imperialist competitive algorithm for automatic voltage regulator. - Mahmoud Elsisi (Neural Comput. Appl., 2019)

Optimal design of nonlinear model predictive controller based on new modified multitracker optimization algorithm. - Mahmoud Elsisi (Int. J. Intell. Syst., 2020)

An Improved Neural Network Algorithm to Efficiently Track Various Trajectories of Robot Manipulator Arms. - Mahmoud Elsisi; Karar Mahmoud; Matti Lehtonen; Mohamed M. F. Darwish (IEEE Access, 2021)

Effective Nonlinear Model Predictive Control Scheme Tuned by Improved NN for Robotic Manipulators. - Mahmoud Elsisi; Karar Mahmoud; Matti Lehtonen; Mohamed M. F. Darwish (IEEE Access, 2021)

Robust Design of ANFIS-Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations. - Mahmoud Elsisi; Minh-Quang Tran; Karar Mahmoud; Matti Lehtonen; Mohamed M. F. Darwish (IEEE Access, 2021)

Towards Secured Online Monitoring for Digitalized GIS Against Cyber-Attacks Based on IoT and Machine Learning. - Mahmoud Elsisi; Minh-Quang Tran; Karar Mahmoud; Diaa-Eldin A. Mansour; Matti Lehtonen; Mohamed M. F. Darwish (IEEE Access, 2021)

Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment. - Minh-Quang Tran; Mahmoud Elsisi; Karar Mahmoud; Meng-Kun Liu; Matti Lehtonen; Mohamed M. F. Darwish (IEEE Access, 2021)

Optimal design of low computational burden model predictive control based on SSDA towards autonomous vehicle under vision dynamics. - Mahmoud Elsisi; Mohamed Ahmed Ebrahim (Int. J. Intell. Syst., 2021)

Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters. - Mahmoud Elsisi; Karar Mahmoud; Matti Lehtonen; Mohamed M. F. Darwish (Sensors, 2021)

Development of an IoT Architecture Based on a Deep Neural Network against Cyber Attacks for Automated Guided Vehicles. - Mahmoud Elsisi; Minh-Quang Tran (Sensors, 2021)

Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings. - Mahmoud Elsisi; Minh-Quang Tran; Karar Mahmoud; Matti Lehtonen; Mohamed M. F. Darwish (Sensors, 2021)

Optimal Energy Management Solutions Using Artificial Intelligence Techniques for Photovoltaic Empowered Water Desalination Plants Under Cost Function Uncertainties. - Mohamed Ahmed Ebrahim; Salah Mohamed Ramadan Mohamed; Ebtisam Mostafa Mohamed Saied; Mahmoud Elsisi; Chun-Lien Su; Hossam Abdel Hadi (IEEE Access, 2022)

Reliable Deep Learning and IoT-Based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks With Experimental Verification. - Minh-Quang Tran; Mahmoud Elsisi; Meng-Kun Liu; Viet Q. Vu; Karar Mahmoud; Mohamed M. F. Darwish; Almoataz Y. Abdelaziz; Matti Lehtonen (IEEE Access, 2022)

Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system. - Mahmoud Elsisi (Artif. Intell. Rev., 2022)

A Practical Hybrid IoT Architecture with Deep Learning Technique for Healthcare and Security Applications. - Viet Q. Vu; Minh-Quang Tran; Mohammed Amer 003; Mahesh Khatiwada; Sherif S. M. Ghoneim; Mahmoud Elsisi (Inf., 2023)

Reliable IoT Paradigm With Ensemble Machine Learning for Faults Diagnosis of Power Transformers Considering Adversarial Attacks. - Mahmoud N. Ali; Mohammed Amer 003; Mahmoud Elsisi (IEEE Trans. Instrum. Meas., 2023)

Robust Kalman Filter for Position Estimation of Automated Guided Vehicles Under Cyberattacks. - Mahmoud Elsisi; Marnel Altius; Shun-Feng Su; Chun-Lien Su (IEEE Trans. Instrum. Meas., 2023)

Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics. - Mahmoud Elsisi; Mohamed El-Sayed M. Essa (Appl. Intell., 2023)

Reliable Computer Vision With IoT for Fluid Filling Machines. - Mohammed Amer 003; Farid Abu-Sada; Ahmad Abu-Hantash; Moath Abu-Readi; Mahmoud Elsisi; Tayma Daqa; Alya Dababat; Tarek Bejaoui (ISNCC, 2024)

Parameterization of Circuit Breakers for HVDC Transmission Line Between Egypt and the Kingdom of Saudi Arabia Toward Restriking Voltage. - Tamer Eliyan; Mahmoud Elsisi; Mamdouh L. Alghaythi; Meshari S. Alshammari; Fady Wadie (IEEE Access, 2024)

Optimal design of adaptive model predictive control based on improved GWO for autonomous vehicle considering system vision uncertainty. - Mahmoud Elsisi (Appl. Soft Comput., 2024)

A Drone-Assisted Deep Learning-Based IoT System for Monitoring Ship Emissions in Ports Considering Adversarial Attacks. - Mahmoud Elsisi; Jin-Ting Yu; Chun-Che Lai; Chun-Lien Su (IEEE Trans. Instrum. Meas., 2024)

Robust Indoor Positioning of Automated Guided Vehicles in Internet of Things Networks With Deep Convolution Neural Network Considering Adversarial Attacks. - Mahmoud Elsisi; Akhmad Lutfi Rusidi; Minh-Quang Tran; Chun-Lien Su; Mahmoud N. Ali (IEEE Trans. Veh. Technol., 2024)

An IoT-Based Deep-Learning Architecture to Secure Automated Electric Vehicles Against Cyberattacks and Data Loss. - Shimaa Bergies; Tawfiq M. Aljohani; Shun-Feng Su; Mahmoud Elsisi (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Barrier-Function Adaptive Finite-Time Trajectory Tracking Controls for Cyber Resilience in Smart Grids Under an Electricity Market Environment. - Seyed Hossein Rouhani; Chun-Lien Su; Saleh Mobayen; Mostafa Esmaeili Shayan; Mohammad Hassan Khooban; Mahmoud Elsisi (IEEE Trans. Smart Grid, 2024)

A New IoT Architecture with Ensemble Machine Learning for Harmonic Monitoring in Grid-Tied Offshore Wind Power Plants. - Mahmoud Elsisi; Jin-Ting Yu; Seyed Hossein Rouhani; Chih-Ying Han; Chun-Lien Su (IAS, 2025)

Abnormal Harmonic Source Location and Identification in Offshore Wind Farms Grid Connection Using Random Forest Algorithm Considering Adversarial Attack. - Chih-Ying Han; Jin-Ting Yu; Cho-Han Hu; Seyed Hossein Rouhani; Chun-Lien Su; Chiao-Yuan Ke; Mahmoud Elsisi (IAS, 2025)

Enhancing Power System Inertia Estimation through Advanced Neural Networks. - Syed Shahbazuddin; Altaf Q. H. Badar; Chou-Mo Yang; Mahmoud Elsisi (IAS, 2025)

Deep Reinforcement Learning based Smart Inverters in Microgrids with Electric Vehicle Charging Systems Considering False Data Injection Attacks Detection. - Chou-Mo Yang; Pei-Min Huang; Chun-Lien Su; Mahmoud Elsisi (IAS, 2025)

Short-Circuit Current Analysis for DC Shipboard Microgrids. - Jin-Ting Yu; Chun-Lien Su; Mohammadreza Askari Sepestanaki; Seyed Hossein Rouhani; Mahmoud Elsisi; Giuseppe Parise (IAS, 2025)

A New Hybrid Wavelet Transform-Deep Learning for Smart Resilient Inverters in Microgrids Against Cyberattacks. - Chou-Mo Yang; Pei-Min Huang; Chun-Lien Su; Mahmoud Elsisi (IEEE Access, 2025)

A robust IoT architecture for smart inverters in microgrids using hybrid deep learning and signal processing against adversarial attacks. - Mahmoud Elsisi; Shimaa Bergies (Internet Things, 2025)