Key Frames Extraction Based on Local Features for Efficient Video Summarization. - Hana Gharbi; Mohamed Massaoudi; Sahbi Bahroun; Ezzeddine Zagrouba (ACIVS, 2016)

Key frames extraction using graph modularity clustering for efficient video summarization. - Hana Gharbi; Sahbi Bahroun; Mohamed Massaoudi; Ezzeddine Zagrouba (ICASSP, 2017)

Medium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data. - Mohamed Massaoudi; Ines Chihi; Lilia Sidhom; Mohamed Trabelsi 001; Fakhreddine S. Oueslati (IECON, 2019)

PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method. - Mohamed Massaoudi; Ines Chihi; Lilia Sidhom; Mohamed Trabelsi 001; Shady S. Refaat; Fakhreddine S. Oueslati (CoRR, 2019)

A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting. - Mohamed Massaoudi; Ines Chihi; Lilia Sidhom; Mohamed Trabelsi 001; Shady S. Refaat; Fakhreddine S. Oueslati (CoRR, 2019)

Enhanced Evolutionary Symbolic Regression Via Genetic Programming for PV Power Forecasting. - Mohamed Massaoudi; Ines Chihi; Lilia Sidhom; Mohamed Trabelsi 001; Shady S. Refaat; Fakhreddine S. Oueslati (CoRR, 2019)

Short-Term Electric Load Forecasting Based on Data-Driven Deep Learning Techniques. - Mohamed Massaoudi; Shady S. Refaat; Ines Chihi; Mohamed Trabelsi 001; Haitham Abu-Rub; Fakhreddine S. Oueslati (IECON, 2020)

Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects. - Mohamed Massaoudi; Haitham Abu-Rub; Shady S. Refaat; Ines Chihi; Fakhreddine S. Oueslati (IEEE Access, 2021)

Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method. - Mohamed Massaoudi; Haitham Abu-Rub; Shady S. Refaat; Mohamed Trabelsi 001; Ines Chihi; Fakhreddine S. Oueslati (IEEE Access, 2021)

Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review. - Mohamed Massaoudi; Ines Chihi; Haitham Abu-Rub; Shady S. Refaat; Fakhreddine S. Oueslati (IEEE Access, 2021)

An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting. - Mohamed Massaoudi; Ines Chihi; Lilia Sidhom; Mohamed Trabelsi 001; Shady S. Refaat; Haitham Abu-Rub; Fakhreddine S. Oueslati (IEEE Access, 2021)

Classification of Mechanical Faults in Rotating Machines Using SMOTE Method and Deep Neural Networks. - Maher Messaoudi; Shady S. Refaat; Mohamed Massaoudi; Ali Ghrayeb; Haitham Abu-Rub (IECON, 2022)

Harnessing Recurrent-Based Deep Learning Models for Time Series Photovoltaic Power Forecasting. - Mohamed Massaoudi; Mohammad AlShaikh Saleh; Maymouna Ez Eddin; Erchin Serpedin; Ali Ghrayeb; Haitham Abu-Rub (IECON, 2023)

Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review. - Mohamed Massaoudi; Haitham Abu-Rub; Ali Ghrayeb (IEEE Access, 2023)

Graph Neural Network-Based Node Clustering for Dual-Focused Power Network Partitioning. - Maymouna Ez Eddin; Mohamed Massaoudi; Haitham Abu-Rub; Mohammad B. Shadmand; Mohamed Abdallah (IECON, 2024)

Toward Intelligent Communication and Optimization in EVs: : A tutorial on the Transformative Impact of Large Language Models. - Mohamed Massaoudi; Haitham Abu-Rub; Ali Ghrayeb (IECON, 2024)

Dueling Deep Q-Learning-Based Enhanced Grid Emergency Voltage Stability Control in Power Grids. - Mohamed Massaoudi; Haitham Abu-Rub; Ali Ghrayeb (IECON, 2024)

Advanced Proximal Policy Optimization Strategy for Resilient Cyber-Physical Power Grid Stability Against Hostile Electrical Disruptions. - Mohamed Massaoudi; Maymouna Ez Eddin; Haitham Abu-Rub; Ali Ghrayeb (IECON, 2024)

Cyber-Physical Emulation and Threat Scenario Simulation for Enhanced Microgrid Resilience. - Khandaker Akramul Haque; Mohamed Massaoudi; Leen Al Homoud; Katherine R. Davis 001; Mahmoud Kabalan; Hassan Salamy (IEEE Access, 2025)

SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations. - Mohamed Massaoudi (IEEE Access, 2025)

Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks. - Mohamed Massaoudi; Katherine R. Davis 001 (IEEE Access, 2025)

Analysis and Quantification of Demand Flexibility for Resilient Distribution Networks: A Systematic Review. - Mohamed Massaoudi; Katherine R. Davis 001; Khandaker Akramul Haque (IEEE Access, 2025)

An Efficient Framework for Multi-DER Integration in Distribution Networks With Time-Series Demand Flexibility. - Mohamed Massaoudi; Katherine R. Davis 001; Khandaker Akramul Haque (IEEE Access, 2025)