M. Massaoudi

发表

Serial 13C‐Based Flux Analysis of an l‐Phenylalanine‐Producing E. coli Strain Using the Sensor Reactor

Ralf Takors, Wolfgang Wiechert, Aljoscha Wahl, 2004, Biotechnology progress.

Thermodynamics and Kinetics of Heavy Metals Adsorption on Silica Particles Chemically Modified by Conjugated β-Ketoenol Furan

Y. Mabkhot, S. Degoutin, B. Revel, 2015 .

A novel environment-friendly hybrid material based on a modified silica gel with a bispyrazole derivative for the removal of ZnII, PbII, CdII and CuII traces from aqueous solutions

K. Robeyns, S. Degoutin, N. N. Adarsh, 2017 .

An Effective Hybrid Symbolic Regression–Deep Multilayer Perceptron Technique for PV Power Forecasting

M. Trabelsi, S. Refaat, M. Massaoudi, 2022, Energies.

Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review

H. Abu-Rub, S. Refaat, M. Massaoudi, 2021, IEEE Access.

Estimation of the temperature corresponding to the two phases γ and γ' unconstrained state in superalloys for a Finite Element Study

M. Massaoudi, L. Durand, 2001 .

Mechanical Behavior of Interfaces in Nickel-Based Superalloys: Finite Element Method Analysis

A. Altibelli, M. Massaoudi, L. Durand, 2001 .

Mechanical behaviour of a two-phase material from the behaviour of its components: Interface modelling by finite element method

M. Cabié, M. Massaoudi, A. Ponchet, 2008 .

A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting

Haitham Abu-Rub, Shady S. Refaat, Mohamed Massaoudi, 2021, Energy.

Novel Functional Community Detection in Networked Smart Grid Systems-Based Improved Louvain Algorithm

H. Abu-Rub, M. Shadmand, M. Massaoudi, 2023, 2023 IEEE Texas Power and Energy Conference (TPEC).

An Effective Ensemble Learning approach-Based Grid Stability Assessment and Classification

H. Abu-Rub, S. Refaat, M. Massaoudi, 2021, 2021 IEEE Kansas Power and Energy Conference (KPEC).

Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects

Haitham Abu-Rub, Shady S. Refaat, Ines Chihi, 2021, IEEE Access.

Performance Evaluation of Deep Recurrent Neural Networks Architectures: Application to PV Power Forecasting

Shady S. Refaat, Lilia Sidhom, Ines Chihi, 2019, 2019 2nd International Conference on Smart Grid and Renewable Energy (SGRE).

PLS-CNN-BiLSTM: An End-to-End Algorithm-Based Savitzky–Golay Smoothing and Evolution Strategy for Load Forecasting

Haitham Abu-Rub, Shady S. Refaat, Mohamed Massaoudi, 2020, Energies.

Intrusion Detection Method Based on SMOTE Transformation for Smart Grid Cybersecurity

H. Abu-Rub, S. Refaat, M. Massaoudi, 2022, 2022 3rd International Conference on Smart Grid and Renewable Energy (SGRE).

Enhanced Random Forest Model for Robust Short-Term Photovoltaic Power Forecasting Using Weather Measurements

Shady S. Refaat, Lilia Sidhom, Mohamed Trabelsi, 2021, Energies.

A Hybrid Bayesian Ridge Regression-CWT-Catboost Model For PV Power Forecasting

Haitham Abu-Rub, Shady S. Refaat, Mohamed Massaoudi, 2020, 2020 IEEE Kansas Power and Energy Conference (KPEC).

Synthesis of 1-( Pyrrol-2-yl ) imine modified silica as a new sorbent for the removal of toxic metals from aqueous solutions

S. Radi, S. Tighadouini, M. Bacquet, 2014 .

Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method

Haitham Abu-Rub, Shady S. Refaat, Ines Chihi, 2021, IEEE Access.

An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting

Haitham Abu-Rub, Shady S. Refaat, Lilia Sidhom, 2021, IEEE Access.

Adsorption of Cu(II) onto novel silica gel-immobilized bithiophene tripodal receptor

Mustapha, S. Radi, M. Bacquet, 2015 .

Classification of Mechanical Faults in Rotating Machines Using SMOTE Method and Deep Neural Networks

H. Abu-Rub, A. Ghrayeb, S. Refaat, 2022, IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.

Short-Term Dynamic Voltage Stability Status Estimation Using Multilayer Neural Networks

H. Abu-Rub, A. Ghrayeb, S. Refaat, 2023, 2023 IEEE Texas Power and Energy Conference (TPEC).

A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting pdf

Shady S. Refaat, Lilia Sidhom, Ines Chihi, 2019, ArXiv.

Key frames extraction using graph modularity clustering for efficient video summarization

Ezzeddine Zagrouba, Hana Gharbi, Sahbi Bahroun, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review

H. Abu-Rub, M. Massaoudi, Ali Ghrayeb, 2023, IEEE Access.

On the Pivotal Role of Artificial Intelligence Toward the Evolution of Smart Grids

Shady S. Refaat, Mohamed Massaoudi, Haitham Abu‐Rub, 2021, Smart Grid and Enabling Technologies.

X-ray diffraction study of elastic strains for modelling γ/γ′ two-phase behavior

M. Massaoudi, L. Durand, B. Lavelle, 2005 .

Accurate Smart-Grid Stability Forecasting Based on Deep Learning: Point and Interval Estimation Method

H. Abu-Rub, S. Refaat, M. Massaoudi, 2021, 2021 IEEE Kansas Power and Energy Conference (KPEC).

PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method pdf

Shady S. Refaat, Lilia Sidhom, Ines Chihi, 2019, ArXiv.