A5028651806- Advanced Welding Techniques Analysis
- Aluminum Alloy Microstructure Properties
- Aluminum Alloys Composites Properties
- Welding Techniques and Residual Stresses
- Metal Forming Simulation Techniques
- Non-Destructive Testing Techniques
- Industrial Vision Systems and Defect Detection
- High-Velocity Impact and Material Behavior
- Magnesium Alloys: Properties and Applications
- Microstructure and mechanical properties
- Photovoltaic System Optimization Techniques
- Advanced machining processes and optimization
- Fatigue and fracture mechanics
- Metallurgy and Material Forming
- Anomaly Detection Techniques and Applications
- Infrastructure Maintenance and Monitoring
- Solar Radiation and Photovoltaics
- COVID-19 diagnosis using AI
- Advanced Machining and Optimization Techniques
- Ergonomics and Musculoskeletal Disorders
- Solar Thermal and Photovoltaic Systems
- Computational Physics and Python Applications
- Water-Energy-Food Nexus Studies
- Additive Manufacturing Materials and Processes
- Water Systems and Optimization
Université de ain Témouchent
2022-2024
Polytechnic School of Algiers
2022
Université de Lille
2014-2017
Polytech Lille
2015-2017
Centre National de la Recherche Scientifique
2017
Texas A&M University at Qatar
2014-2015
Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet
2014-2015
Wastewater treatment plants (WWTPs) are energy-intensive facilities that play a critical role in meeting stringent effluent quality regulations. Accurate prediction of energy consumption WWTPs is essential for cost savings, process optimization, regulatory compliance, and reducing carbon footprint. This paper introduces an efficient approach predicting WWTPs, leveraging deep learning models, data augmentation, feature selection. Specifically, Spline Cubic interpolation enriches the dataset,...
Accurate wind power prediction is critical for efficient grid management and the integration of renewable energy sources into grid. This study presents an effective deep-learning approach that improves short-term forecasting accuracy. The method incorporates a Variational Autoencoder (VAE) with self-attention mechanism applied in both encoder decoder. empowers model to leverage VAE's strengths time-series modeling nonlinear approximation while focusing on most relevant features within data....
Photovoltaic (PV) systems are indispensable elements in clean energy production. Predicting PV power is crucial for optimizing system performance and ensuring grid stability. This paper investigates the of gradient boosting approaches, XGBoost Catboost, predicting power. Datasets recorded each minute, including weather data output from two distinct Brisbane, Australia, used this study evaluation. Results show that slightly outperformed Catboost achieved good prediction performance. Also, was...
This paper proposes a machine learning approach to forecast the mechanical behavior of an aluminum alloy, Al6061-T6, in case friction stir welding. Essentially, we investigate performance bagged trees regression (BT) forecasting stress-strain curve alloy. choice's motivation is due BT's ability improve models by combining multiple learners versus single regressors. Actual data was gathered performing uniaxial tensile testing on both base material and joined using FSW at deformation speed 10...
This study introduces a new method for identifying COVID-19 infections using blood test data as part of an anomaly detection problem by combining the kernel principal component analysis (KPCA) and one-class support vector machine (OCSVM). approach aims to differentiate healthy individuals from those infected with samples. The KPCA model is used identify nonlinear patterns in data, OCSVM detect abnormal features. semi-supervised it uses unlabeled during training only requires cases. method's...
A flexible data-driven methodology was developed to forecast the mechanical behavior of an aluminum alloy, namely Al6061-T6, in case friction stir welding. Specifically, Gated recurrent unit (GRU), a deep learning model, investigated this study. This is first time GRU model has been used stress-strain curve material. The major features consist its ability time-series data and rely only on historical actual from performance demonstrated based collected by conducting uniaxial tensile testing...
The insulation of a building's envelope is critical for reducing energy consumption, enhancing indoor thermal comfort, and achieving sustainable development goals. This theoretical work focused on the aspect insulators glazing to determine optimal best building in Mediterranean region where province Ain Temouchent, Algeria, was taken this study. study evaluated effectiveness materials, which are expanded polystyrene, glass wool, rock wood fiber varying thicknesses, Algerian market. TRNSYS 17...
In order to select the optimum parameters for friction stir welding of twin-roll cast (TRC) AZ31B Mg-Al-Cu alloy, mechanical and microstructural characterizations are performed on welded 3 mm thick sheets under different processing rotational spindle speed feed rate. Used was a tool made from high resistance Sverker 21 steel alloy with 19 diameter cylindrical shoulder 6.4 pin that extrudes 2.7 bottom shoulder. A large number joints were prepared according test matrix various combinations...