Search Results - "BEN YAHIA, Noureddine"

A combination of the particle swarm optimization-artificial neurons network algorithm and response surface method to optimize energy consumption and cost during milling of the 2017A alloy by Bousnina, Kamel, Hamza, Anis, Yahia, Noureddine Ben

“…This research aims to predict the cost and energy consumption associated with pocket and groove machining using the hybrid particle swarm…”
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Control of an active suspension system based on long short-term memory (LSTM) learning by Dridi, Issam, Hamza, Anis, Ben Yahia, Noureddine

“…As part of our study, which is a continuation of the research carried out by Dr. Anis HAMZA, Intelligent Neural Network Control for Active Heavy Truck…”
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A new approach to controlling an active suspension system based on reinforcement learning by Dridi, Issam, Hamza, Anis, Ben Yahia, Noureddine

“…Active suspension provides better vehicle control and safety on the road with optimal driving comfort compared to passive suspension. Achieving this requires a…”
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Prediction of QCE using ANN and ANFIS for milling Alloy 2017A by Bousnina, Kamel, Hamza, Anis, Ben Yahia, Noureddine

“…Population growth and economic development, particularly in developing market nations, are driving up global energy consumption at an alarming rate. Despite…”
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Roundness and positioning deviation prediction in single point incremental forming using deep learning approaches by Akrichi, Sofien, Abbassi, Amira, Abid, Sabeur, Ben yahia, Noureddine

“…This article proposes a deep learning technique for the prevision of the geometric accuracy in single point incremental forming. Moreover, predicting geometric…”
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Linear regression and artificial neural network models for predicting abrasive water jet marble drilling quality by Hammouda, Mouna, Ghienne, Martin, Dion, Jean-Luc, Ben Yahia, Noureddine

“…Marble is a fragile and heterogeneous material whose properties vary depending on the nature and origin of the marble. Therefore, the marble machining process…”
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Assessment of cylindricity and roughness tolerances of holes drilled in marble using multiple regression and artificial intelligence by Abbassi, Amira, Trabelsi, Ali, Akrichi, Sofien, Ben Yahia, Noureddine

“…The Calacatta-Carrara marble is widely used due to its excellent physico-chemical characteristics and attractive aspect. However, the sensitivity of this…”
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Experimental study of drilling white Calacatta–Carrara marble using artificial neural approach by Abbassi, Amira, Akrichi, Sofien, Ben Yahia, Noureddine

“…Highly accurate marble processing is increasingly needed to comply with tight parametric/geometric tolerances and surface integrity specifications encountered…”
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Predictive optimization of surface quality, cost, and energy consumption during milling alloy 2017A: an approach integrating GA-ANN and RSM models by Bousnina, Kamel, Hamza, Anis, Ben Yahia, Noureddine

“…Population growth and economic development are leading to an alarming increase in global energy consumption. Numerically controlled machine tools are widely…”
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An energy survey to optimize the technological parameters during the milling of AISI 304L steel using the RSM, ANN and genetic algorithm by Bousnina, Kamel, Hamza, Anis, Ben Yahia, Noureddine

“…The world's population growth has led to increased demand for products, which requires enormous energy consumption. Therefore, energy savings are becoming a…”
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Effect of vibration and welding parameters on spot weld resistance: modeling integrating PSO-ANN and GA algorithm by Bousnina, Kamel, Hamza, Anis, Ben Yahia, Noureddine

“…The estimation and improvement of the strength of 304L stainless steel spot welds were quantitatively analyzed using a hybrid method. This method combines the…”
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An integration of PSO-ANN and ANFIS hybrid models to predict surface quality, cost, and energy (QCE) during milling of alloy 2017A by Bousnina, Kamel, Hamza, Anis, Ben Yahia, Noureddine

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Mechatronic System Design using Model-Based Systems Engineering and Set-Based Concurrent Engineering Principles by BORCHANI, Mohamed Firas, AMMAR, Randa, HAMMADI, Moncef, CHOLEY, Jean-Yves, YAHIA, Noureddine BEN, BARKALLAH, Maher, LOUATI, Jamel

“…In the upstream design stage, designers with narrow knowledge of design for performance (DFP) and design for quality (DFQ) produce a rough part design with…”
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Digital twin-driven dynamic scheduling of a hybrid flow shop by Tliba, Khalil, Diallo, Thierno M. L., Penas, Olivia, Ben Khalifa, Romdhane, Ben Yahia, Noureddine, Choley, Jean-Yves

“…Industries require, nowadays, to be more adaptable to unforeseen real-time events as well as to the rapid evolution of their market (e.g. multiplication of…”
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Model Based Systems Engineering approach for the improvement of manufacturing system flexibility by Tliba, Khalil, Penas, Olivia, Diallo, Thierno M. L, Ben Khalifa, Romdhane, Ben Yahia, Noureddine, Choley, Jean-Yves

“…To meet the increasingly personalized and unpredictable demand experienced by manufacturing industry, we propose a Model Based Systems Engineering (MBSE)…”
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The usage of a system engineering approach for integrating machining constraints in the upstream design stage by Borchani, Mohamed Firas, Hammadi, Moncef, Ben Yahia, Noureddine, Choley, Jean-Yves

“…In the early design stage, designers with narrow knowledge of machining would produce a rough part design with arbitrary geometry. This leads to iterative…”
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Active suspension for all-terrain vehicle with intelligent control using artificial neural networks by Hamza, Anis, Dridi, Issam, Bousnina, Kamel, Ben Yahia, Noureddine

“…The automotive industry focuses on developing advanced protection and stability control systems, particularly for suspension and steering, to enhance vehicle…”
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Integrating model-based system engineering with set-based concurrent engineering principles for reliability and manufacturability analysis of mechatronic products by Borchani, Mohamed Firas, Hammadi, Moncef, Ben Yahia, Noureddine, Choley, Jean-Yves

“…The point-based approach consists of committing a set of requirements and a single design solution from the design space. This approach is time-consuming and…”
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An approach to the influence of the machining process on power consumption and surface quality during the milling of 304L austenitic stainless steel by HAMZA, Anis, BOUSNINA, Kamel, BEN YAHIA, Noureddine

“…Increasing the quality of a machined product and minimizing energy consumption is a primary objective for all industries, given their significant impact on…”
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Modeling and management of human resources in the reconfiguration of production system in industry 4.0 by neural networks by Khalifa, Romdhane Ben, Tliba, Khalil, Thierno Diallo, M. L., Penas, Olivia, Yahia, Noureddine Ben, Choley, Jean-Yves

“…In Industry 4.0, the role of employees changes significantly. Real-time production line control transforms job content. Work processes affect working…”
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