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Image Processing Based Failure Site Prediction of PC Wires During Wiredrawing Using Supervised Machine Learning Approach
The aim of this work is to develop an image texture and defect morphology based method for predicting failure site whether it is during …
Mohamed Heddar, Brahim Mehdi, Nedjoua Matougui
Applying Machine Learning for Calibrating Kinetic Monte Carlo Simulations of Additive Manufacturing
The kinetic Monte Carlo (kMC) method is a powerful tool for simulating the evolution of processes with known transition rates between …
Mohamed Heddar, Brahim Mehdi, Nedjoua Maatogui
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Micromechanical simulation approach of dual phase steel artificial microstructure using random field model
Micromechanical simulation of artificial micrsotructure generated using a Random Field (RF) model.
Mohamed Heddar, Nedjoua Matougui
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Micromechanical simulation approach of dual phase steel artificial microstructure using random field model