Machine Learning

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Materials Joining and Manufacturing Processes – MJMP 2025, PDF eBook DRM Free
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Materials Joining and Manufacturing Processes – MJMP 2025, color print, paperback
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Optimization of process parameters in explosive welding using machine learning
Materials Joining and Manufacturing Processes – MJMP 2025
$0.00 – $125.00
Optimizing parameter selection for machine learning models to predict coating characteristics in cold spray processes on polymeric materials
An analytical predictor machine learning corrector scheme for modeling lateral flow in hot strip rolling
Determination of a machine learning constitutive model from biaxial tensile test: application to thermal forming limits prediction of AA6061 sheets from shear to equi-biaxial tension
Evaluating the impact of 3D constitutive models on predictive performance of xgboost for material parameter identification
Uncertainty analysis in sheet metal forming processes: Troubleshooting with machine learning
Integrating stochastic effects and uncertainties into inverse analysis of hot bulk forging processes through automated API-driven finite element simulations and machine learning
Data driven prognosis of clinch joints in multi-material design
Optimization of friction stir welding parameters for steel joints in shipbuilding using machine learning and finite element analysis