Explore machine learning examples to solve a whole range of until now intractable problems in the industry sector.

Here you can find several worked examples using Neural Designer. 

Predict airfoil self-noise using machine learning

Neural Designer demonstrates how machine learning can be applied to airfoil self-noise prediction, modeling aerodynamic data to estimate sound levels, improve designs, and reduce environmental impact supporting advances in aerospace engineering and noise control.
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Yacht hydrodynamics modeling using machine learning

Optimize yacht design and performance with Neural Designer, which uses machine learning for hydrodynamics modeling by analyzing fluid dynamics data, predicting behavior, and improving efficiency, driving innovation in naval engineering and maritime transport.
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Model nanoparticle adhesive strength using machine learning

Neural Designer uses machine learning to model nanoparticle adhesive strength, analyzing experimental data to predict material behavior, optimize formulations, and support innovation in nanotechnology, product design, and industrial applications.
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Detect forged banknotes using machine learning

Improve banknote authentication processes with Neural Designer, leveraging machine learning to analyze microscopic patterns and textures, identify counterfeit money with precision, and strengthen fraud prevention, supporting banks, retailers, and institutions in ensuring financial integrity.
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