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3. Local-Binary-Pattern-for-surface-defects-in-friction-stir-welding Local-Binary-Pattern-for-surface-defects-in-friction-stir-welding Public

   Friction Stir Welding process is an advanced solid-state joining process which finds application in various industries like automobiles, manufacturing, aerospace and railway firms. Input parameters…

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   In modern computational science, the interplay existing between machine learning and optimization process marks the most vital developments. Optimization plays an important role in mechanical indus…

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5. python-computing-to-design-composite-materials python-computing-to-design-composite-materials Public

   With the help of Python programming, composite materials like particle reinforced and large fiber composite materials were designed.

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6. Supervised-machine-learning-algorithms-to-optimize-the-Ultimate-Tensile-Strength-of-friction-stir-we Supervised-machine-learning-algorithms-to-optimize-the-Ultimate-Tensile-Strength-of-friction-stir-we Public

   In this study, two supervised machine learning algorithms i.e. supervised machine learning regression and supervised machine learning classification model have been used for predicting the Ultimate…