Author

Muhammad Ali Siddiqui

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Open access Jul 2026

Predicting the Young's Modulus of biomedical titanium alloys using machine learning: a data-driven approach.

Comparative analysis with XGBoost, Random Forest, Gradient Boosting, and Support Vector Machine confirmed the capability of the proposed DNN model for capturing complex behavior non-linear relationships in Ti-Alloys data.

Muhammad Shahmir Saif, Muhammad Ali Siddiqui, Fahim Raees · Scientific Reports · 1 citation