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Application of Response Surface Methodology and Machine Learning Approaches to Predict Porosity and Compression Strength of Selective Laser-Sintered Polyamide-12 Scaffold Parts

Crossref DOI link: https://doi.org/10.1007/s11665-024-09588-z

Published Online: 2024-05-28

Published Print: 2025-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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