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Mechanical Properties of 3D-Printed Components Using Fused Deposition Modeling: Optimization Using the Desirability Approach and Machine Learning Regressor.
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- Applied System Innovation (ASI), 2022, v. 5, n. 6, p. 112, doi. 10.3390/asi5060112
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Machine Learning Based Predictive Modeling of Electrical Discharge Machining of Cryo-Treated NiTi, NiCu and BeCu Alloys.
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- Applied System Innovation (ASI), 2022, v. 5, n. 6, p. 107, doi. 10.3390/asi5060107
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- Article
Investigating the effect of cryogenic treatment of workpieces and tools on electrical discharge machining performance.
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- AIMS Materials Science, 2022, v. 9, n. 6, p. 835, doi. 10.3934/matersci.2022051
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- Article
Optimization of tensile strength in 3D printed PLA parts via meta-heuristic approaches: a comparative study.
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- Frontiers in Materials, 2024, p. 1, doi. 10.3389/fmats.2023.1336837
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- Article
Tensile strength analysis of additively manufactured CM 247LC alloy specimen by employing machine learning classifiers.
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- PLoS ONE, 2024, v. 19, n. 7, p. 1, doi. 10.1371/journal.pone.0305744
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- Article