An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing

Research article (Decision Analytics Journal, 2024) · cited 33× · AI/ML
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An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing

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An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-investigation-of-the-ensemble-machine-learning-techniques-for-predicting-mechanical-properties-of-printed-parts-in-ad
MLA “An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-investigation-of-the-ensemble-machine-learning-techniques-for-predicting-mechanical-properties-of-printed-parts-in-ad.
BibTeX @misc{4ortxyz_an-investigation-of-the-ensemble-machine-learning-techniques-for-predicting-mechanical-properties-of-printed-parts-in-ad_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing}}, year = {2026}, url = {https://4ort.xyz/entity/an-investigation-of-the-ensemble-machine-learning-techniques-for-predicting-mechanical-properties-of-printed-parts-in-ad}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing — https://4ort.xyz/entity/an-investigation-of-the-ensemble-machine-learning-techniques-for-predicting-mechanical-properties-of-printed-parts-in-ad (retrieved 2026-05-24)

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