Home ›
Entities
› academia
› Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations
Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations
Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations
Summary
Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations is a scholarly article[1].
Key Facts
Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-adhesion-strength-of-micropatterned-surfaces-using-gradient-boosting-models-and-explainable-artificial-intell
MLA“Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-adhesion-strength-of-micropatterned-surfaces-using-gradient-boosting-models-and-explainable-artificial-intell.
BibTeX@misc{4ortxyz_predicting-adhesion-strength-of-micropatterned-surfaces-using-gradient-boosting-models-and-explainable-artificial-intell_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-adhesion-strength-of-micropatterned-surfaces-using-gradient-boosting-models-and-explainable-artificial-intell}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations — https://4ort.xyz/entity/predicting-adhesion-strength-of-micropatterned-surfaces-using-gradient-boosting-models-and-explainable-artificial-intell (retrieved 2026-05-24)