Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete
Summary
Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete is a scholarly article[1].
Key Facts
Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-durability-assessment-machine-learning-models-for-depth-of-wear-of-environmentally-friendly-concrete
MLA“Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-durability-assessment-machine-learning-models-for-depth-of-wear-of-environmentally-friendly-concrete.
BibTeX@misc{4ortxyz_optimizing-durability-assessment-machine-learning-models-for-depth-of-wear-of-environmentally-friendly-concrete_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-durability-assessment-machine-learning-models-for-depth-of-wear-of-environmentally-friendly-concrete}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete — https://4ort.xyz/entity/optimizing-durability-assessment-machine-learning-models-for-depth-of-wear-of-environmentally-friendly-concrete (retrieved 2026-05-24)
