Home ›
Entities
› academia
› Comparative evaluation of hybrid machine learning models for predicting the strength of metakaolin-based geopolymer concrete enhanced with Gaussian noise augmentation
Comparative evaluation of hybrid machine learning models for predicting the strength of metakaolin-based geopolymer concrete enhanced with Gaussian noise augmentation
Research article (Journal of Building Engineering, 2025) · cited 55× · AI/ML
Comparative evaluation of hybrid machine learning models for predicting the strength of metakaolin-based geopolymer concrete enhanced with Gaussian noise augmentation
Summary
Comparative evaluation of hybrid machine learning models for predicting the strength of metakaolin-based geopolymer concrete enhanced with Gaussian noise augmentation is a scholarly article[1].
Key Facts
Comparative evaluation of hybrid machine learning models for predicting the strength of metakaolin-based geopolymer concrete enhanced with Gaussian noise augmentation'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). Comparative evaluation of hybrid machine learning models for predicting the strength of metakaolin-based geopolymer concrete enhanced with Gaussian noise augmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-evaluation-of-hybrid-machine-learning-models-for-predicting-the-strength-of-metakaolin-based-geopolymer-conc
MLA“Comparative evaluation of hybrid machine learning models for predicting the strength of metakaolin-based geopolymer concrete enhanced with Gaussian noise augmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-evaluation-of-hybrid-machine-learning-models-for-predicting-the-strength-of-metakaolin-based-geopolymer-conc.
BibTeX@misc{4ortxyz_comparative-evaluation-of-hybrid-machine-learning-models-for-predicting-the-strength-of-metakaolin-based-geopolymer-conc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative evaluation of hybrid machine learning models for predicting the strength of metakaolin-based geopolymer concrete enhanced with Gaussian noise augmentation}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-evaluation-of-hybrid-machine-learning-models-for-predicting-the-strength-of-metakaolin-based-geopolymer-conc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparative evaluation of hybrid machine learning models for predicting the strength of metakaolin-based geopolymer concrete enhanced with Gaussian noise augmentation — https://4ort.xyz/entity/comparative-evaluation-of-hybrid-machine-learning-models-for-predicting-the-strength-of-metakaolin-based-geopolymer-conc (retrieved 2026-05-24)
