Home ›
Entities
› academia
› Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study
Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study
Research article (Journal of Building Engineering, 2023) · cited 20× · AI/ML
Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study
Summary
Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study is a scholarly article[1].
Key Facts
Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study'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). Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-models-to-predict-the-residual-tensile-strength-of-glass-fiber-reinforced-polymer-bars-in-strong-alkali
MLA“Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-models-to-predict-the-residual-tensile-strength-of-glass-fiber-reinforced-polymer-bars-in-strong-alkali.
BibTeX@misc{4ortxyz_machine-learning-models-to-predict-the-residual-tensile-strength-of-glass-fiber-reinforced-polymer-bars-in-strong-alkali_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-models-to-predict-the-residual-tensile-strength-of-glass-fiber-reinforced-polymer-bars-in-strong-alkali}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study — https://4ort.xyz/entity/machine-learning-models-to-predict-the-residual-tensile-strength-of-glass-fiber-reinforced-polymer-bars-in-strong-alkali (retrieved 2026-05-24)