Home ›
Entities
› academia
› Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization
Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization
Research article (Engineering Applications of Artificial Intelligence, 2025) · cited 23× · AI/ML
Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization
Summary
Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization is a scholarly article[1].
Key Facts
Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization'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). Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/strength-and-durability-predictions-of-ternary-blended-nano-engineered-high-performance-concrete-application-of-hybrid-m
MLA“Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/strength-and-durability-predictions-of-ternary-blended-nano-engineered-high-performance-concrete-application-of-hybrid-m.
BibTeX@misc{4ortxyz_strength-and-durability-predictions-of-ternary-blended-nano-engineered-high-performance-concrete-application-of-hybrid-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization}}, year = {2026}, url = {https://4ort.xyz/entity/strength-and-durability-predictions-of-ternary-blended-nano-engineered-high-performance-concrete-application-of-hybrid-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization — https://4ort.xyz/entity/strength-and-durability-predictions-of-ternary-blended-nano-engineered-high-performance-concrete-application-of-hybrid-m (retrieved 2026-05-24)
