Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis

Research article (Iranian Journal of Science and Technology Transactions of Civil Engineering, 2024) · cited 27× · AI/ML
Press Enter · cited answer in seconds

Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis

Summary

Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis is a scholarly article[1].

Key Facts

  • Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/predictive-modelling-of-flexural-strength-in-recycled-aggregate-based-concrete-a-comprehensive-approach-with-machine-lea
MLA “Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predictive-modelling-of-flexural-strength-in-recycled-aggregate-based-concrete-a-comprehensive-approach-with-machine-lea.
BibTeX @misc{4ortxyz_predictive-modelling-of-flexural-strength-in-recycled-aggregate-based-concrete-a-comprehensive-approach-with-machine-lea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/predictive-modelling-of-flexural-strength-in-recycled-aggregate-based-concrete-a-comprehensive-approach-with-machine-lea}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis — https://4ort.xyz/entity/predictive-modelling-of-flexural-strength-in-recycled-aggregate-based-concrete-a-comprehensive-approach-with-machine-lea (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/predictive-modelling-of-flexural-strength-in-recycled-aggregate-based-concrete-a-comprehensive-approach-with-machine-lea · Last refreshed: