Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs)

Research article (Cement and Concrete Composites, 2021) · cited 30× · AI/ML
Press Enter · cited answer in seconds

Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs)

Summary

Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs) is a scholarly article[1].

Key Facts

  • Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs)'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). Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs). Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-deep-convolutional-neural-networks-for-automated-and-rapid-identification-and-computation-of-crack-statis
MLA “Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-deep-convolutional-neural-networks-for-automated-and-rapid-identification-and-computation-of-crack-statis.
BibTeX @misc{4ortxyz_application-of-deep-convolutional-neural-networks-for-automated-and-rapid-identification-and-computation-of-crack-statis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs)}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-deep-convolutional-neural-networks-for-automated-and-rapid-identification-and-computation-of-crack-statis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs) — https://4ort.xyz/entity/application-of-deep-convolutional-neural-networks-for-automated-and-rapid-identification-and-computation-of-crack-statis (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/application-of-deep-convolutional-neural-networks-for-automated-and-rapid-identification-and-computation-of-crack-statis · Last refreshed: