Data-driven approach for AI-based crack detection: techniques, challenges, and future scope

Research article (Frontiers in Sustainable Cities, 2023) · cited 28× · AI/ML
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Data-driven approach for AI-based crack detection: techniques, challenges, and future scope

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Data-driven approach for AI-based crack detection: techniques, challenges, and future scope is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data-driven approach for AI-based crack detection: techniques, challenges, and future scope. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-approach-for-ai-based-crack-detection-techniques-challenges-and-future-scope
MLA “Data-driven approach for AI-based crack detection: techniques, challenges, and future scope.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-approach-for-ai-based-crack-detection-techniques-challenges-and-future-scope.
BibTeX @misc{4ortxyz_data-driven-approach-for-ai-based-crack-detection-techniques-challenges-and-future-scope_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-driven approach for AI-based crack detection: techniques, challenges, and future scope}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-approach-for-ai-based-crack-detection-techniques-challenges-and-future-scope}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data-driven approach for AI-based crack detection: techniques, challenges, and future scope — https://4ort.xyz/entity/data-driven-approach-for-ai-based-crack-detection-techniques-challenges-and-future-scope (retrieved 2026-05-24)

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