Extended efficient convolutional neural network for concrete crack detection with illustrated merits
Summary
Extended efficient convolutional neural network for concrete crack detection with illustrated merits is a scholarly article[1].
Key Facts
Extended efficient convolutional neural network for concrete crack detection with illustrated merits's instance of is recorded as scholarly article[2].
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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). Extended efficient convolutional neural network for concrete crack detection with illustrated merits. Retrieved May 24, 2026, from https://4ort.xyz/entity/extended-efficient-convolutional-neural-network-for-concrete-crack-detection-with-illustrated-merits
MLA“Extended efficient convolutional neural network for concrete crack detection with illustrated merits.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extended-efficient-convolutional-neural-network-for-concrete-crack-detection-with-illustrated-merits.
BibTeX@misc{4ortxyz_extended-efficient-convolutional-neural-network-for-concrete-crack-detection-with-illustrated-merits_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extended efficient convolutional neural network for concrete crack detection with illustrated merits}}, year = {2026}, url = {https://4ort.xyz/entity/extended-efficient-convolutional-neural-network-for-concrete-crack-detection-with-illustrated-merits}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extended efficient convolutional neural network for concrete crack detection with illustrated merits — https://4ort.xyz/entity/extended-efficient-convolutional-neural-network-for-concrete-crack-detection-with-illustrated-merits (retrieved 2026-05-24)
