Home ›
Entities
› academia
› Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation
Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation
Research article (Expert Systems with Applications, 2023) · cited 36× · AI/ML
Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation
Summary
Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation is a scholarly article[1].
Key Facts
Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation'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). Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigation-on-the-effect-of-data-quality-and-quantity-of-concrete-cracks-on-the-performance-of-deep-learning-based-im
MLA“Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigation-on-the-effect-of-data-quality-and-quantity-of-concrete-cracks-on-the-performance-of-deep-learning-based-im.
BibTeX@misc{4ortxyz_investigation-on-the-effect-of-data-quality-and-quantity-of-concrete-cracks-on-the-performance-of-deep-learning-based-im_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/investigation-on-the-effect-of-data-quality-and-quantity-of-concrete-cracks-on-the-performance-of-deep-learning-based-im}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation — https://4ort.xyz/entity/investigation-on-the-effect-of-data-quality-and-quantity-of-concrete-cracks-on-the-performance-of-deep-learning-based-im (retrieved 2026-05-24)