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). Loss function inversion for improved crack segmentation in steel bridges using a CNN framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/loss-function-inversion-for-improved-crack-segmentation-in-steel-bridges-using-a-cnn-framework
MLA“Loss function inversion for improved crack segmentation in steel bridges using a CNN framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/loss-function-inversion-for-improved-crack-segmentation-in-steel-bridges-using-a-cnn-framework.
BibTeX@misc{4ortxyz_loss-function-inversion-for-improved-crack-segmentation-in-steel-bridges-using-a-cnn-framework_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Loss function inversion for improved crack segmentation in steel bridges using a CNN framework}}, year = {2026}, url = {https://4ort.xyz/entity/loss-function-inversion-for-improved-crack-segmentation-in-steel-bridges-using-a-cnn-framework}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Loss function inversion for improved crack segmentation in steel bridges using a CNN framework — https://4ort.xyz/entity/loss-function-inversion-for-improved-crack-segmentation-in-steel-bridges-using-a-cnn-framework (retrieved 2026-05-24)