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). Fault and horizon automatic interpretation by CNN: a case study of coalfield. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-and-horizon-automatic-interpretation-by-cnn-a-case-study-of-coalfield
MLA“Fault and horizon automatic interpretation by CNN: a case study of coalfield.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-and-horizon-automatic-interpretation-by-cnn-a-case-study-of-coalfield.
BibTeX@misc{4ortxyz_fault-and-horizon-automatic-interpretation-by-cnn-a-case-study-of-coalfield_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault and horizon automatic interpretation by CNN: a case study of coalfield}}, year = {2026}, url = {https://4ort.xyz/entity/fault-and-horizon-automatic-interpretation-by-cnn-a-case-study-of-coalfield}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fault and horizon automatic interpretation by CNN: a case study of coalfield — https://4ort.xyz/entity/fault-and-horizon-automatic-interpretation-by-cnn-a-case-study-of-coalfield (retrieved 2026-05-24)
