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). PositionNet: CNN-based GNSS positioning in urban areas with residual maps. Retrieved May 24, 2026, from https://4ort.xyz/entity/positionnet-cnn-based-gnss-positioning-in-urban-areas-with-residual-maps
MLA“PositionNet: CNN-based GNSS positioning in urban areas with residual maps.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/positionnet-cnn-based-gnss-positioning-in-urban-areas-with-residual-maps.
BibTeX@misc{4ortxyz_positionnet-cnn-based-gnss-positioning-in-urban-areas-with-residual-maps_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PositionNet: CNN-based GNSS positioning in urban areas with residual maps}}, year = {2026}, url = {https://4ort.xyz/entity/positionnet-cnn-based-gnss-positioning-in-urban-areas-with-residual-maps}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PositionNet: CNN-based GNSS positioning in urban areas with residual maps — https://4ort.xyz/entity/positionnet-cnn-based-gnss-positioning-in-urban-areas-with-residual-maps (retrieved 2026-05-24)
