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GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature
Research article (Computers Environment and Urban Systems, 2020) · cited 30× · AI/ML
GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature
Summary
GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature is a scholarly article[1].
Key Facts
GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature'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). GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature. Retrieved May 24, 2026, from https://4ort.xyz/entity/gsam-a-deep-neural-network-model-for-extracting-computational-representations-of-chinese-addresses-fused-with-geospatial
MLA“GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gsam-a-deep-neural-network-model-for-extracting-computational-representations-of-chinese-addresses-fused-with-geospatial.
BibTeX@misc{4ortxyz_gsam-a-deep-neural-network-model-for-extracting-computational-representations-of-chinese-addresses-fused-with-geospatial_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature}}, year = {2026}, url = {https://4ort.xyz/entity/gsam-a-deep-neural-network-model-for-extracting-computational-representations-of-chinese-addresses-fused-with-geospatial}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature — https://4ort.xyz/entity/gsam-a-deep-neural-network-model-for-extracting-computational-representations-of-chinese-addresses-fused-with-geospatial (retrieved 2026-05-24)
