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Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street
Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street
Summary
Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street is a scholarly article[1].
Key Facts
Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street's instance of is recorded as scholarly article[2].
References
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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). Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-machine-learning-and-multi-dimensional-perception-in-urban-spatial-quality-evaluation-a-case-study-of-sha
MLA“Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-machine-learning-and-multi-dimensional-perception-in-urban-spatial-quality-evaluation-a-case-study-of-sha.
BibTeX@misc{4ortxyz_application-of-machine-learning-and-multi-dimensional-perception-in-urban-spatial-quality-evaluation-a-case-study-of-sha_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-machine-learning-and-multi-dimensional-perception-in-urban-spatial-quality-evaluation-a-case-study-of-sha}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street — https://4ort.xyz/entity/application-of-machine-learning-and-multi-dimensional-perception-in-urban-spatial-quality-evaluation-a-case-study-of-sha (retrieved 2026-05-24)
