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Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network
Research article (Sustainable Cities and Society, 2024) · cited 15× · AI/ML
Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network
Summary
Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network is a scholarly article[1].
Key Facts
Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network'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). Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/simulation-and-prediction-of-daytime-surface-urban-heat-island-intensity-under-multiple-scenarios-via-fully-connected-ne
MLA“Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simulation-and-prediction-of-daytime-surface-urban-heat-island-intensity-under-multiple-scenarios-via-fully-connected-ne.
BibTeX@misc{4ortxyz_simulation-and-prediction-of-daytime-surface-urban-heat-island-intensity-under-multiple-scenarios-via-fully-connected-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network}}, year = {2026}, url = {https://4ort.xyz/entity/simulation-and-prediction-of-daytime-surface-urban-heat-island-intensity-under-multiple-scenarios-via-fully-connected-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network — https://4ort.xyz/entity/simulation-and-prediction-of-daytime-surface-urban-heat-island-intensity-under-multiple-scenarios-via-fully-connected-ne (retrieved 2026-05-24)
