A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale

Research article (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2018) · cited 22× · AI/ML
Press Enter · cited answer in seconds

A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale

Summary

A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale is a scholarly article[1].

Key Facts

  • A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-residual-network-integrating-spatial-temporal-properties-to-predict-influenza-trends-at-an-intra-urban-scale
MLA “A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-residual-network-integrating-spatial-temporal-properties-to-predict-influenza-trends-at-an-intra-urban-scale.
BibTeX @misc{4ortxyz_a-deep-residual-network-integrating-spatial-temporal-properties-to-predict-influenza-trends-at-an-intra-urban-scale_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-residual-network-integrating-spatial-temporal-properties-to-predict-influenza-trends-at-an-intra-urban-scale}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale — https://4ort.xyz/entity/a-deep-residual-network-integrating-spatial-temporal-properties-to-predict-influenza-trends-at-an-intra-urban-scale (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-deep-residual-network-integrating-spatial-temporal-properties-to-predict-influenza-trends-at-an-intra-urban-scale · Last refreshed: