Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning

Research article (International Journal of Applied Earth Observation and Geoinformation, 2023) · cited 27× · AI/ML
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Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning

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Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning is a scholarly article[1].

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  • Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-transmission-trend-of-respiratory-viruses-in-new-regions-via-geospatial-similarity-learning
MLA “Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-transmission-trend-of-respiratory-viruses-in-new-regions-via-geospatial-similarity-learning.
BibTeX @misc{4ortxyz_predicting-the-transmission-trend-of-respiratory-viruses-in-new-regions-via-geospatial-similarity-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-transmission-trend-of-respiratory-viruses-in-new-regions-via-geospatial-similarity-learning}, note = {Accessed: 2026-05-24}}
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