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STAGE: a spatiotemporal-knowledge enhanced multi-task generative adversarial network (GAN) for trajectory generation.

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Title: STAGE: a spatiotemporal-knowledge enhanced multi-task generative adversarial network (GAN) for trajectory generation.
Authors: Cao, Zhongcai1,2, Liu, Kang2, kang.liu@siat.ac.cn, Jin, Xin2,3, Ning, Li4, Yin, Ling2, Lu, Feng3,5
Source: International Journal of Geographical Information Science; May2025, Vol. 39 Issue 5, p1100-1127, 28p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 184444438
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PubType: Academic Journal
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  Data: STAGE: a spatiotemporal-knowledge enhanced multi-task generative adversarial network (GAN) for trajectory generation.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>; May2025, Vol. 39 Issue 5, p1100-1127, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184444438
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13658816.2024.2381146
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      – Code: eng
        Text: English
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        PageCount: 28
        StartPage: 1100
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      – TitleFull: STAGE: a spatiotemporal-knowledge enhanced multi-task generative adversarial network (GAN) for trajectory generation.
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            NameFull: Cao, Zhongcai
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            NameFull: Liu, Kang
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            NameFull: Jin, Xin
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            NameFull: Ning, Li
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 39
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