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GeoRiskNet: A Spatio-temporal Graph Deep Learning Framework for AQI Forecasting with Regulatory Risk Interpretation.

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Bibliographic Details
Title: GeoRiskNet: A Spatio-temporal Graph Deep Learning Framework for AQI Forecasting with Regulatory Risk Interpretation.
Authors: R., Anitha1, ramalingam.anitha@gmail.com, N., Shyamala Devi1
Source: International Journal of Intelligent Engineering & Systems; 2026, Vol. 19 Issue 6, p331-357, 27p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 193854393
AccessLevel: 2
PubType: Academic Journal
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  Data: GeoRiskNet: A Spatio-temporal Graph Deep Learning Framework for AQI Forecasting with Regulatory Risk Interpretation.
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      – Type: doi
        Value: 10.22266/ijies2026.0630.19
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 331
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      – TitleFull: GeoRiskNet: A Spatio-temporal Graph Deep Learning Framework for AQI Forecasting with Regulatory Risk Interpretation.
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            NameFull: R., Anitha
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            NameFull: N., Shyamala Devi
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            – D: 01
              M: 06
              Text: 2026
              Type: published
              Y: 2026
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              Value: 19
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            – TitleFull: International Journal of Intelligent Engineering & Systems
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