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Conference Paper: DeepAIR: A hybrid CNN-LSTM framework for fine-grained air pollution forecast
Title | DeepAIR: A hybrid CNN-LSTM framework for fine-grained air pollution forecast |
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Authors | |
Issue Date | 2020 |
Citation | Distinguished Speaker, Department of Computer Science, University of Texas, Dallas, USA, February 2020 How to Cite? |
Persistent Identifier | http://hdl.handle.net/10722/310220 |
DC Field | Value | Language |
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dc.contributor.author | Li, VOK | - |
dc.date.accessioned | 2022-01-27T04:47:45Z | - |
dc.date.available | 2022-01-27T04:47:45Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Distinguished Speaker, Department of Computer Science, University of Texas, Dallas, USA, February 2020 | - |
dc.identifier.uri | http://hdl.handle.net/10722/310220 | - |
dc.language | eng | - |
dc.relation.ispartof | Distinguished Speaker, Department of Computer Science, University of Texas | - |
dc.title | DeepAIR: A hybrid CNN-LSTM framework for fine-grained air pollution forecast | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | - |
dc.identifier.authority | Li, VOK=rp00150 | - |
dc.identifier.hkuros | 315106 | - |