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Conference Paper: DeepAIR: A hybrid CNN-LSTM framework for fine-grained air pollution forecast

TitleDeepAIR: A hybrid CNN-LSTM framework for fine-grained air pollution forecast
Authors
Li, VOK
Issue Date2020
Citation
Distinguished Speaker, Department of Computer Science, University of Texas, Dallas, USA, February 2020 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/310220

 

DC FieldValueLanguage
dc.contributor.authorLi, VOK-
dc.date.accessioned2022-01-27T04:47:45Z-
dc.date.available2022-01-27T04:47:45Z-
dc.date.issued2020-
dc.identifier.citationDistinguished Speaker, Department of Computer Science, University of Texas, Dallas, USA, February 2020-
dc.identifier.urihttp://hdl.handle.net/10722/310220-
dc.languageeng-
dc.relation.ispartofDistinguished Speaker, Department of Computer Science, University of Texas-
dc.titleDeepAIR: A hybrid CNN-LSTM framework for fine-grained air pollution forecast-
dc.typeConference_Paper-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150-
dc.identifier.hkuros315106-

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