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Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas

With the advent of the Internet of Things (IoT), it has become possible to have a variety of data sets generated through numerous types of sensors deployed across large urban areas, thus empowering the notion of smart cities. In smart cities, various types of sensors may fall into different administ...

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Bibliografiska uppgifter
Huvudupphovsmän: Noureen Zafar, Irfan Ul Haq, Jawad-ur-Rehman Chughtai, Omair Shafiq
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2022-04-01
Serie:Sensors
Ämnen:
IoT
GRU
CNN
ITS
Länkar:https://www.mdpi.com/1424-8220/22/9/3348
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