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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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Bibliografische gegevens
Hoofdauteurs: Noureen Zafar, Irfan Ul Haq, Jawad-ur-Rehman Chughtai, Omair Shafiq
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-04-01
Reeks:Sensors
Onderwerpen:
IoT
GRU
CNN
ITS
Online toegang:https://www.mdpi.com/1424-8220/22/9/3348
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