A Multiplicative Seasonal ARIMA/GARCH Model in EVN Traffic Prediction

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International Journal of Communications, Network and System Sciences

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ISSN Online: 1913-3723
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"A Multiplicative Seasonal ARIMA/GARCH Model in EVN Traffic Prediction"
written by Quang Thanh Tran, Zhihua Ma, Hengchao Li, Li Hao, Quang Khai Trinh,
published by International Journal of Communications, Network and System Sciences, Vol.8 No.4, 2015

has been cited by the following article(s):

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[17]	A generic framework for forecasting short-term traffic conditions on urban highways 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 2021 DOI:10.1109/DSAA53316.2021.9564192

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[20]	Forecasting Electricity Load of Network Infrastructure Sharing Mobile Sites in Ghana 2021 International Conference on Cyber Security and Internet of Things (ICSIoT), 2021 DOI:10.1109/ICSIoT55070.2021.00016

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[24]	City-Wide Traffic Flow Forecasting Using a Deep Convolutional Neural Network Sensors, 2020 DOI:10.3390/s20020421

[25]	Capacity and Frequency Optimization of Wireless Backhaul Network Using Traffic Forecasting IEEE Access, 2020 DOI:10.1109/ACCESS.2020.2970224

[26]	Representation of Traffic Congestion Data for Urban Road Traffic Networks Based on Pooling Operations Algorithms, 2020 DOI:10.3390/a13040084

[27]	Deep Learning Techniques for Traffic Speed Forecasting with Side Information 2020 IEEE Green Energy and Smart Systems Conference (IGESSC), 2020 DOI:10.1109/IGESSC50231.2020.9285132

[28]	Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks Sensors, 2019 DOI:10.3390/s19102229

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[38]	Linear Algorithms for Radioelectric Spectrum Forecast Algorithms, 2016 DOI:10.3390/a9040082

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	1655362766

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