Multi-Component Fusion Temporal Networks to Predict Vehicle Exhaust Based on Remote Monitoring Data

Multi-Component Fusion Temporal Networks to Predict Vehicle Exhaust Based on Remote Monitoring Data

Vehicle exhaust prediction is of great importance for exhaust emissions control and public environment protection, and very challenging because it is influenced by various complex factors, including multi-component temporal dependencies (closeness, period, trend) and external factors, e.g., meteorol...

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Bibliographic Details
Main Authors: Xihong Fei, Fei Long, Feng Li, Qiang Ling
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Vehicle exhaust emissions prediction
multi-component temporal dependencies
1D-CNNs
ANN
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9380451/

Internet

https://ieeexplore.ieee.org/document/9380451/

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