Guanxiang Yin

Orcid: 0000-0001-5551-5405

According to our database1, Guanxiang Yin authored at least 13 papers between 2020 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A traffic flow forecasting method based on the GA-SVR.
J. High Speed Networks, 2022

Deep anomaly detection in expressway based on edge computing and deep learning.
J. Ambient Intell. Humaniz. Comput., 2022

Research on adaptive beacon message transmission power in VANETs.
J. Ambient Intell. Humaniz. Comput., 2022

Secure data stream transmission method for cell pathological image storage system.
Int. J. Intell. Syst., 2022

Research on intelligent calculation method of intelligent traffic flow index based on big data mining.
Int. J. Intell. Syst., 2022

Research on 3D medical image surface reconstruction based on data mining and machine learning.
Int. J. Intell. Syst., 2022

Research on highway vehicle detection based on faster R-CNN and domain adaptation.
Appl. Intell., 2022

Research on LSTM Based Traffic Flow Prediction Adaptive Beacon Transmission Period and Power Joint Control.
Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

2020
A Short-Term Traffic Flow Forecasting Method Based on Support Vector Regression Optimized by Genetic Algorithm.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Research on Adaptive Beacon Transmitting Power Based on Vehicle Forecast Error.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

DAD: Deep Anomaly Detection for Intelligent Monitoring of Expressway Network.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Short-Term Traffic Flow Prediction Based on Hybrid Model.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Research of Expressway Vehicle Detection Based on Faster R-CNN and Domain Adaptation.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020


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