Guangyuan Pan

Orcid: 0000-0003-0115-6659

According to our database1, Guangyuan Pan authored at least 19 papers between 2014 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Development of an Automated Global Crash Prediction Model With Adaptive Feature Selection of Deep Neural Networks.
IEEE Trans. Ind. Informatics, October, 2024

2023
A Dimensionality-Reducible Operational Optimal Control for Wastewater Treatment Process.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

A maximum-entropy-attention-based convolutional neural network for image perception.
Neural Comput. Appl., April, 2023

An Adaptive Hybrid Attention Based Convolutional Neural Net for Intelligent Transportation Object Recognition.
IEEE Trans. Intell. Transp. Syst., 2023

Air Quality Index Forecasting via Genetic Algorithm-Based Improved Extreme Learning Machine.
IEEE Access, 2023

TRFN: Triple-Receptive-Field Network for Regional-Texture and Holistic-Structure Image Inpainting.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Hybrid U-Net: Instrument Semantic Segmentation in RMIS.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Traffic Accident Forecasting Based on a GrDBN-GPR Model with Integrated Road Features.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Road Meteorological State Recognition in Extreme Weather Based on an Improved Mask-RCNN.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
An improved picture-based prediction method of PM2.5 concentration.
IET Image Process., 2022

2021
A structure-self-organizing DBN for image recognition.
Neural Comput. Appl., 2021

2020
Road safety performance function analysis with visual feature importance of deep neural nets.
IEEE CAA J. Autom. Sinica, 2020

Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data.
CoRR, 2020

2019
A regularization-reinforced DBN for digital recognition.
Nat. Comput., 2019

Adaptive Traffic Signal Control with Deep Reinforcement Learning An Exploratory Investigation.
CoRR, 2019

2018
An Improved Deep Belief Network Model for Road Safety Analyses.
CoRR, 2018

Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network.
CoRR, 2018

2017
A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data.
CoRR, 2017

2014
An improved RBM based on Bayesian Regularization.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014


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