Peihua Han
Orcid: 0000-0002-2990-5896
  According to our database1,
  Peihua Han
  authored at least 19 papers
  between 2020 and 2025.
  
  
Collaborative distances:
Collaborative distances:
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Online presence:
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Bibliography
  2025
    IEEE Trans. Ind. Electron., July, 2025
    
  
    IEEE Trans. Syst. Man Cybern. Syst., January, 2025
    
  
  2024
AIS Data-Based Hybrid Predictor for Short-Term Ship Trajectory Prediction Considering Uncertainties.
    
  
    IEEE Trans. Intell. Transp. Syst., December, 2024
    
  
Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models.
    
  
    IEEE Trans. Ind. Informatics, March, 2024
    
  
    Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2024
    
  
  2023
A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies.
    
  
    IEEE Robotics Autom. Mag., September, 2023
    
  
    IEEE Trans. Geosci. Remote. Sens., 2023
    
  
    Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023
    
  
    Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023
    
  
    Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023
    
  
Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications.
    
  
    Proceedings of the International Conference on Control, Automation and Diagnosis, 2023
    
  
  2022
Impacts of COVID-19 on Ship Behaviours in Port Area: An AIS Data-Based Pattern Recognition Approach.
    
  
    IEEE Trans. Intell. Transp. Syst., 2022
    
  
    IEEE Trans. Intell. Transp. Syst., 2022
    
  
An Uncertainty-Aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses.
    
  
    IEEE Trans. Ind. Informatics, 2022
    
  
A Camera-based Deep-Learning Solution for Visual Attention Zone Recognition in Maritime Navigational Operations.
    
  
    Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
    
  
  2021
A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data.
    
  
    IEEE Trans. Instrum. Meas., 2021
    
  
Data-driven sea state estimation for vessels using multi-domain features from motion responses.
    
  
    Proceedings of the IEEE International Conference on Robotics and Automation, 2021
    
  
  2020
Online Fault Detection in Autonomous Ferries: Using Fault-Type Independent Spectral Anomaly Detection.
    
  
    IEEE Trans. Instrum. Meas., 2020
    
  
A Novel Channel and Temporal-Wise Attention in Convolutional Networks for Multivariate Time Series Classification.
    
  
    IEEE Access, 2020