Peihua Han

Orcid: 0000-0002-2990-5896

According to our database1, Peihua Han authored at least 28 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
WTCLIP: A Wavelet-Aware CLIP Framework for Boundary-Refined Weakly Supervised Semantic Segmentation.
IEEE Trans. Ind. Informatics, May, 2026

Probabilistic and Interaction-Aware Trajectory Prediction Using Score-Based Diffusion Models.
IEEE Trans. Ind. Informatics, January, 2026

2025
Cascaded State Space and Contrastive Learning for Cross-Domain Few-Shot Segmentation.
IEEE Trans. Ind. Informatics, December, 2025

Deep Autoregressive Roll Motion Prediction of Marine Vessels.
IEEE Trans. Ind. Electron., July, 2025

An AIS Data-Driven Hybrid Approach to Ship Trajectory Prediction.
IEEE Trans. Syst. Man Cybern. Syst., January, 2025

A Novel Lightweight State Space Network for Efficient Biological Image Segmentation.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

Semantic Segmentation of Maritime Environments for Unmanned Surface Vehicles with Large Vision Encoders.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

A Dual-Exponential EKF Framework with Bayesian Optimization for Lithium-Ion Battery Remaining Useful Life Prediction.
Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

Dual-Perspective 1D Fully Convolutional Network for State of Health Prediction in Maritime Battery Systems Using Charge and Discharge Curves.
Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

A Dual-Branch Framework Based on Large Vision Models for Underwater Object Detection.
Proceedings of the 2025 13th International Conference on Control, 2025

Comparative Study in Fault Detection under Data Scarcity for Pharmaceutical Device Manufacturing.
Proceedings of the International Conference on Control, Automation and Diagnosis, 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

A Multi-AttentionLSTM model for multi-ship encounter classification.
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

Local Ocean Wave Field Estimation Using a Deep Generative Model of Wave Buoys.
IEEE Trans. Geosci. Remote. Sens., 2023

Informed Clustering for Encounter Type Categorization Based on AIS Data.
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

A Virtual Learning Platform for Biomedical Laboratory Scientists Using Unity3D.
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

Digital Prototyping of a Stocked Cage with Multi-Sensor Integration.
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

Data-Driven Modeling for Transferable Sea State Estimation Between Marine Systems.
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


  Loading...