Peihua Han

According to our database, Peihua Han authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models.

Peihua Han, Mingda Zhu, Houxiang Zhang

IEEE Trans. Ind. Informatics, March, 2024

2023

A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies.

Houxiang Zhang, Guoyuan Li, Lars Ivar Hatledal, Yingguang Chu, André Listou Ellefsen, Peihua Han, Pierre Major, Robert Skulstad, Tongtong Wang, Hans Petter Hildre

IEEE Robotics Autom. Mag., September, 2023

Local Ocean Wave Field Estimation Using a Deep Generative Model of Wave Buoys.

Peihua Han, Hans Petter Hildre, Houxiang Zhang

IEEE Trans. Geosci. Remote. Sens., 2023

Informed Clustering for Encounter Type Categorization Based on AIS Data.

Weiwei Tian, Peihua Han, Mingda Zhu, Øivind Kåre Kjerstad, Guoyuan Li, Houxiang Zhang

Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

A Virtual Learning Platform for Biomedical Laboratory Scientists Using Unity3D.

Peihua Han, Guoyuan Li, Sai Rana Thattavelil Sunilkumar, Yanran Cao

Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

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

Sihan Gao, Kana Banno, Zhicheng Hu, Peihua Han, Lars Christian Gansel, Guoyuan Li, Houxiang Zhang

Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications.

Fatemeh Kakavandi, Peihua Han, Roger De Reus, Peter Gorm Larsen, Houxiang Zhang

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.

Chunlin Wang, Guoyuan Li, Peihua Han, Ottar Osen, Houxiang Zhang

IEEE Trans. Intell. Transp. Syst., 2022

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

Xu Cheng, Guoyuan Li, Peihua Han, Robert Skulstad, Shengyong Chen, Houxiang Zhang

IEEE Trans. Intell. Transp. Syst., 2022

An Uncertainty-Aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses.

Peihua Han, Guoyuan Li, Xu Cheng, Stian Skjong, Houxiang Zhang

IEEE Trans. Ind. Informatics, 2022

A Camera-based Deep-Learning Solution for Visual Attention Zone Recognition in Maritime Navigational Operations.

Baiheng Wu, Peihua Han, Motoyasu Kanazawa, Hans Petter Hildre, Luman Zhao, Houxiang Zhang, Guoyuan Li

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.

Peihua Han, Guoyuan Li, Robert Skulstad, Stian Skjong, Houxiang Zhang

IEEE Trans. Instrum. Meas., 2021

Data-driven sea state estimation for vessels using multi-domain features from motion responses.

Peihua Han, Guoyuan Li, Stian Skjong, Baiheng Wu, Houxiang Zhang

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.

André Listou Ellefsen, Peihua Han, Xu Cheng, Finn Tore Holmeset, Vilmar Æsøy, Houxiang Zhang

IEEE Trans. Instrum. Meas., 2020

A Novel Channel and Temporal-Wise Attention in Convolutional Networks for Multivariate Time Series Classification.

Xu Cheng, Peihua Han, Guoyuan Li, Shengyong Chen, Houxiang Zhang

IEEE Access, 2020