Mingyang Zhang
Postdoctoral Researcher
Postdoctoral Researcher
T212 Mechanical Engineering
Full researcher profile
https://research.aalto.fi/...
Palkinnot
Best paper award of the 5th international conference on transportation information and safety
Palkinto tai huomionosoitus tuotoksesta
Koulun palvelutoiminnot
Jan 2019
Tutkimusryhmät
- Meri- ja arktinen tekniikka, Tutkijatohtori
Julkaisut
An object-oriented Bayesian network model for the quantitative risk assessment of navigational accidents in ice-covered Arctic waters
Shanshan Fu, Yue Zhang, Mingyang Zhang, Bing Han, Zhongdai Wu
2023
Reliability Engineering and System Safety
An overview of scholarly literature on navigation hazards in Arctic shipping routes
B. Lin, Mao Zheng, Xiumin Chu, Wengang Mao, Daiyong Zhang, Mingyang Zhang
2023
Environmental Science and Pollution Research
A data mining method to extract traffic network for maritime transport management
Zhao Liu, Hairuo Gao, Mingyang Zhang, Ran Yan, Jingxian Liu
2023
OCEAN AND COASTAL MANAGEMENT
A Deep Learning Method for Ship Detection and Traffic Monitoring in an Offshore Wind Farm Area
Xintong Liu, Yutian Hu, Huiting Ji, Mingyang Zhang, Qing Yu
2023
Journal of Marine Science and Engineering
A quantitative method for the analysis of ship collision risk using AIS data
Zhao Liu, Boyuan Zhang, Mingyang Zhang, Helong Wang, Xiuju Fu
2023
Ocean Engineering
Data-driven framework for extracting global maritime shipping networks by machine learning
Lei Liu, Ryuichi Shibasaki, Yong Zhang, Naoki Kosuge, Mingyang Zhang, Yue Hu
2023
Ocean Engineering
A deep learning method for the prediction of 6-DoF ship motions in real conditions
Mingyang Zhang, Ghalib Taimuri, Jinfen Zhang, Spyros Hirdaris
2023
Proceedings of the Institution of Mechanical Engineers. Part M: Journal of Engineering for the Maritime Environment
A deep learning method for the prediction of focused waves in a wave flume
Mingyang Zhang, Sasan Tavakoli, Spyros Hirdaris
2023
Proceedings of the 12th International Workshop on Ship and Marine Hydrodynamics
A machine learning method for the prediction of ship motion trajectories in real operational conditions
Mingyang Zhang, Pentti Kujala, Mashrura Musharraf, Jinfen Zhang, Spyros Hirdaris
2023
Ocean Engineering
A machine learning method for the probablistic evaluation of ship grounding risk reflecting ship motion uncertainties
Mingyang Zhang, Pentti Kujala, Spyros Hirdaris
2023
Advances in the Collision and Grounding of Ships and Offshore Structures