Παρακολούθηση
Mingyang Zhang
Mingyang Zhang
Aalto University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα aalto.fi - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters
M Zhang, D Zhang, F Goerlandt, X Yan, P Kujala
Safety science 111, 128-143, 2019
2492019
Deep learning for autonomous ship-oriented small ship detection
Z Chen, D Chen, Y Zhang, X Cheng, M Zhang, C Wu
Safety Science 130, 104812, 2020
1962020
A big data analytics method for the evaluation of ship-ship collision risk reflecting hydrometeorological conditions
M Zhang, J Montewka, T Manderbacka, P Kujala, S Hirdaris
Reliability Engineering & System Safety, 107674, 2021
1942021
A probabilistic model of human error assessment for autonomous cargo ships focusing on human–autonomy collaboration
M Zhang, D Zhang, H Yao, K Zhang
Safety Science 130, 104838, 2020
1532020
A method for the direct assessment of ship collision damage and flooding risk in real conditions
M Zhang, F Conti, H Le Sourne, D Vassalos, P Kujala, D Lindroth, ...
Ocean Engineering 237, 109605, 2021
1302021
A predictive analytics method for maritime traffic flow complexity estimation in inland waterways
M Zhang, D Zhang, S Fu, P Kujala, S Hirdaris
Reliability Engineering & System Safety, 2022
1252022
A path planning approach based on multi-direction A* algorithm for ships navigating within wind farm waters
L Xie, S Xue, J Zhang, M Zhang, W Tian, S Haugen
Ocean Engineering 184, 311-322, 2019
1152019
Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters
C Zhang, D Zhang, M Zhang, W Mao
Ocean Engineering 186, 106071, 2019
982019
A framework for quantitative analysis of the causation of grounding accidents in arctic shipping
S Fu, Y Yu, J Chen, Y Xi, M Zhang
Reliability Engineering & System Safety 226, 108706, 2022
952022
A novel real-time collision risk awareness method based on velocity obstacle considering uncertainties in ship dynamics
X Yuan, D Zhang, J Zhang, M Zhang, CG Soares
Ocean Engineering 220, 108436, 2021
902021
Evaluation of urban bus service reliability on variable time horizons using a hybrid deep learning method
T Zhou, W Wu, L Peng, M Zhang, Z Li, Y Xiong, Y Bai
Reliability Engineering & System Safety, 108090, 2022
882022
Safety distance modeling for ship escort operations in Arctic ice-covered waters
M Zhang, D Zhang, S Fu, X Yan, V Goncharov
Ocean Engineering 146, 202-216, 2017
872017
A machine learning method for the evaluation of ship grounding risk in real operational conditions
M Zhang, P Kujala, S Hirdaris
Reliability Engineering & System Safety 226, 108697, 2022
802022
A machine learning method for the prediction of ship motion trajectories in real operational conditions
M Zhang, P Kujala, M Musharraf, J Zhang, S Hirdaris
Ocean Engineering 283, 114905, 2023
712023
An integrated risk assessment model for safe Arctic navigation
C Zhang, D Zhang, M Zhang, X Lang, W Mao
Transportation Research Part A: Policy and Practice 142, 101-114, 2020
672020
A complex path model for low-carbon sustainable development of enterprise based on system dynamics
W Zhang, M Zhang, S Wu, F Liu
Journal of Cleaner Production 321, 128934, 2021
652021
Risk influencing factors analysis of Arctic maritime transportation systems: a Chinese perspective
S Fu, X Yan, D Zhang, M Zhang
Maritime Policy & Management 45 (4), 439-455, 2018
642018
An interpretable knowledge-based decision support method for ship collision avoidance using AIS data
J Zhang, J Liu, S Hirdaris, M Zhang, W Tian
Reliability Engineering & System Safety, 108919, 2023
632023
A quantitative method for the analysis of ship collision risk using AIS data
Z Liu, B Zhang, M Zhang, H Wang, X Fu
Ocean Engineering 272, 113906, 2023
572023
A deep learning method for the prediction of 6-DoF ship motions in real conditions
M Zhang, G Taimuri, J Zhang, S Hirdaris
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2023
552023
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