Jie Xue

Delft University of Technology

Netherlands

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Articles (17)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (1)

Pieter van Gelder

Professor of Safety Science

TU Delft

NETHERLANDS

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Jie Xue

Research Interests

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Articles (17)

Machine Learning in Maritime Safety for Autonomous Shipping: A Bibliometric Review and Future Trends

Cause analysis and management strategies for ship accidents: A Bayesian decision support model

A fuzzy decision-making network model for offshore wind turbine selection based on simulated annealing algorithm

A hybrid SgDT framework for risk analysis of container-handling operations at automated container terminals

Formation Control of a Multi-Unmanned Surface Vessel System: A Bibliometric Analysis

Evaluation of Ergonomic Risks for Construction Workers Based on Multicriteria Decision Framework with the Integration of Spherical Fuzzy Set and Alternative Queuing Method

A Bibliometric Analysis and Overall Review of the New Technology and Development of Unmanned Surface Vessels

A Bibliometric and Visualized Overview for the Evolution of Process Safety and Environmental Protection

Maritime Broadband Communication: Wireless Channel Measurement and Characteristic Analysis for Offshore Waters

Maritime Broadband Communication: Wireless Channel Measurement and Characteristic Analysis for Offshore Waters

A Bibliometric and Visualized Overview for the Evolution of Process Safety and Environmental Protection

A comprehensive statistical investigation framework for characteristics and causes analysis of ship accidents: A case study in the fluctuating backwater area of Three Gorges Reservoir region

A novel fuzzy Bayesian network-based MADM model for offshore wind turbine selection in busy waterways: An application to a case in China

Towards a probabilistic model for estimation of grounding accidents in fluctuating backwater zone of the Three Gorges Reservoir

A Novel Method about the Representation and Discrimination of Traffic State

A Novel Method about the Representation and Discrimination of Traffic State

A Method of Personalized Driving Decision for Smart Car Based on Deep Reinforcement Learning

Collaborators (1)

Pieter van Gelder

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