- A Network Model for Identifying Key Causal Factors of Ship Collision🔍
- Ship collision causation network model.🔍
- A Network Model for Identifying Key Causal Factors of Ship Collision ...🔍
- Evolutionary model and risk analysis of ship collision accidents ...🔍
- Constructing and analyzing the causation chain network for ship ...🔍
- Bayesian Network Model and Causal Analysis of Ship Collisions in ...🔍
- Analyzing risk influencing factors of ship collision accidents🔍
- Causal Analysis of Ship Accidents in China Coastal Waters Based ...🔍
A Network Model for Identifying Key Causal Factors of Ship Collision
A Network Model for Identifying Key Causal Factors of Ship Collision
In the analysis of the causes of ship collisions, the identification of key causal factors can help maritime authorities to provide targeted safety ...
A Network Model for Identifying Key Causal Factors of Ship Collision
In order to identify the key causal factors leading to ship collisions, we first construct a network model of ship collisions, in which the ...
Ship collision causation network model. | Download Scientific Diagram
Download scientific diagram | Ship collision causation network model. from publication: A Network Model for Identifying Key Causal Factors of Ship Collision ...
A Network Model for Identifying Key Causal Factors of Ship Collision ...
Resumen. In the analysis of the causes of ship collisions, the identification of key causal factors can help maritime authorities to provide targeted safety ...
Evolutionary model and risk analysis of ship collision accidents ...
Thirdly, a robustness analysis was used to identify 10 key RIFs involved in ship collisions from a global network perspective, and the grey ...
Constructing and analyzing the causation chain network for ship ...
A Network Model for Identifying Key Causal Factors of Ship Collision ... 2023. In the analysis of the causes of ship collisions, the identification of key ...
Constructing and analyzing the causation chain network for ship ...
To address this problem, an accident-cause network and a cause-inducing chain network are constructed in this paper by extracting 98 causes from 300 ship ...
Bayesian Network Model and Causal Analysis of Ship Collisions in ...
Results show that the BN model can be used to analyze the causes of ship collisions in Zhejiang coastal waters and to predict the probability of ...
Analyzing risk influencing factors of ship collision accidents
A data-driven BN model integrating physical knowledge was developed to assess maritime collision accident risks.
Causal Analysis of Ship Accidents in China Coastal Waters Based ...
While using complex network theory, the analysis was illustrated to clarify the characteristic of the developed network and the accident risk under different ...
A Bayesian Network for Classifying and Predicting Ship Collision
The modeling will be conducted using the Bayesian network method. The Bayesian network model is based on the factors that cause ship collisions, relying on ...
A MMEM-BN–Based Analyzing Framework for Causal Analysis of ...
The main IFs of ship collision accidents were analyzed using the man–machine–environment–management (MMEM) framework, which was used as the ...
Identification of risk key factors and prevention strategies for collision ...
List of references · Feng, Analysis of influencing factors of ship collision accidents based on association rule mining and complex network theory, J. · Hu, A ...
Cause analysis of ship collision accident based on Bayesian network
By analyzing the ship collision accident reports, this paper summarizing the main human factors of ship collision, and through analyzing the causal chain of ...
An effective method for identifying the key factors of railway ...
Based on the complex network model, this paper proposes a heterogeneous network model which is suitable for the classification of accident causal factors to ...
A machine learning-based data-driven method for risk analysis of ...
In view of the frequent occurrence of marine accidents and the complex interaction of various risk-influencing factors (RIFs), a data-driven method to risk ...
Moreover, a Bayesian Network model for ship-ship collision is ... The network for predicting the causation factor for ship-ship collisions is rooted in the.
Identifying the Causes of Ship Collisions Accident Using Text Mining ...
Taking the four steps involved in the collision process as the primary focus, a Bayesian network structure for ship collision risk is ...
A Novel Framework for Identifying Major Fishing Vessel Accidents ...
Employing a Bayesian network model, we further explore the most influential factors contributing to these major accidents. The key innovation lies in our novel ...
Path Analysis of Causal Factors Influencing Marine Traffic Accident ...
... accident network determine the main performance of the accident network. The occurrence of complex system safety incidents is not caused by a single risk ...