Early warning threshold analysis of maritime accidents based on image segmentation technology
| Year of publication: |
2024
|
|---|---|
| Authors: | Ji, Yuan ; Jing, Lu ; Jiang, Meizhi ; Su, Wan |
| Published in: |
International journal of shipping and transport logistics : IJSTL. - Genéve [u.a.] : Inderscience Enterprises, ISSN 1756-6525, ZDB-ID 2541397-1. - Vol. 19.2024, 2/3, p. 278-296
|
| Subject: | Bayesian network | early warning threshold | maritime accidents | threshold selection model | Frühwarnsystem | Early warning system | Bayes-Statistik | Bayesian inference | Schifffahrt | Shipping | Schätzung | Estimation | Verkehrsunfall | Traffic accident | Prognoseverfahren | Forecasting model |
-
Maritime accident risk estimation for sea lanes based on a dynamic Bayesian network
Jiang, Meizhi, (2020)
-
Risk analysis of oil tanker accidents in Southeast Asia by using data driven Bayesian network
Gong, Xiaoxing, (2025)
-
Bayesian network to predict environmental risk of a possible ship accident
Nivolianitou, Zoe S., (2016)
- More ...
-
Safety evaluation of the ports along the Maritime Silk Road
Jiang, Meizhi, (2022)
-
Jiang, Meizhi, (2022)
-
Jiang, Meizhi, (2020)
- More ...