Analysis of Cargo-Related Fires on Container Vessels Using an HFACS-Based Association Rule Mining Approach

Open access Jul 2026

Statistical parameter estimation and probabilistic forecasting of cargo turnover at seaports grouped by sea basin using predictive models

The article presents the results of an analysis of cargo turnover in five sea basins of the Russian Federation for 2021–2024. The analysis of port and sea basin operations, carried out on the basis of available statistical data, makes it possible to identify trends in their future development, which depend on both coas...

I. Zub, S. A. Fomichev, V. A. Fomichev · Vestnik Gosudarstvennogo uni... · 0 citations

Review Aug 2026

An integrated machine-learning approach for classifying severe incident risk in maritime construction using weather and operational data

This study develops a data-driven severity-classification approach for maritime construction, relating equipment activity from incident narratives to localized hydro-meteorological conditions to complement static safety systems to complement static safety systems.

A. Mohy · Smart and Sustainable Built... · 0 citations

Review Open access Aug 2026

Practitioner-Informed AI Decision Support for Maritime Accident-Type Risk in Korean Waters

In maritime accident prevention, it is important to identify not only high-risk sea areas but also which accident-types are most likely to occur there. This study combines survey responses from 826 Korea Coast Guard practitioners with 3856 maritime accidents mapped onto an H3 grid over Korean territorial waters during...

Dayoung Kim, Won Choi, Seung Sim et al. · Journal of Marine Science an... · 0 citations

2026

On the Results of the Risk Assessment Study for Personnel of a Jacket-type Offshore Stationary Platform

The study is dedicated to professional risk assessment for personnel of Jacket-type offshore stationary platforms. The study provides an analysis and classification of typical accident scenarios specific to such facilities and includes a forecast assessment of the consequences for 140 employees. Six groups of scenarios...

I. Starokon · Occupational Safety in Indus... · 0 citations

Open access Aug 2026

Traffic Accident Severity Prediction Based on Multi-Model Comparison

Results show that the tree-based ensemble models Random Forest and XGBoost outperform Logistic Regression and MLP in terms of overall predictive performance, with XGBoost exhibiting better overall performance.

Zi-Yu Cao · Frontiers in Computing and I... · 0 citations

Open access Jul 2026

AI Enabled Risk Management in International Logistics Networks

International logistics networks are increasingly exposed to operational, financial, geopolitical, customs, cyber, and environmental risks. Effective risk management is therefore essential for reducing shipment delays, controlling logistics costs, and improving supply chain reliability. This study aims to examine how a...

Purnima Tripura · Journal of Information Techn... · 0 citations