Maritime accident prevention requires timely, interpretable risk assessment that can support operational decision-making in Vessel Traffic Service (VTS) environments. We propose an integrated framework that combines Large Language Models (LLMs) with machine-learning-based risk inference to unify accident risk probabili...
Taek-Hyun Park, Sangmin Jo, Seongmoon Hong et al.· 2026 IEEE 22nd International...· 0 citations
Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data spar...
Hanbyeol Park, Sunghyun Sim, K. Park et al.· Journal of Forecasting· 0 citations
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