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Seyed Parsa Parvasi

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Open access Jul 2026

Machine learning-based maritime collision risk assessment and avoidance for autonomous vessels using AIS data

A machine learning-based framework is proposed, in which an Extreme Gradient Boosting (XGBoost) model replaces the theoretical D-S model for Collision Risk Indicator (CRI) estimation, which indicates that the proposed method supports efficient and scalable real-time collision risk management for autonomous maritime nav...

Linna Li, Ling-Yu Zhang, Seyed Parsa Parvasi et al. · 0 citations

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