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Tao Zhang

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Open access Sep 2026

A Knowledge Graph-Driven Framework for Complex Vessel Behavior Recognition and Frequent Sequential Pattern Mining Using AIS Data

Understanding complex vessel behaviors in port waters is important for maritime traffic supervision, navigation safety management, and intelligent maritime decision-making. However, existing AIS-based studies often focus on isolated behavior recognition or trajectory-level analysis, with limited integration of vessel a...

Yong-Feng Suo, Ye-Ting Lin, Lei Cui et al. · 0 citations
Open access Jul 2026

A BASM-Integrated LLM Reasoning Method for Multidimensional Vessel Anomaly Attribution and Decision Support

A multidimensional anomalous vessel behavior attribution and decision-support framework based on large language models (LLMs) that not only reveals the causal mechanisms underlying anomalous behaviors more accurately but also improves logical consistency and regulatory compliance, confirming its practical utility and d...

Yong-Feng Suo, Fangfang Luo, Tao Zhang · 0 citations
Review Open access Aug 2026

A Review of Ship Path Planning for Autonomous Navigation: From Model-Driven Methods to Deep Reinforcement Learning

It is argued that progress will depend less on further algorithmic proliferation than on integrated, verifiable architectures that combine data-driven adaptation with model-based structure, standardized evaluation, and staged real-world assurance.

Weijun Wang, Ming-Jie Li, Bushuo Wang et al. · 0 citations

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