Scholarlink

Autonomous ships, empowered by sophisticated artificial intelligence (AI), multisensor fusion, and advanced control technologies, are transforming modern maritime operations by enhancing efficiency, safety, and sustainability. Their deployment spans domains such as commercial navigation, environmental surveillance, and naval defense. Reliable and precise sea condition estimation is fundamental to their decision-making architecture, underscoring the indispensable value of real-time sea state information.

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Frequency-Guided Prototype Learning for Imbalanced SSE

  • 章节

  • 发表日期：

    2026年

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  • Xu Cheng,
  • Mengna Liu,
  • Fan Shi,
  • Xiufeng Liu,
  • Houxiang Zhang,
  • Shengyong Chen

摘要

Autonomous ships, empowered by sophisticated artificial intelligence (AI), multisensor fusion, and advanced control technologies, are transforming modern maritime operations by enhancing efficiency, safety, and sustainability. Their deployment spans domains such as commercial navigation, environmental surveillance, and naval defense. Reliable and precise sea condition estimation is fundamental to their decision-making architecture, underscoring the indispensable value of real-time sea state information.