Scholarlink

The pursuit of ship intelligence aims to strengthen efficiency, innovation, and adaptability across the maritime and offshore sectors, ensuring their readiness for future operational demands. As a cornerstone of the digital transformation framework, ship intelligence constitutes a key element within Europe’s strategic vision for sustainable growth [1]. In recent years, research and industrial efforts have increasingly focused on the conception and deployment of autonomous vessels, which employ advanced intelligent technologies to enhance decision-making accuracy, optimize control performance, lower fuel expenditure, and broaden operational scope [2]. Nevertheless, compared with autonomous ground vehicles, unmanned ships operate in far more intricate and unpredictable environments. The fluctuating interactions of wind and wave dynamics pose the greatest source of uncertainty. Hence, developing a real-time and resilient mechanism for precise SSE has become essential to ensure reliable situational awareness and informed decision-making on board.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Dual-Attention CNN Architectures for Multi-parameter SSE

  • 章节

  • 发表日期：

    2026年

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

摘要

The pursuit of ship intelligence aims to strengthen efficiency, innovation, and adaptability across the maritime and offshore sectors, ensuring their readiness for future operational demands. As a cornerstone of the digital transformation framework, ship intelligence constitutes a key element within Europe’s strategic vision for sustainable growth [1]. In recent years, research and industrial efforts have increasingly focused on the conception and deployment of autonomous vessels, which employ advanced intelligent technologies to enhance decision-making accuracy, optimize control performance, lower fuel expenditure, and broaden operational scope [2]. Nevertheless, compared with autonomous ground vehicles, unmanned ships operate in far more intricate and unpredictable environments. The fluctuating interactions of wind and wave dynamics pose the greatest source of uncertainty. Hence, developing a real-time and resilient mechanism for precise SSE has become essential to ensure reliable situational awareness and informed decision-making on board.