Scholarlink

Autonomous ships signify a new generation of marine transport, engineered to function independently of a human crew stationed onboard [1]. Featuring advanced systems for navigation and control, they possess the autonomous capabilities for environmental sensing, route formulation, and operational execution [1]. Implementing autonomous vessels within the maritime sector presents numerous prospective benefits, notably including lowered risks pertaining to accidents and environmental spills, decreased levels of emissions and fuel consumption, optimized cargo capacity, and enhanced flexibility in vessel deployment and management [2, 3]. An additional potential outcome is the improvement of welfare standards and working environments for seagoing personnel.

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

Semi-supervised Transfer Learning for Cross-Vessel 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

Autonomous ships signify a new generation of marine transport, engineered to function independently of a human crew stationed onboard [1]. Featuring advanced systems for navigation and control, they possess the autonomous capabilities for environmental sensing, route formulation, and operational execution [1]. Implementing autonomous vessels within the maritime sector presents numerous prospective benefits, notably including lowered risks pertaining to accidents and environmental spills, decreased levels of emissions and fuel consumption, optimized cargo capacity, and enhanced flexibility in vessel deployment and management [2, 3]. An additional potential outcome is the improvement of welfare standards and working environments for seagoing personnel.