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Updated: Jan 8, 2026

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多数据融合和机器学习用于预测港口的压载水排放情况

Jihong Chen1, Xizhi Chen2, Jia Shi3

  • 1College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China; College of Management, Shenzhen University, Shenzhen, 518071, China; Shenzhen International Maritime Institute, Shenzhen, 518083, China; The Institute for Sustainable Development, Macau University of Science and Technology, 999078, Macao.

Marine pollution bulletin
|December 12, 2025
PubMed
概括

准确的压载水排放预测对于管理入侵物种传播至关重要. 这项研究开发了一个机器学习模型,使用船舶数据和港口信息来预测排放量,帮助环境治理.

关键词:
亚洲信息系统数据 AIS 数据压载水排放的压载水排放.贝叶斯的优化是贝叶斯的优化.机器学习 机器学习多源数据融合 多源数据融合

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