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Updated: Jul 17, 2025

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
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使用ML算法预测马来西亚沿海沿线选定的地点的海平面

Nur Alyaa Hazrin1, Kai Lun Chong2, Yuk Feng Huang1

  • 1Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Sg. Long, Bandar Sg. Long, 43000, Kajang, Selangor, Malaysia.

Heliyon
|September 4, 2023
PubMed
概括

机器学习 (ML) 模型使用历史数据准确预测每日海平面. 海平面数据的7天延迟显著改善了所有测试模型和位置的预测准确性.

关键词:
沿海地区的沿海地区.机器学习是机器学习.预测海平面上升的预测

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