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通过混合深度学习框架使用降水和温度时间序列检测气候变化信号

Muhammad Waqas1,2, Usa Humphries Wannasingha1, Angkool Wangwongchai3

  • 1Department of Mathematics, Faculty of Science, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, 10140, Thailand.

Environmental monitoring and assessment
|October 20, 2025
PubMed
概括

这项研究揭示了泰国显著的变暖趋势,沿海和城市地区的温度上升最快. 未来的预测表明持续的变暖和可变的降水,突显了当地气候适应战略的必要性.

关键词:
气候变化检测 气候变化检测深度学习是一种深度学习.降水变化的可能性.温度趋势的发展趋势泰国 泰国 泰国 泰国

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