,使

Shrikar Jayaraman1, Nathezhtha T2, Abirami S1

  • 1Vellore Institute of Technology Chennai, Chennai, India.

Scientific reports
|February 3, 2025
PubMed
概括

本研究介绍了一个基于时间和空间 (TBS) 的框架,用于准确预测空气质量指数 (AQI). 通过整合卷积神经网络 (CNN) 和自动回归集成移动平均线 (ARIMA) 模型,它增强了环境管理和公共卫生战略.

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