HAL (France)
open access
Symbolic Artificial Intelligence for Ground-Level Ozone Prediction Through Association Rule Mining
Accurate air quality prediction is essential for environmental monitoring and public health protection. Among atmospheric pollutants, ground-level ozone remains particularly difficult to predict because of the complex and nonlinear interactions governing its formation. Although recent advances have
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