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Author

Z. Ebrahimi-Khusfi

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Jul 2026

A feature-centric machine learning framework for forecasting urban air pollution in arid regions

Permutation Feature Importance method was finally utilized to determine the importance of factors affecting daily changes in AQIPM2.5 and AQIPM10.5 and it revealed that maximum wind speed, horizontal visibility, and wind direction were the key factors controlling AQIPM10.5 variations.

Z. Ebrahimi-Khusfi, N. Okati · 0 citations

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