NO error (µgm-³) forecasting for 2019 using NARX.

<div><p>Air pollution, driven by seasonal and meteorological variations, poses a significant threat to public health and urban sustainability. Despite numerous forecasting approaches, the influence of seasonal patterns on air pollutant levels remains underexplored. This study presents a...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Nadia AL-Rousan (22421431) (author)
مؤلفون آخرون:	Hazem Al-Najjar (22421434) (author), Ismail A. Elhaty (17542554) (author)
منشور في:	2025
الموضوعات:	Biotechnology Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified research contributes significantly predictions performed best nonlinear autoregressive network machine learning framework computational framework utilizing air quality prediction advancing methodological approaches improving predictive accuracy forecasting air pollution governing pollutant behavior seasonal dynamics play influential seasonal factors reducing model complexity public health applications &# 8323 ;) &# 8322 ;, air pollutant patterns turkey </ p public health &# 8323 &# 8322 seasonal patterns predictive performance forecasting models seasonal dependencies evaluating seasonal validation datasets urban sustainability urban planning study presents study determines study delivers significant threat results demonstrate predict concentrations practical tool meteorological variations key pollutants industrialized districts exogenous inputs environmental agencies crucial role climatic influences adaptable model
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NO error (µgm-³) forecasting for 2019 using NARX.

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