A Novel One-Dimensional CNN with Exponential Adaptive Gradients for Air Pollution Index Prediction

Air pollution is one of the world’s most significant challenges. Predicting air pollution is critical for air quality research, as it affects public health. The Air Pollution Index (API) is a convenient tool to describe air quality. Air pollution predictions can provide accurate information on the f...

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Veröffentlicht in:	Sustainability 2020-12, Vol.12 (23), p.10090
Hauptverfasser:	Ragab, Mohammed G., Abdulkadir, Said J., Aziz, Norshakirah, Al-Tashi, Qasem, Alyousifi, Yousif, Alhussian, Hitham, Alqushaibi, Alawi
Format:	Artikel
Sprache:	eng
Schlagworte:	Air pollution Air pollution control Air pollution effects Air quality Algorithms Correlation coefficient Correlation coefficients Datasets Deep learning Environmental health Machine learning Model accuracy Neural networks Nitrogen dioxide Optimization Outdoor air quality Pollutants Pollution effects Pollution index Predictions Public health Root-mean-square errors Sustainability Time series
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