A real-time hourly ozone prediction system using deep convolutional neural network

Ebrahim Eslami; Yunsoo Choi; Yannic Lops; Alqamah Sayeed

doi:10.1007/s00521-019-04282-x

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A real-time hourly ozone prediction system using deep convolutional neural network

Ebrahim Eslami Yunsoo Choi Yannic Lops Alqamah Sayeed

Year: 2019 Journal: Neural Computing and Applications Vol: 32 (13)Pages: 8783-8797 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-019-04282-x

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Keywords:

Environmental science Unavailability Meteorology Ozone Convolutional neural network Daytime Correlation coefficient Artificial neural network Deep learning Air quality index Atmospheric sciences Climatology Computer science Artificial intelligence Statistics Machine learning Mathematics Geology Geography

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Topics

Air Quality Monitoring and Forecasting

Physical Sciences → Environmental Science → Environmental Engineering

Air Quality and Health Impacts

Physical Sciences → Environmental Science → Health, Toxicology and Mutagenesis

Atmospheric chemistry and aerosols

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

A real-time hourly ozone prediction system using deep convolutional neural network

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Citation History

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