A real-time hourly ozone prediction system using deep convolutional neural network
Crossref DOI link: https://doi.org/10.1007/s00521-019-04282-x
Published Online: 2019-06-08
Published Print: 2020-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Eslami, Ebrahim
Choi, Yunsoo
Lops, Yannic
Sayeed, Alqamah
Text and Data Mining valid from 2019-06-08
Version of Record valid from 2019-06-08
Article History
Received: 15 November 2018
Accepted: 30 May 2019
First Online: 8 June 2019
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.