Capability of a Recurrent Deep Neural Network Optimized by Swarm Intelligence Techniques to Predict Exceedances of Airborne Pollution (PMx) in Largely Populated Areas.
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%0 Conference Paper
%1 conf/cit/Kuri-MongeAMO21
%A Kuri-Monge, Gerardo Javier
%A Aceves-Fernández, Marco Antonio
%A Montañez, Julio Alberto Ramírez
%A Ortega, Jesús Carlos Pedraza
%B ICIT
%D 2021
%I IEEE
%K dblp
%P 61-68
%T Capability of a Recurrent Deep Neural Network Optimized by Swarm Intelligence Techniques to Predict Exceedances of Airborne Pollution (PMx) in Largely Populated Areas.
%U http://dblp.uni-trier.de/db/conf/cit/cit2021.html#Kuri-MongeAMO21
%@ 978-1-6654-2870-5
@inproceedings{conf/cit/Kuri-MongeAMO21,
added-at = {2023-06-26T00:00:00.000+0200},
author = {Kuri-Monge, Gerardo Javier and Aceves-Fernández, Marco Antonio and Montañez, Julio Alberto Ramírez and Ortega, Jesús Carlos Pedraza},
biburl = {https://www.bibsonomy.org/bibtex/2fd0d8e2b4bbd9275668287dc10219fa7/dblp},
booktitle = {ICIT},
crossref = {conf/cit/2021},
ee = {https://doi.org/10.1109/ICIT52682.2021.9491649},
interhash = {07c579389f9c9be464bc9fd5e3c224ac},
intrahash = {fd0d8e2b4bbd9275668287dc10219fa7},
isbn = {978-1-6654-2870-5},
keywords = {dblp},
pages = {61-68},
publisher = {IEEE},
timestamp = {2024-04-09T12:42:22.000+0200},
title = {Capability of a Recurrent Deep Neural Network Optimized by Swarm Intelligence Techniques to Predict Exceedances of Airborne Pollution (PMx) in Largely Populated Areas.},
url = {http://dblp.uni-trier.de/db/conf/cit/cit2021.html#Kuri-MongeAMO21},
year = 2021
}
