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1 Ergebnisse
1
Airborne Particulate Matter Modeling: A Comparison of Three..:
Julio Alberto Ramírez-Montañez
;
Marco Antonio Aceves-Fernández
;
Jesús Carlos Pedraza-Ortega
..
https://www.mdpi.com/2076-3417/12/1/256. , 2021
Link:
https://doi.org/10.3390/app12010256
RT Journal T1
Airborne Particulate Matter Modeling: A Comparison of Three Methods Using a Topology Performance Approach
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:df73275b28fa407dbd6ae375a6704a1e&Exemplar=1&LAN=DE A1 Julio Alberto Ramírez-Montañez A1 Marco Antonio Aceves-Fernández A1 Jesús Carlos Pedraza-Ortega A1 Efrén Gorrostieta-Hurtado A1 Artemio Sotomayor-Olmedo PB MDPI AG YR 2021 K1 recurrent neural network K1 long short-term memory (LSTM) K1 gate recurrent unit (GRU) K1 Elman neural network K1 particle matter K1 air pollution K1 Technology K1 T K1 Engineering (General). Civil engineering (General) K1 TA1-2040 K1 Biology (General) K1 QH301-705.5 K1 Physics K1 QC1-999 K1 Chemistry K1 QD1-999 JF https://www.mdpi.com/2076-3417/12/1/256 LK http://dx.doi.org/https://doi.org/10.3390/app12010256 DO https://doi.org/10.3390/app12010256 SF ELIB - SuUB Bremen
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