Assessing a fossil fuels externality with a new neural networks and image optimisation algorithm: the case of atmospheric pollutants as confounders to COVID-19 lethality
| Main Authors: | COSIMO MAGAZZINO, Marco Mele, Nicolas Schneider |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://www.cambridge.org/core/journals/epidemiology-and-infection/article/assessing-a-fossil-fuels-externality-with-a-new-neural-networks-and-image-optimization-algorithm-the-case-of-atmospheric-pollutants-as-cofounders-to-covid19-lethality/DBAFA5CB83CF23BA231C27571206A9C8# |
Internet
https://www.cambridge.org/core/journals/epidemiology-and-infection/article/assessing-a-fossil-fuels-externality-with-a-new-neural-networks-and-image-optimization-algorithm-the-case-of-atmospheric-pollutants-as-cofounders-to-covid19-lethality/DBAFA5CB83CF23BA231C27571206A9C8#Lokasi
| Koleksi | Cognizance Journal of Multidisciplinary Studies |
|---|---|
| Gedung | Cognizance Journal of Multidisciplinary Studies |
| Institusi | ZAIN Publications |
| Kota | Stockholm |
| Provinsi | INTERNASIONAL |
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