Inproceedings,
Modelling the COVID-19 infection rate through a Physics-Informed learning approach.
M. Rosa, F. Giampaolo, F. Piccialli, and S. Cuomo.PDP, page 212-218. IEEE, (2023)
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- conf/pdp/RosaGPC23
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- inproceedings
- booktitle
- PDP
- year
- 2023
- pages
- 212-218
- publisher
- IEEE
- crossref
- conf/pdp/2023
- ee
- https://doi.org/10.1109/PDP59025.2023.00041
- isbn
- 979-8-3503-3763-1
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- http://dblp.uni-trier.de/db/conf/pdp/pdp2023.html#RosaGPC23
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- please select -%0 Conference Paper
%1 conf/pdp/RosaGPC23
%A Rosa, Mariapia De
%A Giampaolo, Fabio
%A Piccialli, Francesco
%A Cuomo, Salvatore
%B PDP
%D 2023
%E Montella, Raffaele
%E Blas, Javier García
%E D'Agostino, Daniele
%I IEEE
%K dblp
%P 212-218
%T Modelling the COVID-19 infection rate through a Physics-Informed learning approach.
%U http://dblp.uni-trier.de/db/conf/pdp/pdp2023.html#RosaGPC23
%@ 979-8-3503-3763-1
@inproceedings{conf/pdp/RosaGPC23,
added-at = {2023-06-20T00:00:00.000+0200},
author = {Rosa, Mariapia De and Giampaolo, Fabio and Piccialli, Francesco and Cuomo, Salvatore},
biburl = {https://www.bibsonomy.org/bibtex/20e626a781cbcb1589f3e8eca5508545d/dblp},
booktitle = {PDP},
crossref = {conf/pdp/2023},
editor = {Montella, Raffaele and Blas, Javier García and D'Agostino, Daniele},
ee = {https://doi.org/10.1109/PDP59025.2023.00041},
interhash = {25d47d1c20497637ad5af1d359029bf5},
intrahash = {0e626a781cbcb1589f3e8eca5508545d},
isbn = {979-8-3503-3763-1},
keywords = {dblp},
pages = {212-218},
publisher = {IEEE},
timestamp = {2024-04-09T10:32:39.000+0200},
title = {Modelling the COVID-19 infection rate through a Physics-Informed learning approach.},
url = {http://dblp.uni-trier.de/db/conf/pdp/pdp2023.html#RosaGPC23},
year = 2023
}