Artificial intelligence for analysis of the COVID19 pandemic

Jokar Arsanjani, Jamal (PI (principal investigator))

Akronym	AI4Covid
Status	Afsluttet
Effektiv start/slut dato	01/06/2020 → 01/02/2021

2 Tidsskriftartikel

Modeling the impact of the COVID-19 lockdowns on urban surface ecological status: A case study of Milan and Wuhan cities
Firozjaei, M. K., Fathololomi, S., Kiavarz, M., Arsanjani, J. J., Homaee, M. & Alavipanah, S. K., 2021, I: Journal of Environmental Management. 286, 112236.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Åben adgang
30 Citationer (Scopus)
The geography of the covid-19 pandemic: A data-driven approach to exploring geographical driving forces
Hass, F. S. & Arsanjani, J. J., 2 mar. 2021, I: International Journal of Environmental Research and Public Health. 18, 6, s. 1-19 19 s., 2803.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Åben adgang
Fil
13 Citationer (Scopus)

28 Downloads (Pure)