Zobrazeno 1 - 5
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pro vyhledávání: '"Ratnabali Pal"'
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6448 (2020)
The recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new challenges to the research community. Artificial intelligence (AI) driven methods can be useful to predict the parameters, risks, and effects of such an epidemic. Suc
Externí odkaz:
https://doaj.org/article/4e727b29239c4c68be71ff3922c52c1e
Publikováno v:
SN Computer Science. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af974146a9ea152a268eabba6055f486
https://doi.org/10.1007/s42979-023-01671-x
https://doi.org/10.1007/s42979-023-01671-x
Publikováno v:
Proceedings of International Conference on Data Science and Applications ISBN: 9789811966309
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd98bc66ffa7c910dc4a56dac4b8c895
https://doi.org/10.1007/978-981-19-6631-6_53
https://doi.org/10.1007/978-981-19-6631-6_53
Autor:
Dilip K. Prasad, Ratnabali Pal, Arif Ahmed Sekh, Samarjit Kar, Debi Prosad Dogra, Partha Pratim Roy
© Author | ACM 2021. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Computing Surveys, https://doi.org/10.1145/3459089. Manual processi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43fbcbc5d3b63ce7f615ed993e1ffded
https://hdl.handle.net/10037/24520
https://hdl.handle.net/10037/24520
Publikováno v:
Applied Sciences
Volume 10
Issue 18
Applied Sciences, Vol 10, Iss 6448, p 6448 (2020)
Volume 10
Issue 18
Applied Sciences, Vol 10, Iss 6448, p 6448 (2020)
The recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new challenges to the research community. Artificial intelligence (AI) driven methods can be useful to predict the parameters, risks, and effects of such an epidemic. Suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38a3fed3ce4db95f6809c25330374b5e
https://doi.org/10.3390/app10186448
https://doi.org/10.3390/app10186448