Use of Regressive Artificial Intelligence and Machine Learning Methods in Modelling of COVID-19 Spread (COVIDAi): Project Review (CROSBI ID 704073)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Blagojević, Anđela ; Šušteršič, Tijana ; Lorencin, Ivan ; Filipović, Nenad
engleski
Use of Regressive Artificial Intelligence and Machine Learning Methods in Modelling of COVID-19 Spread (COVIDAi): Project Review
In this paper, a review of the project Use of Regressive Artificial Intelligence and Machine Learning Methods in Modelling of COVID-19 Spread (COVIDAi) is presented. The main goal of the project is to design two main AI-based models: epidemiological and personalized. After the introduction, a brief description of project partners and activities is provided. Furthermore, a brief description of the two main project activities is provided. After the description of the aforementioned project activities, a review of scientific papers published during project execution is presented.
artificial intelligence ; COVID-19 ; epidemiological models ; machine learning ; personalized models
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Podaci o prilogu
1-5.
2021.
objavljeno
Podaci o matičnoj publikaciji
International Scientific Student Conference RI-STEM-2021 - proceedings
Lorencin, Ivan ; Baressi Šegota, Sandi ; Car, Zlatan
Studentski zbor Sveučilišta u Rijeci ; Tehnički fakultet, Sveučilište u Rijeci ; Riteh AI and Robotics Group
978-953-8246-22-7
Podaci o skupu
International Student Scientific Conference (Ri-STEM 2021)
predavanje
10.06.2021-10.06.2021
Rijeka, Hrvatska
Povezanost rada
Elektrotehnika, Kliničke medicinske znanosti, Računarstvo, Temeljne tehničke znanosti