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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

Blagojević, Anđela ; Šušteršič, Tijana ; Lorencin, Ivan ; Filipović, Nenad Use of Regressive Artificial Intelligence and Machine Learning Methods in Modelling of COVID-19 Spread (COVIDAi): Project Review // International Scientific Student Conference RI-STEM-2021 - proceedings / Lorencin, Ivan ; Baressi Šegota, Sandi ; Car, Zlatan (ur.). Studentski zbor Sveučilišta u Rijeci ; Tehnički fakultet, Sveučilište u Rijeci ; Riteh AI and Robotics Group, 2021. str. 1-5

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