Open AccessAttention-Based and Time Series Models for Short-Term Forecasting of COVID-19 Spread
Author(s) -
Jurgita Markevičiūtė,
Jolita Bernatavičienė,
Rūta Levulienė,
Viktor Medvedev,
Povilas Treigys,
Julius Venskus
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.018735
Subject(s) - autoregressive integrated moving average , pandemic , term (time) , covid-19 , time series , econometrics , computer science , public health , operations research , actuarial science , economics , infectious disease (medical specialty) , machine learning , disease , engineering , medicine , physics , nursing , pathology , quantum mechanics
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