A novel online multi-task learning for COVID-19 multi-output spatio-temporal prediction

In light of the ongoing COVID-19 pandemic, predicting its trend would significantly impact decision-making. However, this is not a straightforward task due to three main difficulties: temporal autocorrelation, spatial dependency, and concept drift caused by virus mutations and lockdown policies. Alt...

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Bibliographic Details
Main Authors: Zipeng Wu, Chu Kiong Loo, Unaizah Obaidellah, Kitsuchart Pasupa
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023059790