Decomposition and Correlation Analysis of Daily Time Series Data for New COVID-19 Cases in the Kansai Region of Japan

Kyo, Koki; Noda, Hideo

doi:10.1109/aiot63253.2024.00035

2024 IEEE Annual Congress on Artificial Intelligence of Things (AIoT) 2024

DOI: 10.1109/aiot63253.2024.00035

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Decomposition and Correlation Analysis of Daily Time Series Data for New COVID-19 Cases in the Kansai Region of Japan

Koki Kyo,

Hideo Noda

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Cited by 1 publication

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An integrated approach for decomposing time series data into trend, cycle and seasonal components

Kyo,

Noda,

Fang

2024

Mathematical and Computer Modelling of Dynamical Systems

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An integrated approach for decomposing time series data into trend, cycle and seasonal components

Kyo,

Noda,

Fang

2024

Mathematical and Computer Modelling of Dynamical Systems

View full text Add to dashboard Cite

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Decomposition and Correlation Analysis of Daily Time Series Data for New COVID-19 Cases in the Kansai Region of Japan

Cited by 1 publication

References 7 publications

An integrated approach for decomposing time series data into trend, cycle and seasonal components

An integrated approach for decomposing time series data into trend, cycle and seasonal components

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