Forecasting COVID‐19 cases using dynamic time warping and incremental machine learning methods

Overview of attention for article published in Expert Systems, January 2023

Altmetric Badge

About this Attention Score

Among the highest-scoring outputs from this source (#36 of 194)
Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter: 4 X users

Citations

dimensions_citation: 5 Dimensions

Readers on

mendeley: 9 Mendeley

Summary X Dimensions citations

So far, Dimensions has found 5 publications that cite this research output.

5

The most recent citing publications are shown below. View all 5 publications that cite this research output on Dimensions.

Low Energy Data Aggregation Using Dynamic Time Warping Algorithm

Conference proceeding (March 2024)

The role of viral interference in shaping RSV epidemics following the 2009 H1N1 influenza pandemic

Preprint in medRxiv (February 2024)

A novel bidirectional LSTM deep learning approach for COVID-19 forecasting

Article in Scientific Reports (October 2023)

This page shows the most recent citations of this research output.

Click here to find out how to access more activity.