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This repo is the code used in this review paper: Khan, JunaidIqbal, et al. "Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review." IEEE Access (2022)

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superdianuj/Covid_review

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Covid_review

This repository contains files used in the following paper:

Khan, JunaidIqbal, et al. "Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review." IEEE Access (2022). https://ieeexplore.ieee.org/document/9792274

Basically, it has three novel methodologies to produce insights in the review:

  1. Use a bridge between graph theory and image processing to extract interpretable features (this features were originally destined to be represented by decision trees, but later removed due to increased complexity of interpretation)
  2. Use compartment modelling to predict the trends of specific literature in future.
  3. Use word2vec to plot the status of technologies in 3D.

Furthermore, Google News Vectors can be downloaded from: https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit?resourcekey=0-wjGZdNAUop6WykTtMip30g

In case of query, you can contact the first author at: dianujkotov15@gmail.com

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This repo is the code used in this review paper: Khan, JunaidIqbal, et al. "Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review." IEEE Access (2022)

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