A deep reinforcement learning based decision‐making approach for avoiding crowd situation within the case of Covid'19 pandemic-Reference-Cited by-同舟云学术

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A deep reinforcement learning based decision‐making approach for avoiding crowd situation within the case of Covid'19 pandemic

Published:2022-03-12 Issue:2 Volume:38 Page:416-437
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Abdallah Wejden¹^ORCID,Kanzari Dalel²,Sallami Dorsaf²,Madani Kurosh³,Ghedira Khaled⁴

Affiliation:

1. National School of Computer Sciences (ENSI) LARIA Laboratory, University of Manouba Manouba Tunisia

2. Higher Institute of Applied Sciences and Technology University of Sousse Sousse Tunisia

3. LISSI/EA 3956 Laboratory, Senart Institute of Technology Paris‐East University (UPEC) Lieusaint France

4. Central University of Tunis Tunis Tunisia

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12516

Reference31 articles.

1. Influence of population density, temperature, and absolute humidity on spread and decay durations of COVID-19: A comparative study of scenarios in China, England, Germany, and Japan

2. A mathematical model of COVID-19 transmission between frontliners and the general public

3. Estimating the burden of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality in England and Wales: a population-level analysis

4. The relation between length of lockdown, numbers of infected people and deaths of Covid-19, and economic growth of countries: Lessons learned to cope with future pandemics similar to Covid-19 and to constrain the deterioration of economic system

5. A Bimodal Lognormal Distribution Model for the Prediction of COVID-19 Deaths

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1. Advancing Pandemic Preparedness through a Data-Driven Hybrid Simulation Model;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Agent Architecture for Evacuation Pedestrian’s Crowded Public Places: Combination of Individual and Collaborative Reasoning;2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS);2023-11-23

3. The coming Omicron waves and factors affecting its spread after China reopening borders;BMC Medical Informatics and Decision Making;2023-09-15

4. Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics;Network Modeling Analysis in Health Informatics and Bioinformatics;2022-10-11

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