Pandemic Management Using Artificial Intelligence-Based Safety Measures

Author:

Nain Megha1,Sharma Shilpa1ORCID,Chaurasia Sandeep1

Affiliation:

1. Manipal University Jaipur, India

Abstract

The pandemic corona virus disease (COVID-19) caused by the virus ‘SARS-CoV-2' continues affecting the health and affluence of the worldwide population. The role of artificial intelligence in improving safety and health conditions has been studied in the chapter. The various fields of artificial intelligence such as machine learning, computer vision, deep learning, and natural language processing are contributing to almost every field ranging from healthcare, agriculture, automotive, astronomy, and many others. For overcoming a global outbreak such as COVID-19, conventional approaches are not feasible enough, and therefore the requirement for the more robust and automated techniques for making predictions in advance is essential. The vision of this chapter is to assess and survey the impact of artificial intelligence-based approaches in the management of pandemics and recommend procedures for the enhancement of the currently used techniques along with the imminent research areas in artificial intelligence for controlling pandemics.

Publisher

IGI Global

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning-Based Safety Assurance of Construction Workers: Real-Time Safety Kit Detection;Innovations in Computational Intelligence and Computer Vision;2023

2. Authentication control system for the efficient detection of hard-hats using deep learning algorithms;Journal of Discrete Mathematical Sciences and Cryptography;2021-11-17

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