Literature Database Entry

khan2022artificial

Junaid Iqbal Khan, Jebran Khan, Furqan Ali, Farman Ullah, Jamshid Bacha and Sungchang Lee, "Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review," IEEE Access, vol. 10, pp. 62613–62660, 2022.

Abstract

The origin of the COVID-19 pandemic has given overture to redirection, as well as innovation to many digital technologies. Even after the progression of vaccination efforts across the globe, total eradication of this pandemic is still a distant future due to the evolution of new variants. To proactively deal with the pandemic, the health care service providers and the caretaker organizations require new technologies, alongside improvements in existing related technologies, Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning in terms of infrastructure, efficiency, privacy, and security. This paper provides an overview of current theoretical and application prospects of IoT, AI, cloud computing, edge computing, deep learning techniques, blockchain technologies, social networks, robots, machines, privacy, and security techniques. In consideration of these prospects in intersection with the COVID-19 pandemic, we reviewed the technologies within the broad umbrella of AI-IoT technologies in the most concise classification scheme. In this review, we illustrated that AI-IoT technological applications and innovations have most impacted the field of healthcare. The essential AI-IoT technologies found for healthcare were fog computing in IoT, deep learning, and blockchain. Furthermore, we highlighted several aspects of these technologies and their future impact with a novel methodology of using techniques from image processing, machine learning, and differential system modeling.

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Junaid Iqbal Khan
Jebran Khan
Furqan Ali
Farman Ullah
Jamshid Bacha
Sungchang Lee

BibTeX reference

@article{khan2022artificial,
    author = {Khan, Junaid Iqbal and Khan, Jebran and Ali, Furqan and Ullah, Farman and Bacha, Jamshid and Lee, Sungchang},
    doi = {10.1109/access.2022.3181605},
    title = {{Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review}},
    pages = {62613--62660},
    journal = {IEEE Access},
    issn = {2169-3536},
    publisher = {IEEE},
    volume = {10},
    year = {2022},
   }
   
   

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Last modified: 2024-04-28