An intelligent framework using disruptive technologies for COVID-19 analysis

Abdel‐Basset, Mohamed; Chang, Victor; Nabeeh, Nada A.

doi:10.1016/j.techfore.2020.120431

Cited by 202 publications

(109 citation statements)

References 39 publications

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“…Robots are widely suggested to be deployed in different scenarios during the pandemic, to help reduce the infection by performing disinfection, monitoring, delivering, food preparation, and telepresence [ [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] ]. Robots are also recommended to make intelligent decisions based on the inputs data from the population, which can be analysed through AI [ 17 ].…”

Section: Robots In Covid-19mentioning

confidence: 99%

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A literature survey of the robotic technologies during the COVID-19 pandemic

Wang

2021

Journal of Manufacturing Systems

195

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Since the late 2019, the COVID-19 pandemic has been spread all around the world. The pandemic is a critical challenge to the health and safety of the general public, the medical staff and the medical systems worldwide. It has been globally proposed to utilise robots during the pandemic, to improve the treatment of patients and leverage the load of the medical system. However, there is still a lack of detailed and systematic review of the robotic research for the pandemic, from the technologies’ perspective. Thus a thorough literature survey is conducted in this research and more than 280 publications have been reviewed, with the focus on robotics during the pandemic. The main contribution of this literature survey is to answer two research questions, i.e. 1) what the main research contributions are to combat the pandemic from the robotic technologies’ perspective, and 2) what the promising supporting technologies are needed during and after the pandemic to help and guide future robotics research. The current achievements of robotic technologies are reviewed and discussed in different categories, followed by the identification of the representative work’s technology readiness level. The future research trends and essential technologies are then highlighted, including artificial intelligence, 5 G, big data, wireless sensor network, and human-robot collaboration.

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Section: Robots In Covid-19mentioning

confidence: 99%

“…Abdel-Basset et al [ 9 ] analysed the intelligent technologies and proposed a technology framework. AI-based robots were identified to burden from the healthcare team some duties to perform the medical examination of patients [ 46 ].…”

Section: Robots In Covid-19mentioning

confidence: 99%

A literature survey of the robotic technologies during the COVID-19 pandemic

Wang

2021

Journal of Manufacturing Systems

195

View full text Add to dashboard Cite

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“…Ultimately, from a general perspective, the authors in Abdel-Basset et al ( 2021b ) describe and discuss a combination of different technologies for COVID-19 analysis. Such technologies fusion include AI, industry 4.0, IoT, Internet of Medical Things (IoMT), big data, virtual reality (VR), Drone technology, Autonomous Robots, 5G, and blockchain to deliver jointly innovative solutions.…”

Section: The Pandemic Dynamics: a Conceptual Overviewmentioning

confidence: 99%

The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic

et al. 2021

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The first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the COVID-19 pandemic has dramatically accelerated the adoption of Artificial Intelligence (AI) in different fields. We have witnessed the equivalent of two years of digital transformation compressed into just a few months. Whether it is in tracing epidemiological peaks or in transacting contactless payments, the impact of these developments has been almost immediate, and a window has opened up on what is to come. Here we analyze and discuss how AI can support us in facing the ongoing pandemic. Despite the numerous and undeniable contributions of AI, clinical trials and human skills are still required. Even if different strategies have been developed in different states worldwide, the fight against the pandemic seems to have found everywhere a valuable ally in AI, a global and open-source tool capable of providing assistance in this health emergency. A careful AI application would enable us to operate within this complex scenario involving healthcare, society and research.

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“…Finally, we would like to reflect on the importance of these techniques, their relationship with the pandemic caused by COVID19 and its economic, social, and business consequences (Al Eid and Arnout, 2020 ). Although it is true that the proposed explanatory and predictive model could never have predicted the appearance of this disease and its consequences, we consider that it would be interesting to periodically assess the proposal update in order to verify that factors of a health nature such as the one suffered in the last year may influence the results achieved and above all, to know the possible modifications that can be proposed for the future, as well as their influence on business decision making (Abdel-Basset et al, 2021 , Sharma and Gupta, 2021 ).…”

Section: Limitations Recommendations and Avenues For Future Researcmentioning

confidence: 99%

Predicting Big Data Adoption in Companies With an Explanatory and Predictive Model

et al. 2021

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The purpose of this paper is to identify the factors that affect the intention to use Big Data Applications in companies. Research into Big Data usage intention and adoption is scarce and much less from the perspective of the use of these techniques in companies. That is why this research focuses on analyzing the adoption of Big Data Applications by companies. Further to a review of the literature, it is proposed to use a UTAUT model as a starting model with the update and incorporation of other variables such as resistance to use and perceived risk, and then to perform a neural network to predict this adoption. With respect to this non-parametric technique, we found that the multilayer perceptron model (MLP) for the use of Big Data Applications in companies obtains higher AUC values, and a better confusion matrix. This paper is a pioneering study using this hybrid methodology on the intention to use Big Data Applications. The result of this research has important implications for the theory and practice of adopting Big Data Applications.

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An intelligent framework using disruptive technologies for COVID-19 analysis

Cited by 202 publications

References 39 publications

A literature survey of the robotic technologies during the COVID-19 pandemic

A literature survey of the robotic technologies during the COVID-19 pandemic

The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic

Predicting Big Data Adoption in Companies With an Explanatory and Predictive Model

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