The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook

Abubakar, Attai Ibrahim; Omeke, Kenechi G.; Öztürk, Metin; Hussain, Sajjad; Imran, Muhammad Ali

doi:10.3389/frcmn.2020.575065

Cited by 31 publications

(16 citation statements)

References 147 publications

(244 reference statements)

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“…Moreover, there was a remarkably extensive use and reliance on AI tools by Middle Eastern and North African countries such as Tunisia (using P-Guards or Robocop), Morocco, Bahrain, Saudi Arabia, Egypt, Qatar, Oman, Kuwait, the United Arab Emirates (i.e. Dubai), Lebanon and Israel including speed cameras, drones and robots to enforce quarantine rules, perform deliveries, and maintain social distancing [120][121][122], aside using police/military patrols and helicopters with speakers. In fact, drones were also used to monitor cases and ensure medical deliveries and testing samples to limit the COVID-19 outbreak in Africa [123].…”

Section: Counter-pandemic Fieldmentioning

confidence: 99%

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

Yaacoub

Noura

Salman

et al. 2021

Int. J. Inf. Secur.

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The recent digital revolution led robots to become integrated more than ever into different domains such as agricultural, medical, industrial, military, police (law enforcement), and logistics. Robots are devoted to serve, facilitate, and enhance the human life. However, many incidents have been occurring, leading to serious injuries and devastating impacts such as the unnecessary loss of human lives. Unintended accidents will always take place, but the ones caused by malicious attacks represent a very challenging issue. This includes maliciously hijacking and controlling robots and causing serious economic and financial losses. This paper reviews the main security vulnerabilities, threats, risks, and their impacts, and the main security attacks within the robotics domain. In this context, different approaches and recommendations are presented in order to enhance and improve the security level of robotic systems such as multi-factor device/user authentication schemes, in addition to multi-factor cryptographic algorithms. We also review the recently presented security solutions for robotic systems.

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Section: Counter-pandemic Fieldmentioning

confidence: 99%

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

Yaacoub

Noura

Salman

et al. 2021

Int. J. Inf. Secur.

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“…A smart contract is an autorun program activated by tags, IoT sensors, actuators, etc. [85][86][87][88].…”

Section: Logisticsmentioning

confidence: 99%

Blockchain-Based IoT Devices in Supply Chain Management: A Systematic Literature Review

et al. 2021

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Through recent progress, the forms of modern supply chains have evolved into complex networks. The supply chain management systems face a variety of challenges. These include lack of visibility of the upstream party (Provider) to the downstream party (Client); lack of flexibility in the face of sudden variations in demand and control of operating costs; lack of reliance on safety stakeholders; ineffective management of supply chain risks. Blockchain (BC) is used in the supply chain to overcome the growing demands for items. The Internet of Things (IoT) is a profoundly encouraging innovation that can help companies observe, track, and monitor products, activities, and processes within their respective value chain networks. Research establishments and logical gatherings are ceaselessly attempting to answer IoT gadgets in supply chain management. This paper presents orderly writing on and reviewing of Blockchain-based IoT advances and their current usage. We discuss the smart devices used in this system and which device is the most appropriate in the supply chain. This paper also looks at future examination themes in blockchain-based IoT, referred to as the executive’s framework production network. The essential deliberate writing audit has been consolidated by surveying research articles circulated in highly reputable publications between 2016 and 2021. Lastly, current issues and challenges are present to provide researchers with promising future directions in IoT supply chain management systems.

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“…During the research analysis, researchers argued that the CNN method could predict the difference between COVID-19, viral pneumonia of influenza-A and stable cases with a precision of 86.7 percent. It consists of 219 CT scan photos of 110 COVID-19 patients and chest-based CT influenza scanners of stable individuals and patients [24].…”

Section: B Extreme Covid-19 Survival Prediction a Imentioning

confidence: 99%

The Avoidance And Detection Function Of Artificial Intelligence In Covid-19

Abdulateef¹,

Mohammed

Abdulateef

2021

2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)

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The whole planet today is having to fight COVID-19 with big obstacles. The COVID-19 influenced several countries around the world between December 2019 and the present day. Many organisations and scientists seek to find a vaccine and to minimize the spread of COVID-19. Artificial Intelligence is one technology that can successfully address this virus (AI). In the case of other pathogens, artificial intelligence performed very well and could help us cope with the virus COVID-19, too. It is the imagination and the information of the people who use it which will help to overcome this dilemma. In some previous instances AI played a major role in virus prevention and identification. We have an ability to detect certain aspects of the AI because of the COVID-19 crisis. Machine learning that an AI subclass is used to identify patterns and to plan valuable knowledge based on recorded data sets. At the point where used entirely, AI can exceed human efforts by speed and differentiate designs from knowledge previously ignored. However many correct and appropriate data are needed for effective implementation of AI systems. This paper discusses the AI's role in COVID-19 prevention and detection and examines numerous technological aspects of AI. This paper would also clarify where AI will contribute with likely solutions to stop the spread of COVID-19.

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The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook

Cited by 31 publications

References 147 publications

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

Blockchain-Based IoT Devices in Supply Chain Management: A Systematic Literature Review

The Avoidance And Detection Function Of Artificial Intelligence In Covid-19

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