2022
DOI: 10.1007/s10257-022-00580-5
|View full text |Cite
|
Sign up to set email alerts
|

Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic

Abstract: The globe is now fighting the COVID-19 epidemic, and a cost-effective method to battle the outbreak is urgently required. In this era, the Internet of Things (IoT) offers healthcare systems or checks and discovers patients in epidemics to prevent the virus from spreading. In order to tackle the current COVID-19 pandemic, intelligent health care based on IoT is becoming increasingly vital in better digital technologies. This technology allows gadgets to link hospitals and other predefined sites to tackle this d… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 96 publications
0
4
0
Order By: Relevance
“…The implementation of blockchain technology, AI, IoT, robotics, drones, and automated sanitization processes has been observed to diminish the need for extensive engagement of healthcare personnel, hence mitigating the potential hazards associated with contamination. 269 For instance, the COVICT system, based on IoT, uses semi-automated contact tracing and real-time symptom data. By utilizing the Smart Lockdown strategy, the system can enhance the estimation of affected individuals, identify contaminated areas, and reduce infection transmission.…”
Section: Iomt In Advanced Diagnostics Of Sars-cov-2mentioning
confidence: 99%
“…The implementation of blockchain technology, AI, IoT, robotics, drones, and automated sanitization processes has been observed to diminish the need for extensive engagement of healthcare personnel, hence mitigating the potential hazards associated with contamination. 269 For instance, the COVICT system, based on IoT, uses semi-automated contact tracing and real-time symptom data. By utilizing the Smart Lockdown strategy, the system can enhance the estimation of affected individuals, identify contaminated areas, and reduce infection transmission.…”
Section: Iomt In Advanced Diagnostics Of Sars-cov-2mentioning
confidence: 99%
“…Fog/cloud computing and IoT enable improved data processing, real-time analytics, and decentralized decisionmaking. This integration can alter numerous sectors, creating smarter, more efficient, and networked systems [21], [22].…”
Section: Iot Componentsmentioning
confidence: 99%
“…Fog computing helps robotic systems make real-time decisions. Robots can react quickly to changing situations using edge-deployed AI algorithms to process data streams [25]. Time-sensitive applications like collaborative robotics and industrial automation require fast reactions for task completion and safety.…”
Section: Real-time Decisionsmentioning
confidence: 99%
“…When considering machine learning algorithms for robotic applications, it is essential to consider factors like computing efficiency, memory demands, accuracy, and adaptation to resource-constrained edge devices [31]. The following are some of the machine learning approaches and evaluation criteria that Edge AI uses for robotics: Because SVMs are so effective at classification and regression work, they are frequently used in Edge AI for robotics applications.…”
Section: Evaluation Of Different Machine Learning Algorithms Suitable...mentioning
confidence: 99%