| Description |
1 online resource |
| Summary |
Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture. |
| Subject |
Cooperating objects (Computer systems)
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COVID-19 Pandemic, 2020- -- Research.
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Objets coopérants (Systèmes informatiques)
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Pandémie de COVID-19, 2020- -- Recherche.
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Cooperating objects (Computer systems)
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Research
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COVID-19 Pandemic (2020-) https://id.oclc.org/worldcat/entity/E39Qhp4vB9ppxymcDb8984mKfy |
| Other Form: |
Print version: 0128245573 9780128245576 (OCoLC)1220991199 |
| ISBN |
9780323853576 (electronic bk.) |
|
0323853579 (electronic bk.) |
|
9780128245576 (electronic bk.) |
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0128245573 (electronic bk.) |
| Standard No. |
AU@ 000070513896 |
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