Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76348
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dc.contributor.authorM. Poongodien_US
dc.contributor.authorMohit Malviyaen_US
dc.contributor.authorMounir Hamdien_US
dc.contributor.authorHafiz Tayyab Raufen_US
dc.contributor.authorSeifedine Kadryen_US
dc.contributor.authorOrawit Thinnukoolen_US
dc.date.accessioned2022-10-16T07:08:35Z-
dc.date.available2022-10-16T07:08:35Z-
dc.date.issued2021-01-01en_US
dc.identifier.issn21693536en_US
dc.identifier.other2-s2.0-85110786136en_US
dc.identifier.other10.1109/ACCESS.2021.3094400en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85110786136&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76348-
dc.description.abstractDifferent epidemics, specially Coronavirus, have caused critical misfortunes in various fields like monetary deprivation, survival conditions, thus diminishing the overall individual fulfillment. Various worldwide associations and different hierarchies of government fraternity are endeavoring to offer the necessary assistance in eliminating the infection impacts but unfortunately standing up to the non-appearance of resources and expertise. In contrast to all other pandemics, Coronavirus has proven to exhibit numerous requirements such that curated appropriation and determination of innovations are required to deal with the vigorous undertakings, which include precaution, detection, and medication. Innovative advancements are essential for the subsequent pandemics where-in the forthcoming difficulties can indeed be approached to such a degree that it facilitates constructive solutions more comprehensively. In this study, futuristic and emerging innovations are analyzed, improving COVID-19 effects for the general public. Large data sets need to be advanced so that extensive models related to deep analysis can be used to combat Coronavirus infection, which can be done by applying Artificial intelligence techniques such as Natural Language Processing (NLP), Machine Learning (ML), and Computer vision to varying processing files. This article aims to furnish variation sets of innovations that can be utilized to eliminate COVID-19 and serve as a resource for the coming generations. At last, elaboration associated with future state-of-the-art technologies and the attainable sectors of AI methodologies has been mentioned concerning the post-COVID-19 world to enable the different ideas for dealing with the pandemic-based difficulties.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.subjectMaterials Scienceen_US
dc.titleThe Recent Technologies to Curb the Second-Wave of COVID-19 Pandemicen_US
dc.typeJournalen_US
article.title.sourcetitleIEEE Accessen_US
article.volume9en_US
article.stream.affiliationsHamad Bin Khalifa University, College of Science and Engineeringen_US
article.stream.affiliationsWipro Limiteden_US
article.stream.affiliationsStaffordshire Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsNoroff University Collegeen_US
Appears in Collections:CMUL: Journal Articles

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