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dc.contributor.authorRauniyar, Ashish
dc.contributor.authorHagos, Desta Haileselassie
dc.contributor.authorJha, Debesh
dc.contributor.authorHåkegård, Jan Erik
dc.date.accessioned2022-10-05T12:39:10Z
dc.date.available2022-10-05T12:39:10Z
dc.date.created2022-07-29T13:56:46Z
dc.date.issued2022
dc.identifier.citationProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. 2022, 216-220.en_US
dc.identifier.issn1551-2282
dc.identifier.urihttps://hdl.handle.net/11250/3024075
dc.description.abstractDue to the current COVID-19 virus, which has already been declared a pandemic by the World Health Organization (WHO), we are witnessing the greatest pandemic of the decade. Millions of people are being infected, resulting in thousands of deaths every day across the globe. Even the world’s best healthcare-providing countries could not handle the pandemic because of the strain of treating thousands of patients at a time. The count of infections and deaths is increasing at an alarming rate because of the spread of the virus. We believe that innovative technologies could help reduce pandemics to a certain extent until we find a definite solution from the medical field to handle and treat such pandemic situations. Technology innovation has the potential to introduce new technologies that could support people and society during these difficult times. Therefore, this paper proposes the idea of using drones as a companion to tackle current and future pandemics. Our COROID drone is based on the principle of crowdsourcing sensors data of the public's smart devices, which can correlate the reading of the infrared cameras equipped on COROID drones. To the best of our knowledge, this concept has yet to be investigated either as a concept or as a product. Therefore, we believe that the COROID drone is innovative and has a huge potential to tackle COVID-19 and future pandemics.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.subjectCovid-19en_US
dc.subjectCovid-19en_US
dc.subjectInternet of Thingsen_US
dc.subjectInternet of Thingsen_US
dc.subjectDroneren_US
dc.subjectDronesen_US
dc.subjectMaskinlæringen_US
dc.subjectMachine learningen_US
dc.titleCOROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemicsen_US
dc.title.alternativeCOROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemicsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.subject.nsiVDP::Kommunikasjon og distribuerte systemer: 423en_US
dc.subject.nsiVDP::Communication and distributed systems: 423en_US
dc.subject.nsiVDP::Kommunikasjon og distribuerte systemer: 423en_US
dc.subject.nsiVDP::Communication and distributed systems: 423en_US
dc.source.pagenumber216-220en_US
dc.source.journalProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshopen_US
dc.identifier.doi10.1109/SAM53842.2022.9827805
dc.identifier.cristin2040082
dc.relation.projectNorges forskningsråd: 300102en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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