Publication
An Overview on Cloud Services for Human Tracking
dc.contributor.author | Martins, Manuel | |
dc.contributor.author | Mota, David | |
dc.contributor.author | Martins, Pedro | |
dc.contributor.author | Abbasi, Maryam | |
dc.contributor.author | Caldeira, Filipe | |
dc.date.accessioned | 2023-07-04T10:20:55Z | |
dc.date.available | 2023-07-04T10:20:55Z | |
dc.date.issued | 2021 | |
dc.date.updated | 2023-06-14T14:24:55Z | |
dc.description.abstract | This paper reflects the intention to test the use of public cloud services to assess the presence of humans in a given space, more precisely, multiple stores, with the least effort and in the fastest way. It is also intended to demonstrate that the use of the public cloud can be an instrument of added value in business areas and research areas. In the specific case, the cloud was used to train and use artificial intelligence models. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.1007/978-3-030-87687-6_1 | pt_PT |
dc.identifier.issn | 2194-5357 | |
dc.identifier.issn | 2194-5365 | |
dc.identifier.slug | cv-prod-2624854 | |
dc.identifier.uri | http://hdl.handle.net/10400.19/7848 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Springer International Publishing | pt_PT |
dc.subject | Cognitive Services | pt_PT |
dc.subject | Machine Learning | pt_PT |
dc.subject | SQL | pt_PT |
dc.subject | Cloud | pt_PT |
dc.subject | Tracking | pt_PT |
dc.title | An Overview on Cloud Services for Human Tracking | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 12 | pt_PT |
oaire.citation.startPage | 3 | pt_PT |
oaire.citation.title | DiTTEt 2021: New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence | pt_PT |
person.familyName | Caldeira | |
person.givenName | Filipe | |
person.identifier | lXPmBvYAAAAJ | |
person.identifier.ciencia-id | CB11-8109-AB1D | |
person.identifier.orcid | 0000-0001-7558-2330 | |
person.identifier.scopus-author-id | 36023210300 | |
rcaap.cv.cienciaid | CB11-8109-AB1D | Filipe Caldeira | |
rcaap.rights | restrictedAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | e845705e-5b0b-4f70-9c53-c472ffd768d1 | |
relation.isAuthorOfPublication.latestForDiscovery | e845705e-5b0b-4f70-9c53-c472ffd768d1 |