Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11960/2912
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Peinado, José | - |
dc.contributor.author | Ochoa, Alberto | - |
dc.contributor.author | Paiva, Sara | - |
dc.date.accessioned | 2022-11-29T18:59:52Z | - |
dc.date.available | 2022-11-29T18:59:52Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Peinado, j., Ochoa, A., & Paiva, S. (2022). Implementation of an intelligent model based on big data and decision-making using fuzzy logic type-2 for the car assembly industry in an industrial estate in northern Mexico. In S. Aurelia, & S. Paiva (Eds.), Immersive Technology in Smart Cities: augmented and virtual reality in IoT (pp. 107-122). Springer. https://doi.org/10.1007/978-3-030-66607-1_6 | pt_PT |
dc.identifier.isbn | 978-3-030-66606-4 | - |
dc.identifier.isbn | 978-3-030-66607-1 | - |
dc.identifier.issn | 2522-8595 | - |
dc.identifier.issn | 2522-8609 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11960/2912 | - |
dc.language.iso | eng | pt_PT |
dc.publisher | Springer | pt_PT |
dc.rights | closedAccess | pt_PT |
dc.title | Implementation of an intelligent model based on big data and decision-making using fuzzy logic type-2 for the car assembly industry in an industrial estate in northern Mexico | pt_PT |
dc.type | bookPart | pt_PT |
dc.date.updated | 2022-10-26T10:28:03Z | - |
dc.description.version | 5311-8814-F0ED | Sara Maria da Cruz Maia de Oliveira Paiva | - |
dc.description.version | N/A | - |
dc.identifier.slug | cv-prod-2709087 | - |
dc.peerreviewed | yes | pt_PT |
degois.publication.firstPage | 107 | pt_PT |
degois.publication.lastPage | 122 | pt_PT |
degois.publication.title | Immersive Technology in Smart Cities: augmented and virtual reality in IoT | pt_PT |
dc.identifier.doi | 10.1007/978-3-030-66607-1_6 | - |
dc.identifier.eid | 2-s2.0-85109977916 | - |
Appears in Collections: | ESTG - Artigos indexados à WoS/Scopus |
Files in This Item:
File | Description | Size | Format | |
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2021_21.pdf Restricted Access | 797.38 kB | Adobe PDF | View/Open Request a copy |
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