Crowd-Machine Hybrid Urban Sensing and Computing.
With progress in the Internet of Things, artificial intelligence, and cloud/edge computing, urban sensing and computing (USC) has become a promising solution to address the challenges in modern cities. This article investigates how to combine the power of human/crowd and machine intelligence to enab...
| Publicado en: | Computer (00189162) Vol. 54; no. 4; pp. 26 - 35 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
IEEE
Apr2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=149806651&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 149806651 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Apr2021 vid: 54 iid: 4 pid: 13605 pub: IEEE artinfo: ui: 149806651 10.1109/MC.2020.3023931 ppf: 26 ppct: 9 formats: tig: atl: Crowd-Machine Hybrid Urban Sensing and Computing. aug: au: Wang, Jiangtao Wang, Leye Song, Yanhui affil: Coventry University, Coventry, West Midlands, United Kingdom of Great Britain and Northern Ireland Réseaux et Services de Télécommunications, Institut Mines-Telecom/Telecom SudPais, Evry, Essonne, France su: Artificial intelligence Edge computing Internet of things sug: subj: Artificial intelligence Edge computing Internet of things ab: With progress in the Internet of Things, artificial intelligence, and cloud/edge computing, urban sensing and computing (USC) has become a promising solution to address the challenges in modern cities. This article investigates how to combine the power of human/crowd and machine intelligence to enable more innovative USC applications. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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