Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2196-1115
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach ; volume:6 ; number:1 ; day:29 ; month:3 ; year:2019 ; pages:1-23 ; date:12.2019
Journal of Big Data ; 6, Heft 1 (29.3.2019), 1-23, 12.2019

Creator
Georgievska, Sonja
Rutten, Philip
Amoraal, Jan
Ranguelova, Elena
Bakhshi, Rena
Vries, Ben L. de
Lees, Michael
Klous, Sander
Contributor
SpringerLink (Online service)

DOI
10.1186/s40537-019-0194-3
URN
urn:nbn:de:101:1-2019042021062806396391
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:53 AM CEST

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Associated

  • Georgievska, Sonja
  • Rutten, Philip
  • Amoraal, Jan
  • Ranguelova, Elena
  • Bakhshi, Rena
  • Vries, Ben L. de
  • Lees, Michael
  • Klous, Sander
  • SpringerLink (Online service)

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