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This paper presents a localization method for indoor environments capable of improving the location accuracy that is hampered by instability in RSSI of the IEEE 802.11 networks. The method employs the k-Nearest Neighbors (kNN) algorithm and quartiles
Externí odkaz:
http://arxiv.org/abs/2012.14850
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFAM
Universidade Federal do Amazonas (UFAM)
instacron:UFAM
Universidade Federal do Amazonas (UFAM)
instacron:UFAM
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::ac4c8bda148e73903c11ad6c51f2c2df
https://tede.ufam.edu.br/handle/tede/7129
https://tede.ufam.edu.br/handle/tede/7129