RFID-based Indoor Positioning using Edge Machine Learning

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1
Number of pages	1
Journal	IEEE Journal of Radio Frequency Identification
Volume	6
DOIs	https://doi.org/10.1109/JRFID.2022.3182819
Publication status	Published - 2022

Research Field

@article{8b8c954c35954d338a1c3fc2f3576a77,

title = "RFID-based Indoor Positioning using Edge Machine Learning",

author = "Massimo Merenda and Luca Catarinucci and Riccardo Colella and Demetrio Iero and \{Della Corte\}, \{Francesco G.\} and Riccardo Carotenuto",

year = "2022",

doi = "10.1109/JRFID.2022.3182819",

language = "English",

volume = "6",

pages = "1",

journal = "IEEE Journal of Radio Frequency Identification",

issn = "2469-7281",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - RFID-based Indoor Positioning using Edge Machine Learning

AU - Merenda, Massimo

AU - Catarinucci, Luca

AU - Colella, Riccardo

AU - Iero, Demetrio

AU - Della Corte, Francesco G.

AU - Carotenuto, Riccardo

PY - 2022

Y1 - 2022

U2 - 10.1109/JRFID.2022.3182819

DO - 10.1109/JRFID.2022.3182819

M3 - Article

SN - 2469-7281

VL - 6

SP - 1

JO - IEEE Journal of Radio Frequency Identification

JF - IEEE Journal of Radio Frequency Identification

ER -