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Modeling and Assessment of RSSI in LoRa WAN Network Using a..:
, In:
2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY)
,
Spisic, Josip
;
Zrnic, Matko
;
Zagar, Drago
. - p. 000049-000054 , 2023
Link:
https://doi.org/10.1109/SISY60376.2023.10417868
RT T1
2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY)
: T1
Modeling and Assessment of RSSI in LoRa WAN Network Using a Neural Network Approach
UL https://suche.suub.uni-bremen.de/peid=ieee-10417868&Exemplar=1&LAN=DE A1 Spisic, Josip A1 Zrnic, Matko A1 Zagar, Drago A1 Crgic, Kresimir YR 2023 SN 1949-0488 K1 Performance evaluation K1 Predictive models K1 Maintenance engineering K1 Prediction algorithms K1 Internet of Things K1 Received signal strength indicator K1 Optimization K1 LPWAN K1 Neural network K1 LoRaWAN K1 RSSI K1 SNR SP 000049 OP 000054 LK http://dx.doi.org/https://doi.org/10.1109/SISY60376.2023.10417868 DO https://doi.org/10.1109/SISY60376.2023.10417868 SF ELIB - SuUB Bremen
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