Fault Detection in Wireless Sensor Networks Data Using Random Under Sampling and Extra-Tree Algorithm

As a highly diverse cyber-physical system, Wireless Sensor Network (WSN) is vulnerable to various failures, which can have catastrophic consequences for safety, economy, and system dependability. Due to the various deployments and limitations of sensor resources, proper detection and diagnosis of fa...

Celý popis

Podrobná bibliografie

Vydáno v:	International Conference on Cybe and IT Service Management (Online) s. 1 - 6
Hlavní autoři:	Wardhani, Luh Kesuma, Febriyanto, Rifqi Adjie, Anggraini, Nenny
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 20.09.2022
Témata:	Biological system modeling Classification Extra-Tree Algorithm Fault detection Machine Learning Radio frequency Sampling methods Support vector machines Under Sampling Method Wireless communication Wireless Sensor Network Wireless sensor networks WSN
ISSN:	2770-159X
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!