Utilizing Random Forest with iForest-Based Outlier Detection and SMOTE to Detect Movement and Direction of RFID Tags

Utilizing Random Forest with iForest-Based Outlier Detection and SMOTE to Detect Movement and Direction of RFID Tags

In recent years, radio frequency identification (RFID) technology has been utilized to monitor product movements within a supply chain in real time. By utilizing RFID technology, the products can be tracked automatically in real-time. However, the RFID cannot detect the movement and direction of the...

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Bibliographic Details
Main Authors: Ganjar Alfian, Muhammad Syafrudin, Norma Latif Fitriyani, Sahirul Alam, Dinar Nugroho Pratomo, Lukman Subekti, Muhammad Qois Huzyan Octava, Ninis Dyah Yulianingsih, Fransiskus Tatas Dwi Atmaji, Filip Benes
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Future Internet
Subjects:
RFID
IoT
machine learning
tag direction
outlier detection
data balancing
Online Access:https://www.mdpi.com/1999-5903/15/3/103

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https://www.mdpi.com/1999-5903/15/3/103

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