Automatic detection of false positive RFID readings using machine learning algorithms
作者：
Highlights：
• This paper presents a classification method for detection of false positive RFID readings.
• We collect RFID data from a joint factory built by NTNU and SPU.
• We extract received signal strength (RSS) and phase rotations derived from the raw RFID data.
• Experimental results demonstrate our proposed method achieves satisfactory accuracy.
摘要
•This paper presents a classification method for detection of false positive RFID readings.•We collect RFID data from a joint factory built by NTNU and SPU.•We extract received signal strength (RSS) and phase rotations derived from the raw RFID data.•Experimental results demonstrate our proposed method achieves satisfactory accuracy.
论文关键词：RFID,Machine learning,Classification,False positive readings
论文评审过程：Received 10 January 2017, Revised 3 August 2017, Accepted 9 September 2017, Available online 13 September 2017, Version of Record 19 September 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.021
