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Evaluation of Machine Learning Models for a Chipless RFID Sensor Tag
Nadeem Rather
, Roy B.V.B. Simorangkir
,
John Buckley
,
Brendan O'Flynn
,
Salvatore Tedesco
Tyndall
School of Computer Science and Information Technology
Tyndall MicroNano Systems
Research output
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Earth and Planetary Sciences
Radar Cross Section
100%
Machine Learning Model
100%
Electromagnetism
75%
Root-Mean-Square Error
50%
Dielectric Material
25%
Electromagnetic Radiation
25%
Support Vector Machine
25%
Reflected Wave
25%
Radar Target
25%
Computer Science
Radar Cross Section
100%
Machine Learning Model
100%
Identification Code
50%
Radio Transceiver
25%
Quantitative Metric
25%
Gradient Boosting Tree
25%
UWB antenna
25%
Regression Tree
25%
Support Vector Regression
25%
Support Vector Machine
25%
Physics
Machine Learning
100%
Radar Cross Section
100%
Electromagnetism
75%
Dielectric Material
25%
Electromagnetic Radiation
25%
Reflected Wave
25%
Radar Target
25%