Table 4 The values of \(\gamma\), \({\chi }_{\mathrm{rqm}}\), and \({\omega }_{\mathrm{m}}\) of each extracted feature.
From: High-accuracy model recognition method of mobile device based on weighted feature similarity
Extraction feature | \(\gamma\)(× 10–3) | \({\chi }_{\mathrm{rqm}}\)(× 10–4) | \({\omega }_{\mathrm{m}}\)(%) |
|---|---|---|---|
Device dimensions | 6.189 | 0 | 0 |
Device weight | 6.855 | 0 | 0 |
Display size | 5.936 | 0 | 0 |
Screen-to-body ratio | 5.979 | 0 | 0 |
Resolution | 12.862 | 0 | 0 |
Display density | 9.034 | 0 | 0 |
Chipset | 10.780 | 178.253 | 18.019 |
GPU | 11.921 | 171.229 | 17.309 |
Internal memory | 16.212 | 138.496 | 14.000 |
Memory card | 20.397 | 0 | 0 |
Operating system | 16.566 | 118.396 | 11.968 |
Battery capacity | 7.536 | 0 | 0 |
Battery charging | 15.169 | 138.055 | 13.956 |
Selfie camera | 15.493 | 136.145 | 13.763 |
Main camera | 12.040 | 108.668 | 10.985 |
Network technology | 21.920 | − 21.607 | 0 |
SIM | 15.560 | 0 | 0 |
WLAN | 6.109 | 0 | 0 |
NFC | 20.628 | 0 | 0 |
Bluetooth | 6.114 | 0 | 0 |
GPS | 9.172 | 0 | 0 |