| 000 | 00985 a2200265 4500 | ||
|---|---|---|---|
| 005 | 20250518075350.0 | ||
| 264 | 0 | _c20200429 | |
| 008 | 202004s 0 0 eng d | ||
| 022 | _a1424-8220 | ||
| 024 | 7 |
_a10.3390/s20010094 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aNguyen, Huu-Thu | |
| 245 | 0 | 0 |
_aStudy on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body. _h[electronic resource] |
| 260 |
_bSensors (Basel, Switzerland) _cDec 2019 |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aHuman Body |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 |
_aImage Processing, Computer-Assisted _xmethods |
| 650 | 0 | 4 | _aNeural Networks, Computer |
| 650 | 0 | 4 | _aUltrasonic Waves |
| 700 | 1 | _aLee, Eon-Ho | |
| 700 | 1 | _aLee, Sejin | |
| 773 | 0 |
_tSensors (Basel, Switzerland) _gvol. 20 _gno. 1 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.3390/s20010094 _zAvailable from publisher's website |
| 999 |
_c30460410 _d30460410 |
||