Number of the records: 1
Comparison of UAV landing site classifications with deep neural networks
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$2 DOI $a 10.1007/978-3-030-77445-5_6 024 7-
$2 SCOPUS $a 2-s2.0-85115836753 035 $a biblio/316677 $2 CREPC2 040 $a STU $b slo 041 0-
$a eng $b eng 100 1-
$7 stu_us_auth*0043578 $a Kuchár, Daniel, $d 1979- $u 066000 $4 aut $9 50 $r Z3 $U MTF Materiálovotechnologická fakulta $T MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky $X 93566 $U M6000 $Y 86 245 10
$a Comparison of UAV landing site classifications with deep neural networks / $c aut. Daniel Kuchár, Peter Schreiber 650 04
$7 stu_us_auth*0096333 $a UAV landing site 650 04
$7 stu_us_auth*0039643 $a deep learning 650 04
$7 stu_us_auth*0043579 $a AlexNet 700 1-
$7 stu_us_auth*stu32849 $a Schreiber, Peter, $d 1960- $u 066000 $r Z1 $4 aut $9 50 $U MTF Materiálovotechnologická fakulta $T MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky $X 247 $U M6000 $Y 86 773 0-
$w stu_us_cat*0089666 $t Artificial Intelligence in Intelligent Systems $b 1. vyd. $h 778 s. $x 2367-3370 $z 978-3-030-77444-8 $7 nnam $d Cham : Springer, 2021 $k Lecture Notes in Networks and Systems $g S. 55-63 856 4-
$u https://link.springer.com/chapter/10.1007/978-3-030-77445-5_6
Number of the records: 1