LEADER 01030cam0-22003731i-450 001 990001859830403321 005 20191125151425.0 035 $a000185983 035 $aFED01000185983 035 $a(Aleph)000185983FED01 035 $a000185983 100 $a20030910g19999999km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $aEntomologia applicata$fErmenegildo Tremblay 205 $a6. ed. 210 $aNapoli$cLiguori$d1999- 215 $av.$d25 cm 327 0 $a1.: Generalità e mezzi di controllo. 610 0 $aInsetti 610 0 $aEntomologia agraria 676 $a595.7 700 1$aTremblay,$bErmenegildo$0353655 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001859830403321 952 $a60 595.7 TREE-1 1999$b8208$fFAGBC 952 $a61 IX A.5/79.11$b8712(31/10/2001)$fDAGEN 952 $a61 IX A.5/79.10$b8711(31/10/2001)$fDAGEN 959 $aFAGBC 959 $aDAGEN 996 $aEntomologia applicata$977779 997 $aUNINA LEADER 01404nam0 22003253i 450 001 VAN0250944 005 20220929022546.234 010 $a978-30-306-2581-8 100 $a20220929d2021 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aMalware analysis using artificial intelligence and deep learning$fMark Stamp, Mamoun Alazab, Andrii Shalaginov editors 210 $aCham$cSpringer$d2021 215 $axx, 651 p.$cill.$d24 cm 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 606 $a68Txx$xArtificial intelligence [MSC 2020]$3VANC021266$2MF 606 $a68Nxx$xTheory of software [MSC 2020]$3VANC027772$2MF 606 $a68T07$xArtificial neural networks and deep learning [MSC 2020]$3VANC036862$2MF 620 $aCH$dCham$3VANL001889 702 1$aAlazab$bMamoun$3VANV204907 702 1$aShalaginov$bAndrii$3VANV204908 702 1$aStamp$bMark$3VANV204906 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $aVAN0250944 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST 68-XX 4256 $e08DMF750 I 20220929 996 $aMalware analysis using artificial intelligence and deep learning$92814723 997 $aUNICAMPANIA