LEADER 00868nam0-22002651i-450- 001 990005844150403321 005 19990530 035 $a000584415 035 $aFED01000584415 035 $a(Aleph)000584415FED01 035 $a000584415 100 $a19990530f19001997km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aInsegnamenti retorici medievali e dottrine estetiche moderne nel "De vulgari eloquentia" di Dante$fFrancesco Di Capua 210 $aNapoli$cLuigi Loffredo$d[s.d.] 215 $a130 p.$d23 cm 700 1$aDi Capua,$bFrancesco$028927 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005844150403321 952 $aBIBL.FOL. 749$bBIBL. 40661$fFLFBC 959 $aFLFBC 996 $aInsegnamenti retorici medievali e dottrine estetiche moderne nel "De vulgari eloquentia" di Dante$9566310 997 $aUNINA LEADER 00987nam a2200265 i 4500 001 991001961829707536 005 20020503155349.0 008 991109s1966 it ||| | ita 020 $a8810402626 035 $ab10297030-39ule_inst 035 $aEXGIL94337$9ExL 040 $aDip.to Filol. Ling. e Lett.$bita 100 1 $aCremascoli, Giuseppe$0155133 245 13$aLa bibbia nel medioevo /$ca cura di Giuseppe Cremascoli, Claudio Leonardi 260 $a[Bologna] :$bEdizioni dehoniane,$c[1966] 300 $a485 p., [8] c. di tav. :$bill. ;$c22 cm. 630 04$aBibbia - Interpretazione$yMedioevo 650 4$aEsegesi biblica 700 1 $aLeonardi, Claudio 907 $a.b10297030$b21-09-06$c27-06-02 912 $a991001961829707536 945 $aLE008 FL.M. (f.r.) IX 314$g1$i2008000004989$lle008$o-$pE0.00$q-$rl$s- $t0$u2$v1$w2$x0$y.i10350354$z27-06-02 996 $aBibbia nel medioevo$9209124 997 $aUNISALENTO 998 $ale008$b01-01-99$cm$da $e-$fita$git $h3$i1 LEADER 01287nam 22003853 450 001 9911049216703321 005 20260105120724.0 010 $a3-032-11854-9 035 $a(CKB)44769877200041 035 $a(MiAaPQ)EBC32471210 035 $a(Au-PeEL)EBL32471210 035 $a(EXLCZ)9944769877200041 100 $a20260105d2026 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Signal Processing $eDecomposition, Entropy, and Machine Learning 205 $a1st ed. 210 1$aCham :$cSpringer,$d2026. 210 4$dİ2025. 215 $a1 online resource (93 pages) 225 1 $aSpringerBriefs in Energy Series 311 08$a3-032-11853-0 330 $aThis brief explores advanced signal processing techniques, focusing on signal decomposition, entropy analysis, and machine learning, with applications in energy-related fields such as hydroturbines, wind turbines, and power grids. 410 0$aSpringerBriefs in Energy Series 700 $aZhang$b Yuning$01732309 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049216703321 996 $aAdvanced Signal Processing$94521894 997 $aUNINA