LEADER 00965nam0-22003011i-450- 001 990004969250403321 005 19990530 035 $a000496925 035 $aFED01000496925 035 $a(Aleph)000496925FED01 035 $a000496925 100 $a19990530g19709999km-y0itay50------ba 101 0 $aita 105 $aaf------00--- 200 1 $aEntremeses$fMiguel de Cervantes$gedición$gintroducción y notas de Eugenio Asensio 210 $aMadrid$cCastalia$dc 1970. 215 $a219 p., [3] c. di tav.$cill.$d18 cm 225 1 $aClásicos Castalia$v29 300 $aE' presente il frontespizio dell'edizione "Princeps" di Madrid, 1615. - 700 1$aCervantes Saavedra,$bMiguel de$f<1547-1616>$0131561 702 1$aAsensio,$bEugenio$f<1902-1996> 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004969250403321 952 $aALPHA 2232 29$bFil. Mod. 32375$fFLFBC 959 $aFLFBC 996 $aEntremeses$975893 997 $aUNINA LEADER 01463nam 2200325Ia 450 001 996385473503316 005 20200824132909.0 035 $a(CKB)1000000000602080 035 $a(EEBO)2264176300 035 $a(OCoLC)ocm10617926e 035 $a(OCoLC)10617926 035 $a(EXLCZ)991000000000602080 100 $a19840411d1660 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 13$aAn answer to some of the principal Quakers which deceive the people$b[electronic resource] $ebut more particularly to a book of John Chandler's called or known by this title, A narrative plainly shewing that the priests of England are as truly Antichrist ... as the Pope and his clergy, denying Christ to be both a king, a priest, and a prophet : with a serious warning to the Parliament not to uphold and maintain them by a law under any pretence whatsoever ... /$fby Francis Duke of Westminster 210 $aLondon $cPrinted by T.N. for Miles Michel the younger$d1660 215 $a88 p 300 $aReproduction of original in the Trinity College Library, Cambridge University. 330 $aeebo-0120 606 $aSociety of Friends$vControversial literature 615 0$aSociety of Friends 700 $aDuke$b Francis$01013353 801 0$bUMI 801 1$bUMI 801 2$bWaOLN 906 $aBOOK 912 $a996385473503316 996 $aAn answer to some of the principal Quakers which deceive the people$92373694 997 $aUNISA LEADER 02143nam 2200337 450 001 9910510417703321 005 20230825153958.0 035 $a(CKB)4930000000238647 035 $a(NjHacI)994930000000238647 035 $a(EXLCZ)994930000000238647 100 $a20230825d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aProceedings of the 4th ACM SIGSPATIAL international workshop on AI for geographic knowledge discovery /$fDalton Lunga [and six others], editors 210 1$aNew York, New York :$cAssociation for Computing Machinery,$d2021. 215 $a1 online resource (77 pages) 311 $a1-4503-9120-6 330 $aEmerging advances from artificial intelligence, hardware accelerators, and processing architectures continue to transform societal challenges impacted by geospatial applications. Recent breakthroughs in deep learning have brought forward an automated capability to learn hierarchical representational features from massive and complex data, including text, images, and videos. In tandem, rapid innovations in sensing technologies are collecting geospatial data in even higher resolution and throughput to enable mapping and analysis of the earth's surface, events, and various phenomena in unprecedented detail. When integrated, these developments offer potential breakthrough opportunities in geographic knowledge discovery geared to impact better decision making. The outcomes have broader implications, from humanitarian mapping, intelligent transport systems, urban expansion analysis, spatial diffusion methods to support epidemiology, climate change-induced threats, natural disasters, and monitoring of the earth's surface. 606 $aComputer science$vCongresses 615 0$aComputer science 676 $a004 702 $aLunga$b Dalton 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910510417703321 996 $aProceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery$92550082 997 $aUNINA