LEADER 02306nam 2200601 450 001 9910460777003321 005 20200520144314.0 010 $a1-84484-805-1 010 $a1-78310-465-1 035 $a(CKB)3710000000348530 035 $a(EBL)1938165 035 $a(SSID)ssj0001671872 035 $a(PQKBManifestationID)16466006 035 $a(PQKBTitleCode)TC0001671872 035 $a(PQKBWorkID)15009145 035 $a(PQKB)11530636 035 $a(MiAaPQ)EBC4357243 035 $a(MiAaPQ)EBC1938165 035 $a(Au-PeEL)EBL4357243 035 $a(CaPaEBR)ebr11282826 035 $a(OCoLC)950883246 035 $a(EXLCZ)993710000000348530 100 $a20161024h20142014 uy 0 101 0 $ager 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$a1000 Portraits /$fKlaus H. Carl und Victoria Charles 210 1$aNew York :$cParkstone Press International,$d[2014] 210 4$d©[2014] 215 $a1 online resource (544 p.) 300 $aIncludes index. 311 $a1-336-22428-2 311 $a1-78310-947-5 327 $aInhalt; Einleitung; Antike; Mittelalter; Renaissance; Barock; Moderne; Gegenwartskunst; Conclusio; Zeitleiste; Glossar; Ku?nstlerverzeichnis 330 $aGema?ß den etablierten kunsttechnischen Grundsa?tzen sollte ein Portra?t vor allem ein naturgetreues Abbild der portra?tierten Person darstellen. Im Laufe der Geschichte hat sich dieses Genre jedoch als weitaus komplexer erwiesen als es diese Richtlinie, die eine simple Nachahmung der Natur vorzuschreiben scheint, ausdru?cken ko?nnte. Das vorliegende Buch illustriert anhand einer umfangreichen Galerie von 1000 Portra?ts diese historische Entwicklung und bemu?ht sich daru?berhinaus, dem umfangreichen Genre der Portra?tmalerei gerecht zu werden.Denn das Portra?t ist mehr als die bloße Nachahmung der Natur 606 $aArt 606 $aPortrait 606 $aCelebrities 608 $aElectronic books. 615 0$aArt. 615 0$aPortrait. 615 0$aCelebrities. 676 $a700 700 $aCarl$b Klaus H.$0861194 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910460777003321 996 $a1000 Portraits$92059663 997 $aUNINA LEADER 04693nam 22006615 450 001 996418253003316 005 20200706121121.0 010 $a3-030-46943-3 024 7 $a10.1007/978-3-030-46943-6 035 $a(CKB)4100000011343241 035 $a(DE-He213)978-3-030-46943-6 035 $a(MiAaPQ)EBC6268625 035 $a(PPN)269144889 035 $a(EXLCZ)994100000011343241 100 $a20200706d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational and Bio-Engineering$b[electronic resource] $eProceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2 /$fedited by S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 506 p. 224 illus., 162 illus. in color.) 225 1 $aLearning and Analytics in Intelligent Systems,$x2662-3447 ;$v16 311 $a3-030-46942-5 327 $aChapter 1: Cloud Computing: A Study On Type of Data Stored in a Cloud and Its Security Mechanisms -- Chapter 2: Smart bag using electromagnetic zipping -- Chapter 3: Analysis on Various Feature Extraction Methods for Medical Image Classification -- Chapter 4: Prediction of Pest Generations based on Future Climate using Big Data Mining -- Chapter 5: Optimizing TCP Congestion Control Techniques for Wireless Sensor Network Architectures -- Chapter 6: Comparative In-silico studies for theolecular basis of lepidopteran insect pestsBio-control using insect?s own enzymes -- Chapter 7: Collaborative Cloud Computing for Resour Sharing Platform in Multiple Clouds -- Chapter 8: Deep Learning of Paradigms: The Outlook -- Chapter 9: Applications of Network Analysis in Bioinformatics -- Chapter 10: Identification of Clinical Variants Present inSkin Melanoma Using Exome Sequencing Data. 330 $aThis book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes. 410 0$aLearning and Analytics in Intelligent Systems,$x2662-3447 ;$v16 606 $aBiomathematics 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aEngineering mathematics 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 606 $aEngineering Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/T11030 615 0$aBiomathematics. 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 0$aEngineering mathematics. 615 14$aMathematical and Computational Biology. 615 24$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aEngineering Mathematics. 676 $a004 702 $aJyothi$b S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMamatha$b D. 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Srujan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFavorskaya$b Margarita N$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418253003316 996 $aAdvances in Computational and Bio-Engineering$92084628 997 $aUNISA LEADER 01558nam 2200469I 450 001 9910709646903321 005 20180604152015.0 035 $a(CKB)5470000002471768 035 $a(OCoLC)1038532724 035 $a(EXLCZ)995470000002471768 100 $a20180604j198306 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMonolithic short wave infrared (SWIR) detector array $edesign trade study report 210 1$aGreenbelt, MD :$cGoddard Space Flight Center,$dJune 1983. 215 $a1 online resource (various pagings) $cillustrations 225 1 $aNASA/CR ;$v175284 300 $a"June 1983." 320 $aIncludes bibliographical references (pages R-1-R-2). 517 $aMonolithic short wave infrared 606 $aInfrared detectors$2nasat 606 $aArrays$2nasat 606 $aInfrared scanners$2nasat 606 $aRadiometers$2nasat 606 $aIntegrated circuits$2nasat 615 7$aInfrared detectors. 615 7$aArrays. 615 7$aInfrared scanners. 615 7$aRadiometers. 615 7$aIntegrated circuits. 712 02$aGoddard Space Flight Center, 712 02$aRadio Corporation of America.$bDavid Sarnoff Research Center, Princeton, N.J. 712 02$aBall Corporation.$bAerospace Systems Division. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910709646903321 996 $aMonolithic short wave infrared (SWIR) detector array$93481241 997 $aUNINA