LEADER 04070nam 22007455 450 001 996466183403316 005 20200706072844.0 010 $a3-030-37429-7 024 7 $a10.1007/978-3-030-37429-7 035 $a(CKB)4100000010121583 035 $a(DE-He213)978-3-030-37429-7 035 $a(MiAaPQ)EBC6026558 035 $a(PPN)242844820 035 $a(EXLCZ)994100000010121583 100 $a20200120d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHuman Centered Computing$b[electronic resource] $e5th International Conference, HCC 2019, ?a?ak, Serbia, August 5?7, 2019, Revised Selected Papers /$fedited by Danijela Milo?evi?, Yong Tang, Qiaohong Zu 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXII, 709 p. 358 illus., 229 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11956 311 $a3-030-37428-9 320 $aIncludes bibliographical references and index. 327 $aHuman Centered Computing -- Hyperconnectivity -- Internet of Things -- Mobile Computing -- Mobile Communication -- Wireless Network, -- Semantic Technologies -- IoT applications, -- Smart Environment -- Smart City -- Smart supply chain, -- Pervasive Collaboration -- Collective Intelligence. Context Awareness -- Smart/Mobile Application in Healthcare -- Web society. 330 $aThis book constitutes thoroughly reviewed, revised and selected papers from the 5th International Conference on Human Centered Computing, HCC 2019, held in ?a?ak, Serbia, in August 2019. The 48 full and 23 short papers presented in this volume were carefully reviewed and selected from a total of 133 submissions. The papers focus on deep learning and its applications on a variety of real-life problems, ranging from image/video analysis, to human-computer interaction, and to logistics and supply chain management. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11956 606 $aComputer communication systems 606 $aOptical data processing 606 $aArchitecture, Computer 606 $aMachine learning 606 $aDatabase management 606 $aData mining 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputer System Implementation$3https://scigraph.springernature.com/ontologies/product-market-codes/I13057 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aComputer communication systems. 615 0$aOptical data processing. 615 0$aArchitecture, Computer. 615 0$aMachine learning. 615 0$aDatabase management. 615 0$aData mining. 615 14$aComputer Communication Networks. 615 24$aImage Processing and Computer Vision. 615 24$aComputer System Implementation. 615 24$aMachine Learning. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 676 $a004.019 702 $aMilo?evi?$b Danijela$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTang$b Yong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZu$b Qiaohong$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466183403316 996 $aHuman Centered Computing$91896714 997 $aUNISA LEADER 01140nam a2200325 i 4500 001 991001185709707536 005 20020507184833.0 008 951115s1982 de ||| | eng 020 $a3540115684 035 $ab10812696-39ule_inst 035 $aLE01308380$9ExL 040 $aDip.to Matematica$beng 082 0 $a510 082 0 $a512.7 084 $aAMS 11-06 084 $aAMS 11-XX 100 1 $aAlladi, Krishnaswami$057309 245 10$aNumber theory :$bproceedings of the Third Matscience Conference, Mysore, India, June 3-6, 1981 /$cedited by K. Alladi 260 $aBerlin :$bSpringer-Verlag,$c1982 300 $aix, 177 p. ;$c24 cm. 490 0 $aLecture notes in mathematics,$x0075-8434 ;$v938 500 $aIncludes bibliographies. 500 $aIncludes index 650 4$aNumber theory$xCongresses 907 $a.b10812696$b23-02-17$c28-06-02 912 $a991001185709707536 945 $aLE013 11-XX ALL11 (1982)$g1$i2013000039954$lle013$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i1091836x$z28-06-02 996 $aNumber theory$9924833 997 $aUNISALENTO 998 $ale013$b01-01-95$cm$da $e-$feng$gde $h0$i1 LEADER 03292nam 2200457 450 001 9910555138503321 005 20221107213101.0 010 $a1-119-34194-9 010 $a1-119-34193-0 010 $a1-119-34190-6 035 $a(CKB)4100000000981088 035 $a(MiAaPQ)EBC5407304 035 $a(OCoLC)1037017545 035 $a(CaSebORM)9781119341925 035 $a(EXLCZ)994100000000981088 100 $a20180618d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBuilding performance analysis /$fPieter de Wilde 205 $a1st edition 210 1$aHoboken, NJ :$cWiley Blackwell,$d2018. 215 $a1 online resource (618 pages) 311 1 $a9781119341925 311 1 $a1-119-34192-2 320 $aIncludes bibliographical references and index. 330 $aExplores and brings together the existent body of knowledge on building performance analysis Building performance is an important yet surprisingly complex concept. This book presents a comprehensive and systematic overview of the subject. It provides a working definition of building performance, and an in-depth discussion of the role building performance plays throughout the building life cycle. The book also explores the perspectives of various stakeholders, the functions of buildings, performance requirements, performance quantification (both predicted and measured), criteria for success, and the challenges of using performance analysis in practice. Building Performance Analysis starts by introducing the subject of building performance: its key terms, definitions, history, and challenges. It then develops a theoretical foundation for the subject, explores the complexity of performance assessment, and the way that performance analysis impacts on actual buildings. In doing so, it attempts to answer the following questions: What is building performance? How can building performance be measured and analyzed? How does the analysis of building performance guide the improvement of buildings? And what can the building domain learn from the way performance is handled in other disciplines? Assembles the current body of knowledge on building performance analysis in one unique resource Offers deep insights into the complexity of using building performance analysis throughout the entire building life cycle, including design, operation and management Contributes an emergent theory of building performance and its analysis Building Performance Analysis will appeal to the building science community, both from industry and academia. It specifically targets advanced students in architectural engineering, building services design, building performance simulation and similar fields who hold an interest in ensuring that buildings meet the needs of their stakeholders 606 $aEdificis$xCpmportament$2lemac 606 $aBuildings$xPerformance 615 7$aEdificis$xCpmportament 615 0$aBuildings$xPerformance. 700 $aDe Wilde$b P$g(Pieter),$f1980-$01263381 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555138503321 996 $aBuilding performance analysis$92960962 997 $aUNINA