LEADER 00930nam0-22003011i-450 001 990001649950403321 005 20190529131315.0 035 $a000164995 035 $aFED01000164995 035 $a(Aleph)000164995FED01 035 $a000164995 100 $a20030910d1965----km-y0itay50------ba 101 0 $aita 200 1 $aRevisione dei generi della famiglia Tarsonemidae (Acarina)$fRobert E. Beer, Alfio Nucifora 210 $aBologna$c...$d1965 215 $ap. 19-43$d24 cm 300 $aEstr. da: Bollettino di zoologia agraria e di bachicoltura, ser. 2,7,1965. 610 0 $aAcarina 676 $a595.42 700 1$aBeer,$bRobert E.$0353754 702 1$aNucifora,$bAlfio 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aLG 912 $a990001649950403321 952 $a60 OP. 68/31$b41496$fFAGBC 959 $aFAGBC 996 $aRevisione dei generi della famiglia Tarsonemidae (Acarina$9372587 997 $aUNINA LEADER 03822nam 22005895 450 001 9910919818503321 005 20250312003816.0 010 $a9789819784837$b(electronic bk.) 010 $z9789819784820 024 7 $a10.1007/978-981-97-8483-7 035 $a(MiAaPQ)EBC31859407 035 $a(Au-PeEL)EBL31859407 035 $a(CKB)37081497800041 035 $a(OCoLC)1493053199 035 $a(DE-He213)978-981-97-8483-7 035 $a(EXLCZ)9937081497800041 100 $a20241225d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Twin Computing for Urban Intelligence /$fedited by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (261 pages) 225 1 $aUrban Sustainability,$x2731-6491 311 08$aPrint version: Pourroostaei Ardakani, Saeid Digital Twin Computing for Urban Intelligence Singapore : Springer,c2025 9789819784820 327 $aEmbracing the Digital Twin Paradigm for Urban Sustainability -- Towards Sustainable Urban Rooftop Solar Energy Planning through Spatial Digital Twins Paradigm: A Systematic Literature Review -- Creating a Foundation for Spatial Digital Twins in Data-Scarce Regions through Open-Source Solutions -- Fusion of Digital Twin, Internet-of-Things and Artificial Intelligence for Urban Intelligence -- Building Resilient Smart Cities: The Role of Digital Twins and Generative AI in Disaster Management Strategy. 330 $aDigital Twin Computing for Urban Intelligence focuses on new and ongoing discourses in interdisciplinary research and practice in urban system and smart city development pathways. It approaches digital twin fundamentals and principals including theoretical foundations, conceptualisations, strategies and services/patterns to define and adapt digital twin solutions for urban applications - mainly sustainability. This book highlights promising case studies and outlines digital twin design models and system architecture by examining key digital twin deployment practices such as data analysis, decision making, and service automation in the line with intelligent urban planning. It also emphasises on DT technologies such as cloud computing, AI, IoTs, and smart virtualisation and outlines the key benefits of the DT solutions in urban applications - mainly control and planning. This book is intended for a wide range of audiences, including interested layperson audiences, undergraduate and graduate students in university, and researchers. The key benefits of this book are: 1- To introduce the theoretical principles and fundamentals of DT computing for urban intelligence. 2- To present the state-of-the-art DT technologies in urban planning and control. 3- To describe the practical deployment process of DT computing solutions for urban sustainability and intelligence. 410 0$aUrban Sustainability,$x2731-6491 606 $aEnvironmental geography 606 $aArtificial intelligence 606 $aSustainability 606 $aIntegrated Geography 606 $aArtificial Intelligence 606 $aSustainability 615 0$aEnvironmental geography. 615 0$aArtificial intelligence. 615 0$aSustainability. 615 14$aIntegrated Geography. 615 24$aArtificial Intelligence. 615 24$aSustainability. 676 $a910 700 $aPourroostaei Ardakani$b Saeid$01457785 701 $aCheshmehzangi$b Ali$0849626 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910919818503321 996 $aDigital Twin Computing for Urban Intelligence$94306475 997 $aUNINA