01380nam0 22003253i 450 VAN0028902520250312015500.718N978303068844820250312d2021 |0itac50 baengCH|||| |||||i e bNon-coding RNAs at the Cross-Road of Cardiometabolic Diseases and CancerPaul HolvoetChamSpringer2021XXX, 265 p.ill.24 cmCHChamVANL001889576.5Genetica22612Fisiologia umana22HolvoetPaulVANV243786851128Springer <editore>VANV108073650ITSOL20250314RICAhttps://link.springer.com/book/10.1007/978-3-030-68844-8E-book - Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHEIT-CE0101VAN17NVAN00289025BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE17CONS e-book 189 17BIB189/185 185 20250312 Non-coding RNAs at the cross-road of cardiometabolic diseases and cancer1900325UNICAMPANIA03822nam 22005895 450 991091981850332120250312003816.09789819784837(electronic bk.)978981978482010.1007/978-981-97-8483-7(MiAaPQ)EBC31859407(Au-PeEL)EBL31859407(CKB)37081497800041(OCoLC)1493053199(DE-He213)978-981-97-8483-7(EXLCZ)993708149780004120241225d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDigital Twin Computing for Urban Intelligence /edited by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (261 pages)Urban Sustainability,2731-6491Print version: Pourroostaei Ardakani, Saeid Digital Twin Computing for Urban Intelligence Singapore : Springer,c2025 9789819784820 Embracing 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.Digital 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.Urban Sustainability,2731-6491Environmental geographyArtificial intelligenceSustainabilityIntegrated GeographyArtificial IntelligenceSustainabilityEnvironmental geography.Artificial intelligence.Sustainability.Integrated Geography.Artificial Intelligence.Sustainability.910Pourroostaei Ardakani Saeid1457785Cheshmehzangi Ali849626MiAaPQMiAaPQMiAaPQ9910919818503321Digital Twin Computing for Urban Intelligence4306475UNINA