03764nam 22006975 450 99646644260331620200701105638.03-030-26773-310.1007/978-3-030-26773-5(CKB)4100000009076274(DE-He213)978-3-030-26773-5(MiAaPQ)EBC5921772(PPN)254875823(EXLCZ)99410000000907627420190724d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierModeling Decisions for Artificial Intelligence[electronic resource] 16th International Conference, MDAI 2019, Milan, Italy, September 4–6, 2019, Proceedings /edited by Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XIX, 357 p. 201 illus., 43 illus. in color.) Lecture Notes in Artificial Intelligence ;116763-030-26772-5 Includes bibliographical references and index.This book constitutes the refereed proceedings of the 16th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2019, held in Milan, Italy, in September 2019. The 30 papers presented in this volume were carefully reviewed and selected from 50 submissions. They discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: aggregation operators and decision making; data science and data mining; and data privacy and security. .Lecture Notes in Artificial Intelligence ;11676Artificial intelligenceData miningMathematical logicInformation storage and retrievalMathematical statisticsArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Artificial intelligence.Data mining.Mathematical logic.Information storage and retrieval.Mathematical statistics.Artificial Intelligence.Data Mining and Knowledge Discovery.Mathematical Logic and Formal Languages.Information Storage and Retrieval.Probability and Statistics in Computer Science.006.3Torra Vicençedthttp://id.loc.gov/vocabulary/relators/edtNarukawa Yasuoedthttp://id.loc.gov/vocabulary/relators/edtPasi Gabriellaedthttp://id.loc.gov/vocabulary/relators/edtViviani Marcoedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466442603316Modeling Decisions for Artificial Intelligence772296UNISA03277nam 22006015 450 991100146040332120250430130233.03-031-84136-010.1007/978-3-031-84136-1(CKB)38672111500041(DE-He213)978-3-031-84136-1(MiAaPQ)EBC32063893(Au-PeEL)EBL32063893(EXLCZ)993867211150004120250430d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierStructural Behaviour and Innovation of Recycled Aggregate Concrete RILEM Technical Committee 273-RAC _ Volume 1 /edited by Jianzhuang Xiao, Yamei Zhang, Amardeep Singh, Zengfeng Zhao1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (XXVIII, 253 p. 160 illus., 89 illus. in color.) RILEM State-of-the-Art Reports,2213-2031 ;413-031-84135-2 Chapter 1. Properties of recycled aggregates and related specifications -- Chapter 2 New technology to improve the properties of Recycled Aggregate Concrete -- Chapter 3 Mix proportion design method of RAC and properties of fresh RA -- Chapter 4 Constitutive relationships of Recycled Aggregate Concrete -- Chapter 5 Long-term properties of RAC and its product.This book presents the work of the RILEM Technical Committee 273-RAC on Structural Behaviour and Innovation of Recycled Aggregate Concrete. It provides the guidelines on the changes in the properties of recycled aggregates and how the different countries manage the use of recycled aggregates in construction work. As such, it helps researchers understand some new technologies to improve the qualities of RAC and the enhancement of RAC. Various mixing approaches adopted by the mixing approach, mixture proportioning for RAC using Compressible Packing Model, Particle Packing Method of mix proportioning for RAC and a rational mix design method for RAC are proposed. Further evaluation of the stress-strain relationship and bond behavior of RAC is explored in these guidelines. The current volume focuses on "Material Properties".RILEM State-of-the-Art Reports,2213-2031 ;41ConcreteBuilding materialsSustainabilityConcreteStructural MaterialsSustainabilityConcrete.Building materials.Sustainability.Concrete.Structural Materials.Sustainability.691.3Xiao Jianzhuangedthttp://id.loc.gov/vocabulary/relators/edtZhang Yameiedthttp://id.loc.gov/vocabulary/relators/edtSingh Amardeepedthttp://id.loc.gov/vocabulary/relators/edtZhao Zengfengedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9911001460403321Structural Behaviour and Innovation of Recycled Aggregate Concrete4377622UNINA