00934nam0 2200253 450 00003742420250305121043.020250305d1965----km-y0itay50------baitaITy-------001yy<<Le >>determinazioni economico-quantitative d'aziendaintroduzione, le determinazioni conoscitive di ricerca aziendale nei caratteri connaturali al loro oggettoGiovanni FerreroMilanoGiuffrè1965XI, 175 p.25 cm2001<<Le >>determinazioni economico-quantitative d'azienda428613AziendeEconomiaProduzione33823ProduzioneFerrero,Giovanni25694ITUNIPARTHENOPE20250305REICATUNIMARC000037424DISAE 512/4311496 ex St.Az.NAVA2Determinazioni economico-quantitative d'azienda428613UNIPARTHENOPE04463nam 22006975 450 991101177700332120250624130224.0978303192029510.1007/978-3-031-92029-5(CKB)39449949400041(MiAaPQ)EBC32176063(Au-PeEL)EBL32176063(OCoLC)1525622538(DE-He213)978-3-031-92029-5(EXLCZ)993944994940004120250624d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierProceedings of the International Conferences on Digital Technology Driven Engineering 2024 ADDitively Manufactured OPTimized Structures by means of Machine Learning (ADDOPTML) /edited by Nikos D. Lagaros, Savvas P. Triantafyllou, Rajai Z. Alrousan, Mohammad A. Alhassan, Khairedin M. Abdalla1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (453 pages)Lecture Notes in Civil Engineering,2366-2565 ;6469783031920288 Integration of 3D Printing and Machine Learning in Sustainable Construction Feasibility and Challenges -- Form finding and Automated Fabrication of GFRP Panels with Double Curvate for a Canopy Structure -- Enhancing the Mix Design in 3D Concrete Printing through Systematic Optimization Process -- The Flexural Behavior of Engineered Cementitious -- Composites ECC One Way 3D Printed Slabs made of Solid and Hollow Sections -- Characterizing Shape Changes in 4D Printed ABS Beams Under Thermal Stimuli -- Optimization of 3D Printing Parameters on Surface Roughness and Flatness of PLA Using Taguchi Design of Experiments -- Prediction of Layered Soil Permeability through Artificial Intelligence Optimization procedure -- Evaluating the Structural Performance of 3D Printed FRCC Beams with Anchoring Reinforcement Material Geometry and Loading Perspectives.This book gathers the latest advances, innovations, and applications in the field of engineering optimization and architectural design, presented at the 1st International Conference on ADDitively Manufactured OPTimized Structures by means of Machine Learning (ADDOPTML), held in Amman, Jordan, on October 1–4, 2024, jointly with conferences OPTARCH2024 and OPT-ii2024. It covers topics such as machine learning-based design manufacturing process for civil structures, additive manufacturing optimized structural elements, holistic machine learning aided, linear, nonlinear, stochastic, parametric, discrete and dynamic programming—modelling, hybrid methods with metaheuristics, machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, emergent nature-inspired algorithms such as quantum computing and artificial immune systems. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.Lecture Notes in Civil Engineering,2366-2565 ;646EngineeringData processingBuilding materialsMathematical optimizationIndustrial engineeringProduction engineeringData EngineeringStructural MaterialsOptimizationIndustrial and Production EngineeringEngineeringData processing.Building materials.Mathematical optimization.Industrial engineering.Production engineering.Data Engineering.Structural Materials.Optimization.Industrial and Production Engineering.620.00285Lagaros Nikos D1830101Triantafyllou Savvas P1830154Alrousan Rajai Z1830102Alhassan Mohammad A1830155Abdalla Khairedin M1738891MiAaPQMiAaPQMiAaPQBOOK9911011777003321Proceedings of the International Conferences on Digital Technology Driven Engineering 20244400448UNINA