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Empowering Materials Processing and Performance from Data and AI
| Empowering Materials Processing and Performance from Data and AI |
| Autore | Chinesta Francisco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (156 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
plasticity
machine learning constitutive modeling manifold learning topological data analysis GENERIC soft living tissues hyperelasticity computational modeling data-driven mechanics TDA Code2Vect nonlinear regression effective properties microstructures model calibration sensitivity analysis elasto-visco-plasticity Gaussian process high-throughput experimentation additive manufacturing Ti-Mn alloys spherical indentation statistical analysis Gaussian process regression nanoporous metals open-pore foams FE-beam model data mining mechanical properties hardness principal component analysis structure-property relationship microcompression nanoindentation analytical model finite element model artificial neural networks model correction feature engineering physics based data driven laser shock peening residual stresses data-driven multiscale nonlinear stochastics neural networks |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557717703321 |
Chinesta Francisco
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Integration and Control of Distributed Renewable Energy Resources
| Integration and Control of Distributed Renewable Energy Resources |
| Autore | Nazaripouya Hamidreza |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (148 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
distribution system
microgrids power quality power system management power system reliability smart grids distribution networks Monte Carlo simulations PV hosting capacity photovoltaics green communities energy independence HOMER wind turbines power losses power system optimization PV curves DG TSA/SCA solar-powered electric vehicle parking lots different PV technologies PLO's profit uncertainties smart grid paradigm distributed generation model-based predictive control robustness worst-case scenario min-max optimisation intraday forecasting Gaussian process regression machine learning off-grid system composite control strategy solar photovoltaic panel wind turbine diesel generator energy storage system (ESS) synchronous machine (SM) permanent magnet brushless DC machine (PMBLDCM) power quality improvement |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566463203321 |
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Nazaripouya Hamidreza
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Kernel Mode Decomposition and the Programming of Kernels / Houman Owhadi, Clint Scovel, Gene Ryan Yoo
| Kernel Mode Decomposition and the Programming of Kernels / Houman Owhadi, Clint Scovel, Gene Ryan Yoo |
| Autore | Owhadi, Houman |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | x, 118 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Scovel, Clint
Yoo, Gene Ryan |
| Soggetto topico |
68T10 - Pattern recognition, speech recognition [MSC 2020]
62J02 - General nonlinear regression [MSC 2020] 62-XX - Statistics [MSC 2020] 62G07 - Density estimation [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Additive models
Empirical mode decomposition Gaussian process regression Kernel methods Time-frequency decomposition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274859 |
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Owhadi, Houman
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Modeling and Simulation of Metallurgical Processes in Ironmaking and Steelmaking
| Modeling and Simulation of Metallurgical Processes in Ironmaking and Steelmaking |
| Autore | Echterhof Thomas |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
liquid metals
bubble generation bubble size distribution porous plugs bubble deformation drag force lift force mathematical modelling computational fluid dynamic slag heat recovery heat exchanger drying slag energy content heat recovery technology RecHeat rotary kiln reduction process numerical simulation pre-reduction scrap preheating electric arc furnace continuous charging turbulence modelling RANS/LES/DNS inflow condition model validation model application energy demand regression artificial neural network Gaussian process regression Köhle formula evaluation model quantitative relationship scrap melting mass transfer coefficient steelmaking process direct current arc impingement arc gap gas density electric arc magneto hydrodynamics computational fluid dynamics real-time model estimation model predictive control steel refining mathematical modeling carbon composite briquette blast furnace ironmaking reaction kinetics coke saving direct reduction Midrex HYL Rist diagram energy consumption profile optimization modelling machine learning steelmaking fuzzy modelling evolving modelling continuous casting near net shape casting twin roll (Bessemer) casting horizontal single belt casting |
| ISBN | 3-0365-5154-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619471103321 |
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Echterhof Thomas
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensor Networks in Structural Health Monitoring: From Theory to Practice
| Sensor Networks in Structural Health Monitoring: From Theory to Practice |
| Autore | Chatzi Eleni |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (164 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
probabilistic data-interpretation
Bayesian model updating error-domain model falsification iterative asset-management practical applicability computation time swarm-based parallel control (SPC) Internet of Things (IoT) soil-structure interaction (SSI) semi-active control adjacent buildings Bayesian inference model updating modal identification structural dynamics bridges sensor placement optimisation structural health monitoring damage identification mutual information evolutionary optimisation inertial sensor fusion instrumented particle MEMS sediment entrainment sensor calibration frequency of entrainment varying environmental and operational conditions damage detection and localization Gaussian process regression autoregressive with exogenous inputs distributed sensor network mode shape curvatures |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sensor Networks in Structural Health Monitoring |
| Record Nr. | UNINA-9910557504303321 |
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Chatzi Eleni
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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