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Austenitic TRIP/TWIP Steels and Steel-Zirconia Composites : Design of Tough, Transformation-Strengthened Composites and Structures / / edited by Horst Biermann, Christos G. Aneziris
Austenitic TRIP/TWIP Steels and Steel-Zirconia Composites : Design of Tough, Transformation-Strengthened Composites and Structures / / edited by Horst Biermann, Christos G. Aneziris
Autore Biermann Horst
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XXVI, 829 p. 569 illus., 284 illus. in color.)
Disciplina 620.11
Collana Springer Series in Materials Science
Soggetto topico Structural materials
Metals
Ceramics
Glass
Composites (Materials)
Composite materials
Engineering—Materials
Mathematical models
Structural Materials
Metallic Materials
Ceramics, Glass, Composites, Natural Materials
Materials Engineering
Mathematical Modeling and Industrial Mathematics
Soggetto non controllato Structural Materials
Metallic Materials
Ceramics, Glass, Composites, Natural Materials
Materials Engineering
Mathematical Modeling and Industrial Mathematics
Metals and Alloys
Ceramics
Steel-Matrix Composite
Austenitic Stainless Steels
Powder Metallurgy
Fracture Toughness
Mechanical Modeling
Melt Flow Behavior
CrMnNi Steels
Ceramic Casting
Melt Infiltration
Open Access
Materials science
Structural engineering
Metals technology / metallurgy
Industrial chemistry & chemical engineering
Mathematical modelling
Maths for engineers
ISBN 3-030-42603-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto From the contents: Powder Metallurgy -- Steel Infiltration -- Steel Technology -- Electron Beam Welding -- Materials Testing -- Fracture Mechanics -- Microanalysis -- Thermodynamic Modelling -- Fluid Dynamics -- Continuum Mechanics -- Micromechanical Materials Modelling.
Record Nr. UNINA-9910404112903321
Biermann Horst  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Autore Tveito Aslak
Edizione [1st edition 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XVII, 100 p. 25 illus. in color.)
Disciplina 570.285
Collana Reports on Computational Physiology
Soggetto topico Bioinformatics
Cell physiology
Computational biology
Excitation (Physiology) - Mathematical models
Mathematical models
Soggetto non controllato Mathematical and Computational Biology
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics
applied mathematics
scientific computing
computational physiology
finite element methods
cardiac modelling
biomechanics
numerical methods
preconditioning
open access
Maths for scientists
Mathematical modelling
Maths for engineers
ISBN 3-030-61157-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index.
Record Nr. UNINA-9910424947903321
Tveito Aslak  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Autore Tveito Aslak
Edizione [1st edition 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XVII, 100 p. 25 illus. in color.)
Disciplina 570.285
Collana Reports on Computational Physiology
Soggetto topico Bioinformatics
Cell physiology
Computational biology
Excitation (Physiology) - Mathematical models
Mathematical models
Soggetto non controllato Mathematical and Computational Biology
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics
applied mathematics
scientific computing
computational physiology
finite element methods
cardiac modelling
biomechanics
numerical methods
preconditioning
open access
Maths for scientists
Mathematical modelling
Maths for engineers
ISBN 3-030-61157-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index.
Record Nr. UNISA-996466563303316
Tveito Aslak  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
Autore Zhou Xuefeng
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XVII, 137 p. 50 illus., 44 illus. in color.)
Disciplina 629.892
Soggetto topico Robotics
Automation
Statistics 
Control engineering
Mechatronics
Machine learning
Mathematical models
Robotics and Automation
Bayesian Inference
Control, Robotics, Mechatronics
Machine Learning
Mathematical Modeling and Industrial Mathematics
Soggetto non controllato Robotics and Automation
Bayesian Inference
Control, Robotics, Mechatronics
Machine Learning
Mathematical Modeling and Industrial Mathematics
Robotic Engineering
Control, Robotics, Automation
Collaborative Robot Introspection
Nonparametric Bayesian Inference
Anomaly Monitoring and Diagnosis
Multimodal Perception
Anomaly Recovery
Human-robot Collaboration
Robot Safety and Protection
Hidden Markov Model
Robot Autonomous Manipulation
open access
Robotics
Bayesian inference
Automatic control engineering
Electronic devices & materials
Machine learning
Mathematical modelling
Maths for engineers
ISBN 981-15-6263-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Robot Introspection -- Nonparametric Bayesian Modeling of Multimodal Time Series -- Incremental Learning Robot Complex Task Representation and Identification -- Nonparametric Bayesian Method for Robot Anomaly Monitoring -- Nonparametric Bayesian Method for Robot Anomaly Diagnose -- Learning Policy for Robot Anomaly Recovery based on Robot.
Record Nr. UNISA-996418268803316
Zhou Xuefeng  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
Autore Zhou Xuefeng
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XVII, 137 p. 50 illus., 44 illus. in color.)
Disciplina 629.892
Soggetto topico Robotics
Automation
Statistics 
Control engineering
Mechatronics
Machine learning
Mathematical models
Robotics and Automation
Bayesian Inference
Control, Robotics, Mechatronics
Machine Learning
Mathematical Modeling and Industrial Mathematics
Soggetto non controllato Robotics and Automation
Bayesian Inference
Control, Robotics, Mechatronics
Machine Learning
Mathematical Modeling and Industrial Mathematics
Robotic Engineering
Control, Robotics, Automation
Collaborative Robot Introspection
Nonparametric Bayesian Inference
Anomaly Monitoring and Diagnosis
Multimodal Perception
Anomaly Recovery
Human-robot Collaboration
Robot Safety and Protection
Hidden Markov Model
Robot Autonomous Manipulation
open access
Robotics
Bayesian inference
Automatic control engineering
Electronic devices & materials
Machine learning
Mathematical modelling
Maths for engineers
ISBN 981-15-6263-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Robot Introspection -- Nonparametric Bayesian Modeling of Multimodal Time Series -- Incremental Learning Robot Complex Task Representation and Identification -- Nonparametric Bayesian Method for Robot Anomaly Monitoring -- Nonparametric Bayesian Method for Robot Anomaly Diagnose -- Learning Policy for Robot Anomaly Recovery based on Robot.
Record Nr. UNINA-9910416119103321
Zhou Xuefeng  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui