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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
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Tveito Aslak
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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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 |
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Zhou Xuefeng
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| Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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