Results 281 to 290 of about 24,485,484 (328)
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Hybrid Model of Erythropoiesis
Acta Biotheoretica, 2013A hybrid model of cell dynamics is presented. It is illustrated by model examples and applied to study erythropoiesis (red blood cell production). In this approach, cells are considered as discrete objects while intra-cellular proteins and extra-cellular biochemical substances are described with continuous models. Spatial organization of erythropoiesis
P, Kurbatova, N, Eymard, V, Volpert
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Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Applied Energy, 2018Mathematical modeling and simulation methods are important tools in studying various processes in science and engineering. In the current review, we focus on the applications of hybrid models (HMs) in chemical processes, oil and gas processes, and ...
S. Zendehboudi, N. Rezaei, A. Lohi
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2016
Chapter 11 discusses hybrid models, considering electrons as a fluid and following ions as particles.
Taccogna F, Minelli P
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Chapter 11 discusses hybrid models, considering electrons as a fluid and following ions as particles.
Taccogna F, Minelli P
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Hybrid Modeling in Computational Neuropsychiatry
Pharmacopsychiatry, 2008The aim of building mathematical models is to provide a formal structure to explain the behaviour of a whole in terms of its parts. In the particular case of neuropsychiatry, the available information upon which models are to be built is distributed over several fields of expertise.
Marin-Sanguino, A., Mendoza, E.
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Physical and hybrid models: hybrid models
2010The complexity of the circulatory system makes its analysis very difficult or sometimes impossible in clinical environment. Moreover, external actions such as mechanical circulatory or ventilatory assistance applied in cases of cardiovascular insufficiency cause the situation to be even more difficult to be analyzed.
Kozarski Maciej +4 more
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2010
The modeling practices of constraint programming (CP), artificial intelligence, and operations research must be reconciled and integrated if the computational benefits of combining their solution methods are to be realized in practice. This chapter focuses on CP and mixed integer/linear programming (MILP), in which modeling systems are most highly ...
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The modeling practices of constraint programming (CP), artificial intelligence, and operations research must be reconciled and integrated if the computational benefits of combining their solution methods are to be realized in practice. This chapter focuses on CP and mixed integer/linear programming (MILP), in which modeling systems are most highly ...
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A Novel Parallel Hybrid Model Based on Series Hybrid Models of ARIMA and ANN Models
Neural Processing Letters, 2022Z. Hajirahimi, M. Khashei
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2014
Enterprise Interoperability can be identified on cultural, rule, process, data, software, object, social network, services, knowledge, electronic ID, cloud, and ecosystem level, whereas the challenge is the conceptual integration across those layers in a flexible way.
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Enterprise Interoperability can be identified on cultural, rule, process, data, software, object, social network, services, knowledge, electronic ID, cloud, and ecosystem level, whereas the challenge is the conceptual integration across those layers in a flexible way.
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Water resources management, 2021
F. Ahmadi, S. Mehdizadeh, B. Mohammadi
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F. Ahmadi, S. Mehdizadeh, B. Mohammadi
semanticscholar +1 more source
2002
The modeling and simulation of physical systems is of key importance in many areas of science and engineering, and thus can benefit from high-quality software tools. In previous research we have demonstrated how functional programming can form the basis of an expressive language for causal hybrid modeling and simulation. There is a growing realization,
Henrik Nilsson +2 more
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The modeling and simulation of physical systems is of key importance in many areas of science and engineering, and thus can benefit from high-quality software tools. In previous research we have demonstrated how functional programming can form the basis of an expressive language for causal hybrid modeling and simulation. There is a growing realization,
Henrik Nilsson +2 more
openaire +1 more source