Results 311 to 320 of about 23,674,484 (362)
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Annual Review in Automatic Programming, 1985
Abstract A computer model for simulation of human respiration has been implemented in a desktop computer (HP 9845B) using BASIC. Artificial ventilation as well as spontaneous breathing can be simulated under different conditions with varying input data.
U. Aieronymi, H. Mrochen
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Abstract A computer model for simulation of human respiration has been implemented in a desktop computer (HP 9845B) using BASIC. Artificial ventilation as well as spontaneous breathing can be simulated under different conditions with varying input data.
U. Aieronymi, H. Mrochen
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Statistics and computing, 2015Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC) are methods for estimating pointwise out-of-sample prediction accuracy from a fitted Bayesian model using the log-likelihood evaluated at the posterior ...
Aki Vehtari, A. Gelman, Jonah Gabry
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Computability and Computable Models
2007The intuitive notion of computability was formalized in the XXth century, which strongly affected the development of mathematics and applications, new computational technologies, various aspects of the theory of knowledge, etc. A rigorous mathematical definition of computability and algorithm generated new approaches to understanding a solution to a ...
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Computational modeling of dendrites
Journal of Neurobiology, 2005AbstractComputational methods have been part of neuroscience for many years. For example, models developed with these methods have provided a theory that helps explain the action potential. More recently, as experimental patch‐electrode techniques have revealed new biophysics related to dendritic function and synaptic integration, computational models ...
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Computational Models of Neuromodulation
2012As neuromodulation therapy has grown, so has the recognition that computational models can provide important insights into the design, operation, and clinical application of neurostimulation systems. Models of deep brain stimulation and spinal cord stimulation have advanced over recent decades from simple, stereotyped models to sophisticated patient ...
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2021
The SEIIR model is a compartment model with five populations, the susceptible, exposed, symptomatic and asymptomatic infectious, and recovered groups S, E, Is , Ia and R. It characterizes infectious diseases with a significant group of individuals that remain asymptomatic upon infection, but can still infect others.
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The SEIIR model is a compartment model with five populations, the susceptible, exposed, symptomatic and asymptomatic infectious, and recovered groups S, E, Is , Ia and R. It characterizes infectious diseases with a significant group of individuals that remain asymptomatic upon infection, but can still infect others.
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Strategies for computer modeling
Bulletin of Mathematical Biology, 1986Modeling is a ubiquitous and often misunderstood enterprise in which data from diverse disciplines are analyzed by techniques from other diverse disciplines in an attempt to confirm or falsify a set of hypotheses about the real world. Guidelines are offered for designing models to match the goals of modeling biological systems.
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1988
Computer-based spatial models, representing the past and present disposition and configuration of sets of rock bodies, are a potentially important segment of a geological knowledge base. A spatial model is an interpretation that should be consistent with available data and with expectations based on knowledge of the processes which formed and deformed ...
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Computer-based spatial models, representing the past and present disposition and configuration of sets of rock bodies, are a potentially important segment of a geological knowledge base. A spatial model is an interpretation that should be consistent with available data and with expectations based on knowledge of the processes which formed and deformed ...
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Computational decompression models
International Journal of Bio-Medical Computing, 1987Early computational models for decompression are based on supersaturation assumptions for dissolved gases. Such models, and our understanding of decompression biophysics, have been extended in the past 20 years by analyses of phase separation of gases.
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Computational models of planning
WIREs Cognitive Science, 2013AbstractThe selection of the action to do next is one of the central problems faced by autonomous agents. Natural and artificial systems address this problem in various ways: action responses can be hardwired, they can be learned, or they can be computed from a model of the situation, the actions, and the goals.
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