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parameter sets

Evaluating climate model performance with various parameter sets using observations over the recent past

Evaluating climate model performance with various parameter sets using observations over the recent past

... climatic parameter sets, i.e. the first two digits of the parameter set ...cycle parameter set 1, half-filled symbols are for carbon cycle parameter set 2, and empty symbols are for ...

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Experimentally verified parameter sets for modelling heterogeneous neocortical pyramidal cell populations

Experimentally verified parameter sets for modelling heterogeneous neocortical pyramidal cell populations

... neuronal parameter with some plausibly chosen ...on parameter correla- tions in forms convenient for model ...the parameter statistics we obtained an algorithm which generates populations of model ...

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ZIP60: Further Explorations in the Evolutionary Design of Trader Agents and Online Auction Market Mechanisms

ZIP60: Further Explorations in the Evolutionary Design of Trader Agents and Online Auction Market Mechanisms

... The “ZIP” adaptive automated trading algorithm has been demonstrated to outperform human traders in experimental studies of continuous double auction (CDA) markets populated by mix- tures of human and “software robot” ...

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Investigating Prior Parameter Distributions in the Inverse Modelling of Water Distribution Hydraulic Models

Investigating Prior Parameter Distributions in the Inverse Modelling of Water Distribution Hydraulic Models

... roughness parameter estimates, their corresponding parameter and predictive ...the parameter space to the likelihood space results in the identification of plausible ranges of parameter ...

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On stochastic comparisons of energy functions with applications

On stochastic comparisons of energy functions with applications

... 6. Discussion. In this paper, inequalities and the use of the informational energy for statistical comparisons and inferences in terms of uncertainty of parameters and parameter sets is developed. For the ...

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A constraint based search algorithm for parameter identification of environmental models

A constraint based search algorithm for parameter identification of environmental models

... of parameter and process constraints is defined for each of the three landscape entities, based on the expert ...knowledge. Parameter constraints are considered to be a pri- ori because they can be imposed ...

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Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding

Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding

... nine parameter sets that matched the hydrograph and associated SNOTEL station SWE ob- servations equally well ...same sets also exhibited divergent parame- ter values for several different soil and ...

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A  Comparison  of  NTRU  Variants

A Comparison of NTRU Variants

... While it is dicult to compare the precise KEMs that were submitted to NIST, there are KEMs in the span of the three submissions that are easy to compare. Here we consider variants of NTRU-HRSS-KEM and NTRUEncrypt that ...

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Simulations and Modelling for Biological Invasions

Simulations and Modelling for Biological Invasions

... Typically, 97% is considered a standard for clustering identity thresholds (see Edgar 2013). Through optimization, we found that 99% clustering identity performed better for zooplankton using the 18S V4 fragment. There ...

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An approach to identify time consistent model parameters: sub period calibration

An approach to identify time consistent model parameters: sub period calibration

... of parameter sets that reflect a “realis- tic” model ...selects parameter sets that provide a consistent model perfor- mance in ...selecting parameter sets that are as close as ...

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SEHR-ECHO v1.0: a Spatially Explicit Hydrologic Response model for ecohydrologic applications

SEHR-ECHO v1.0: a Spatially Explicit Hydrologic Response model for ecohydrologic applications

... different parameter sets for each spatial unit, whereas semi-lumped implies some degree of spatial discretization but with a single parameter set and generally without flow routing through the ...

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Experimental and biological variability in CFSE-based flow cytometry data

Experimental and biological variability in CFSE-based flow cytometry data

... basic parameter estimation scheme in which only data from Days 1 through 3 were ...the parameter estimates obtained using three-day data sets and those obtained using complete data ...

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Spatio temporal modelling of Leishmania infantum infection among domestic dogs: a simulation study and sensitivity analysis applied to rural Brazil

Spatio temporal modelling of Leishmania infantum infection among domestic dogs: a simulation study and sensitivity analysis applied to rural Brazil

... Developing and parameterising an original mathemati- cal framework in the face of limited data has its restric- tions. First, we acknowledge that our findings are likely to be sensitive to the biomass-linked assumption ...

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Cardiovascular modelling and the Intensive Care Unit clinician

Cardiovascular modelling and the Intensive Care Unit clinician

... We developed such a minimal CVS model, which is a lumped parameter model of 6-8 elastic chambers. The original model has been extended (Chase et al., 2010, Smith et al., 2004, Smith et al., 2006, Starfinger et ...

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More on vague sets

More on vague sets

... fuzzy sets is a strong mathematical tool to deal with the ...fuzzy sets. Gau and Buehrev (1993) introduced the concept of vague sets and it was shown that a vague set is more expressive in capturing ...

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Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum

Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum

... G(u, v) = H(u,v) · F(u, v) + W(u, v). (13) Since noise is a random parameter, its e ff ect on pixels of a dark line is di ff erent. The question is which pixels belong to the disappeared dark lines. In log( | G(u, ...

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A Knowledge Measure with Parameter of Intuitionistic Fuzzy Sets

A Knowledge Measure with Parameter of Intuitionistic Fuzzy Sets

... with parameter of intuitionistic fuzzy sets (IFSs) is presented based on the membership degree and the non-membership degree of IFSs, which complies with the extended form of Szmidt-Kacprzyk axioms for ...

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Bouncing, Sliding and Rolling Dynamics

of a Spherical Rover Crossing a Ravine

Bouncing, Sliding and Rolling Dynamics of a Spherical Rover Crossing a Ravine

... The following studies examine the tumbleweed rover’s behavior while encounter- ing a deep valley. Consider a valley defined by the terrain parameters [β = 25 ◦ , θ = 25 ◦ , dh = −30m, pl = 90m]. Assume the tumbleweed ...

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I- sets and C- sets

I- sets and C- sets

... We have that an intuitionistic fuzzy topological space can be associated with two fuzzy topological spaces and vice versa [1]. . If (X, 𝜏) is an IFTS and 𝜏₁= { μₐ / ∃ γₐ ∊ Iˣ such that (μₐ , γₐ) ∊ 𝜏 }, 𝜏₂ = { 1- γₐ / ∃ ...

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An Approach to Achieving K-partition for Preserving Privacy by Using Multi-constraint Anonymous Parameter Based on Rough Sets

An Approach to Achieving K-partition for Preserving Privacy by Using Multi-constraint Anonymous Parameter Based on Rough Sets

... Taorong Qiu received the Ph.D degree in computer application technology from Beijing Jiaotong University, Beijing, China, in 2009. Currently, he serves as a professor with the Department of Computer, Nanchang University. ...

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