Sentence examples for model method of from inspiring English sources
On the MRBrainS13 data, the presented approach was at the time of submission the best ranked unsupervised intensity model method of the challenge (7th position) and clearly outperformed the other unsupervised pipelines such as FAST and SPM12.
This section presents the numerical predictions of the proposed mathematical model (method of solution is provided in the ESM appendix).
Firstly, we review the traditional IMPACT model method of estimation in detail, for both single and multiple treatments, specifically highlighting data needs.
To test this hypothesis, we used the probabilistic "urn model" method of Holst [ 43] as detailed in Shan et al. [ 44].
Possible effects of prophylactic treatment, farmer's perception of ticks on pastures and masl of pastures (as regression effect) on the flock's prevalence of infection, direct losses on summer pasture and weaning weight was analyzed using the General Linear Model method of the GLM procedure in SAS [ 24].
To calculate correlations between SNP allele frequencies and current and past climate variables, we used the Bayesian linear model method of Coop et al. (2010), which controls for population history by incorporating a covariance matrix of populations and accounts for differences in sample size between populations.
Modelling method of more difficult propulsion system parameters like propeller added water polar moment of inertia was presented.
A novel constitutive modeling method of defining hyperfoam strain energy function by a neural network is presented in this work.
The novel modeling method of support vector machine was then applied to model the possible quantitative relationship between selected descriptors and electric spark sensitivity.
Respiratory rates and purity-based signal quality indices were extracted from these waveforms using the AR modeling method of Section 2.4 and signal quality metrics of Section 2.3.
However, Carle and Fogg (1997) introduced continuous-lag Markov chain models, which were actually a joint modelling method of spatial transition probabilities for providing transition probability parameters to transition probability-based indicator geostatistics (TPROGS) (Carle and Fogg 1996).
