The study of animal behavior using smartphones requires the storage of many high frequency variables from a large number of individuals and their processing through various relevant variables combinations for modeling and decision-making.
Such discrepancies could (at least partly) be attributable to the higher experimental error inherent to NPQ800 measurements (see in Table 4 and Figure 8b the large standard deviations among the 3 experimental replicates of the random combinations tested for model validation: on average, RSD = 19.7% for NPQ800 and ≤9.0% for the other responses).
Landsat 8 Operational Land Imager satellite data and airborne laser scanning data were evaluated separately and in combination for modeling soil organic carbon, above ground tree biomass and below ground tree biomass.
The purpose of the current study was to compare the usefulness of Landsat 8 OLI data and ALS data, separately and in combination, for modeling of SOC, AGB and BGB in the Miombo woodlands of Tanzania.
One possibility is to upload a number of patch combinations for the model representing some more important configurations.
Table 2 Input combinations for the developed models Model Input combinations Output variable 1 H t Q t 2 H t, Q t−1 Q t 3 H t−1, H t, Q t−1 Q t 4 H t−1, H t, Q t−2, Q t−1 Q t 5 H t−2, H t−1, H t, Q t−2, Q t−1 Q t.
The detailed analysis, based on the Owens Wendt and van Oss Good methods and various combinations of model liquids for the measurements of the wetting angle values, revealed that the surface free energy of cationomer coatings was higher than that of linear polyurethanes with similar chemical compositions.
Applying the above functions, all model parameters of Equations 1 and 2 can be expressed by linear combinations of model parameters defined for each terminal node.
Numerical comparison of activation patterns is made with two different combinations of models for the coupled Purkinje network/myocardium system, the eikonal/eikonal and the monodomain/monodomain models.
Instead, we employed an extensive multi-parameter sampling approach, where a large set of random parameter combinations was chosen for model simulations.
