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They can be determined by finding the intersection points between the inclined coal seam and the lower and upper influence boundary lines, respectively.
The dynamic length will be determined by finding the number of destinations that were visited by an individual on the majority of days that are similar to the day of his/her current activity.
In contrast, in a Type II neuron this threshold has to be determined by finding a separation of the phase space, dividing those trajectories evolving towards a stable fixed point and those following a larger excursion corresponding to firing.
From the fetched trajectories, the dynamic prediction length (i.e. length of the D-trajectory to be predicted) will be determined by finding the number of destinations that were visited by individual(x) on the majority of the selected historical days.
These amounts can then be determined by finding the maximum value of the two-dimensional cross-correlation between the Raman image I R and the adjusted DHM image I H, which corresponds mathematically to maximising the problem beta (boldsymbol alpha, boldsymbol{x_{0}}, theta) = max left{ C x, y) right}, quad C x, y) = R(theta) cdot I_{H} (alpha_{x} x, alpha_{y} y) star I_{ R} x y), (1).
This theoretical approach is general and does not depend on the particular dynamic of the elements forming the network, since the network topology can be determined by finding a Laplacian matrix (the matrix that describes the connections and the coupling strengths among the elements) whose eigenvalues satisfy some special conditions.
Similar(50)
Three-dimensional coordinates were determined by finding the corresponding points within the profilometric data set.
Then the optimal parameters of the sensor are determined by finding the minimum value of the response surface model.
The most common is the radius of gyration which is determined by finding the geographical centre of all the towers used and then taking the mean of the squares of all the distances from this centre to the towers.
A range of optimised absorption profiles were determined by finding the maximum permissible absorption within the stability limit of the system.
We then found all connected clusters in the binary image to use as candidates for cone locations, and eliminated weak candidates by removing any cluster whose maximum value in the filtered probability map is less than a threshold T. Finally, the locations of cones in the image are determined by finding the centers of the remaining clusters (Fig. 5(d)).
More suggestions(15)
be determined by studying
be determined by identified
be determined by evidence
be meant by finding
be sated by finding
be constructed by finding
be disrupted by finding
be done by finding
be bypassed by finding
be avoided by finding
be made by finding
be dominated by finding
be handled by finding
be tested by finding
be improved by finding
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com