Sentence examples for more simplistic methods from inspiring English sources
More simplistic methods, which may be well-tailored for species identification, smooth out the differences that should be detected and will fail in the within-species analysis.
As the complexity of progressive biomechanical simulation increases, research is being undertaken to determine if more simplistic methods may now be considered for the robust and accurate portrayal of general bone behaviour and fracture prediction.
However, there are other more simplistic methods that may be used to estimate the parameters of a PSG.
4) To further justify the Hill function form of MCF, we have used data from FACS analysis to compare it to more simplistic methods.
There has been controversy over the use of some of the more simplistic methods of assessment[ 6], as little research has been performed regarding their accuracy and their ability to discriminate between the types of balding (vertex, frontal, and combination of vertex and frontal).
On simulated data, we first quantify the theoretical advantage of our method over a more simplistic JR based method for estimating processing event frequencies.
Over the past three decades, researchers have also employed more simplistic image analysis routines such as the nested squares method (NSM) and the perimeter method (PM), which directly determine the D f of aggregates from their two-dimensional images.
The use of more simplistic models of nucleotide substitution for both concatenation and species tree reconstruction methods leads to the artefactual grouping of turtles and crocodiles, most likely because of substitution saturation at third codon positions.
This study showed that the method resulted in clearly better models than obtained with more simplistic approaches to deal with irregular measurement interval.
Through experiments on real and simulated data, we assess the accuracy of the estimates from our method and demonstrate its theoretically predicted advantage over a more simplistic junction-read (JR) approach that does not make full use of the data.
Then, a simulation of the human visual system (HVS) is carried out, from simplistic methods as smoothing of the image by a local neighborhood to more complex methods, e.g. using contrast sensitivity functions (CSFs).
