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By applying a robust approach based upon an iterative, weighted, cost-minimization algorithm known as stress-majorization [18, 19], it is shown that a cluster of sensor nodes can be efficiently localized in the absence of complete pairwise distance measurements.
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This design has improved upon previously reported work by applying a more robust sensor system in a challenging flow-channel environment that more closely resembles industrial desalination units.
Normalization of raw data was performed by the Array Assist®Software 4.0 (Stratagene, La Jolla, Canada), applying a robust multichip average algorithm with correction for guanine and cytosine content.
Disturbances of imaging performance are largely corrected by applying a simple and robust autofocusing algorithm followed by an image registration routine on DHM phase images.
To overcome these inaccuracies, we make the algorithm more robust by applying a double consistency approach.
The entire error treatment mechanism is then placed in the context of robust estimation by applying a Huber weighting scheme to mitigate the effects of outliers (Constable, 1988; Walker and Jackson, 2000; Olsen, 2002).
We show that redescending M-estimator can be designed by applying a global minimax criterion to locally robust estimators, namely maximizing over a class of densities the minimum variance sensitivity over a class of estimators.
It has been reported recently that imperceptible and robust audio watermarking can be achieved by applying a cascade of two different transforms on the original audio signal.
By applying a stringent threshold induction ratio of 3-fold, we restricted the analysis to genes with a robust transcriptional induction in mycorrhizal roots.
Finish up by applying a facial moisturizer.
Start by applying a BB cream.
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