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I believe significant value can be created from applying marketing technology to improve the digital capabilities of our core telecom business.
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Automated tissue segmentation masks were created from aligned T1 images applied to co-registered perfusion and BAT maps for both cortical and sub-cortical grey matter structures.
The vast majority of value created in business comes not from applying existing models, but from creating new models that do not now exist.
Maps of SOC, SIC, and TC contents based on the interpolated core samples were different from maps created by applying averaged core results or SSURGO values across the SMUs.
Models of the pressure field created from many sources will be applied to determine the effects of altering certain array parameters, such as the standoff distance and the source spacing, on the maximum pressure error and total acoustic power consumption.
A binary mask was created from the selected areas, and applied on the initial stack.
The annotations were assigned before the machine learning models were created from the training data or applied to the test data.
Spot border lines were created from a selected reference gel and applied to all gels.
To address potential bias created from missing data, multiple imputation was applied to primary and secondary outcome variables.
In the absence of a formal 'validation set' of samples in which to apply the algorithm created from the 'training set' of data, the Leave-One-Out Cross Validation technique was used.
It's created by applying a particular chemical process to organic tissue that removes every cell and DNA from the tissue.
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