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As the products pictured on the front page of this section demonstrate, the watchword is texture -- pure if often not so simple.
The results in this section demonstrate the application of automated change detection techniques to STEM videos.
Our results in this section demonstrate that, under the hypotheses (3.6) and (3.7), has the properties given in (3.3a), (3.3b), and (3.3c).
The results of this section demonstrate that the fractal/multifractal analysis predicts correctly the evolution of metastatic melanoma in 83.3 % (20 in 24) of the cases, giving results compatible with the treatment outcome data.
The results in this section demonstrate that k-means-ANFIS models are superior to those in the literatures under the condition when real-time predicting is required for WTP which has big fluctuation of raw water quality throughout a year.
The applications presented in this section demonstrate how the command line programs have been successfully used to support therapeutic project teams in various aspects of drug discovery at Genentech.
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This section demonstrates the algorithm's operation on the synthetic data described in the previous section.
Observations on each technique discussed in this section demonstrates that each has strengths and weaknesses.
This section demonstrates the results and observations of the proposed SPAWN.
This section demonstrates by example how the NCRAWL framework allows for easy implementation of scheduling algorithms.
This section demonstrates the proposed algorithm GIMME with a small real-world example.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com