Sentence examples for predictions using only from inspiring English sources

This paper shows how artificial neural networks can be trained to make electrospinning predictions using only commonly available prior knowledge of the polymer and solvent.

Instead of making predictions using only the bin magnitudes, the complex domain ODF [18] attempts to improve the prediction for the next value of a given bin using combined magnitude and phase information.

Furthermore the comparisons to the modeling predictions using only a single prompt-NO precursor, CH, indicate a reasonable plausibility that (an) additional prompt-NO precursor (s) exist and become important when considering fuels larger than methane, especially under rich flame conditions.

Our predictions, using only the properties of previously discovered exoplanets, accord well with external estimates for the discovery of the first potentially habitable extrasolar planet and highlight the the usefulness of predictive scientometric techniques to understand the pace of scientific discovery in many fields.

Regression coefficients for genomic predictions using only the line itself as training data were similar to those for EBV from pedigree-based BLUP.

Thus, unless specifically indicated, we made predictions using only domains that were not observed in the query protein, i.e., excluding the common domains.

The main advantage of our procedure is that, despite obtaining a low number of predicted GO terms, they are related to the terms inside of each module, while the PPI predictions use only one PPAN (in this case the M. genitalium) and, then, the predicted GO terms have lower similarity values than do our predictions.

Compared to a FE model prediction using only elastic contribution to reversible strain the actual springback will be larger.

We constructed logistic regression models for DDI prediction using only 2D structural similarities between each Dq and the drugs in the network of De.

For example, given the smooth and periodic behavior of the annual flu cases (see Figure 2) even a prediction using only offline data seems feasible.

They evaluated the prediction performance of each feature category using multiple learning algorithms and reported an accuracy of 55% for gender prediction and 24% for age prediction using only isolated link features.