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The optimization problem is solved to develop a final target prediction function to predict newly arriving target instances.
Based on a reference collection of characterization scores assigned by diverse life scientists, we trained a classification function to predict scores depending on functional annotations in the Entrez Gene database.
We first proposed a direction prediction scheme with a simple cosine function to predict the moving direction of UEs.
In addition, this model could be used for implant design development, to enhance knee function, to predict forces generated during other activities, and for predicting clinical outcomes.
To improve the numerical accuracy, we devise an extremum-locator (el) function to predict the local extremum when approaching the peak amplitude of the action potential.
A new surrogate function to predict the ultimate buckling load of Y-stiffener plate combination is created and validated using the values of the ultimate buckling loads calculated using nonlinear finite element analysis.
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clc-1 is predicted to function in epithelial cohesion.
The assignment of protein function to predicted coding regions was performed manually.
In this study different wavelets are applied as activation functions to predict the maximum surface settlement due to tunneling.
In this study, different wavelets are applied as activation functions to predict the porosity from well log data.
In this study, different wavelets are applied as activation functions to predict the permeability for well logging.
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