Optimizing mobile applications by exploiting variability models at runtime

In this work, we demonstrate that it is possible to make PMC prediction models aware of the manufacturing variability and accurately predict the socket and application specific

Also, one can verify that this money has been used to really offset the carbon emissions since project related feedback will be handed over to every user.. The different

This article described a detailed approach to the analysis carried out by the hip team and its medical IT col- laborators to develop a customized titanium implant that allowed

In this file we can find the two functions that are going to be constantly used for the application to play and stop the different vibrations when the user touches the screen and the

Minimum seepage losses of the rectangular, triangular and trapezoidal canal sections are calculated by using both algorithms and results are given in the tables 2, 3 and

Besides ensemble methods, another paradigm that can be used to consider differ- ent models or different values for the model parameters is Bayesian machine learning. Therefore, it

The tree representation obtained is used by this module to generate a set of rules (S g ) that represent the information to be translated and what structures inside the page will

In a context different from robotics, the DiVA Project 3 proposes to lever- age models both at design-time and runtime (models@runtime) to support the dynamic adaptation of