Run-time Adaptation of Mobile Applications using Genetic Algorithms

The structure of this paper is as follows. In Section 2, we introduce basic aspects of mobile agent technology, which is important for this work. In Section 3, we describe and model

We run kte-hide on our reference datasets of mobile sub- scriber trajectories, so that they are k τ,ǫ -anonymized. As the anonymized data are robust to probabilistic attacks by

In this work, we provide a new model to account for this time in the simple case of a WLAN formed by two APs where the second AP is switched on/off dynamically to adapt to the

Our study and the findings presented in this paper discuss the opportunities and challenges in dealing with multimodal wordless picture books which are used for German lessons to

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(hundreds of kHz). Resolution problems are directly related to the resulting accuracy of the computation, as it was seen in [18], so 32-bit floating point may not be appropriate