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Genetic Algorithms have been used from 1989 for both Neural Network training and design. Nevertheless, the use of a Genetic Algorithm for adjusting the Neural Network parameters can still be engaging. This work presents the study and validation of a different approach to this matter by introducing a Genetic Algorithm designed for Neural Network training. This algorithm features a mutation operator...
The H1N1 influenza A 2009 pandemic caused a global concern as it has killed more than 18,000 people worldwide so far. Studies that have found cross-neutralizing antibodies between the 1918 and 2009 pandemic flu elicit a basis of pre-existing immunity against the 2009 H1N1 virus in old population. The cross-reactivity occurs due to conserved antigenic epitopes shared between the two pandemic viruses...
Distributed software systems are characterized by increasing autonomy. They often have the capability to sense the environment and react to it, discover the presence of other systems and take advantage of their services, adapt and re-configure themselves in accordance with the internal as well as the global state. Testing this kind of systems is challenging, and systematic and automated approaches...
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