The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
To cope with the increasing demand for higher computational power and flexibility, dynamically reconfigurable blocks become an important part inside a system-on-chip. Several meth...
Antti Pelkonen, Kostas Masselos, Miroslav Cup&aacu...
The current technologies have made it possible to execute parallel applications across heterogeneous platforms. However, the performance models available do not provide adequate m...
Jameela Al-Jaroodi, Nader Mohamed, Hong Jiang, Dav...
Cellular automata (CA) are discrete dynamic systems that have been used for modeling many physical systems. CA are often used as an alternative to model and solve large-scale syst...
Gianluigi Folino, Giuseppe Mendicino, Alfonso Sena...
Since cognition could be treated as problem-solving issues based on dynamical knowledge transferring and propagation, the meta-learning and group learning are put forward in confor...