We propose a new data dissemination protocol for wireless sensor networks, that basically pulls some additional knowledge about the network in order to subsequently improve data fo...
Ioannis Chatzigiannakis, Athanasios Kinalis, Sotir...
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
Due to the information growth, distributed environments are offered as a feasible and scalable solution where Peerto-Peer networks have become more relevant. They bring many advan...
The Unified Modeling Language UML is well-suited for the design of real-time systems. In particular, the design of dynamic system behaviors is supported by interaction diagrams an...
—Mnesic evocation occurs under the action of a stimulus. A successful evocation is observed as the overrun of a certain threshold of the neuronal activity followed by a medical i...