Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Software-based traffic generators are commonly used in experimental research on computer networks. However, there are no much studies focusing on how such instruments are accurate...
Alberto Dainotti, Alessio Botta, Antonio Pescap&eg...
This paper considers the problem of performing decentralised coordination of low-power embedded devices (as is required within many environmental sensing and surveillance applicat...
Alessandro Farinelli, Alex Rogers, Adrian Petcu, N...
Dynamic voltage scaling (DVS) is a technique that varies the supply voltage and clock frequency based on the computation load to provide desired performance with the minimal amoun...