—Cooperative spectrum sensing has been shown to greatly improve the sensing performance in cognitive radio networks. However, if the cognitive users belong to different service p...
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
—In this paper, we present mobile agent systems supporting persistency. In order to develop the mobile agent systems, a mobile agent framework has to have functions to support pe...
1 Coronal loops are especially important in analyzing some important phenomena related to the Sun such as the controversial coronal heating problem. The analysis requires astrophys...
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...