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Collaborative filtering is a well-known technique used for designing recommender systems when advertising services and products offered to the Internet users. In this paper, we employ the Restricted Boltzmann Machine (RBM) for collaborative filtering and propose the neighborhood-conditional RBM (N-CRBM) model based on joint distributions of similarity and popularity scores. The model is trained and...
Emergency situations require accurate and timely decisions in order to reduce delay and the additional impact of incidents on human lives and civil properties. However, decision-making in urban emergency situations is a challenging task due to the number of variables influencing the process and the unpredictable change of some of them. This process characteristic requires that decision-makers monitor...
With the migration of computational powers and applications to the cloud, Data Center Networks (DCNs) have become the backbone of the underlying infrastructure. Operation of the data centers relies on huge computational resources and bandwidth, that often undergo high operational costs, frequent link congestions, and imbalanced traffic loads. Software Defined Networking (SDN) based traffic load management...
Data centers are core infrastructure of cloud computing. Network virtualization in these centers is a promising solution that enables coexistence of multiple virtual networks on a shared infrastructure. It offers flexible management, lower implementation cost, higher network scalability, increased resource utilization, and improved energy efficiency. In this paper, we consider switch-centric data...
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