Applications in Computer Networks often require high throughput access to large data structures for lookup and classification. Many advanced algorithms exist to speed these searc...
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
In this paper we introduce an analysis framework for mobile workforce automation. The framework is based on the findings from earlier research as well as on an analysis of 27 rec...
Monte-Carlo simulations are used in many applications, such as option pricing and portfolio evaluation. Due to their high computational load and intrinsic parallelism, they are id...
A partitioned TCAM-based search engine is presented that increases packet forwarding rate multiple times over traditional TCAMs. The model works for IPv4 and IPv6 packet forwardin...
Mohammad J. Akhbarizadeh, Mehrdad Nourani, Rina Pa...