Symmetry is an important cue for machine perception that involves high-level knowledge of image components. Unlike most of the previous research that only computes symmetry in an ...
Abstract. This paper proposes and presents a comparison of scheduling algorithms applied to the context of load balancing the query traffic on distributed inverted files. We put em...
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
In this paper, we study the effect of using or disengaging the RTS/CTS dialogue in IEEE 802.11 DCF MAC protocol incorporating the realistic condition under which carrier sensing, ...
Computer networks have expanded significantly in use and numbers. This expansion makes them more vulnerable to attack by malicious agents. Many current intrusion detection systems...