P. Ciotirnae

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Nearly three-fourths of the world's mobile data traffic will be video in the next 5 years. Video is one of the most demanding services in terms of network efficiency, reliability, and quality. In this work, we present a comparative performance evaluation of three different video streaming protocols, namely MPEG-DASH, RTSP, and RTMP for both on-demand and(More)
The efficiency of pattern recognition (PR) systems using RBF neural networks to implement their recognition function, depends a lot by the training algorithms of these neural networks and especially, by the specific techniques (e.g., supervised, clustering techniques etc.) used for RBF center positioning. Having as starting point the basic property of(More)
The performance level of pattern recognition (PR) systems can be improved using in a proper way new powerful artificial neural networks inside of its classification chains and respectively, decision fusion techniques on available multispectral information. Consequently, to increase the pattern recognition performances, an improved neural classification(More)
It is well known that the design and effective development of ATTR systems incorporating in their architecture some characteristic elements belong to artificial intelligence represents and will represent a very important research direction in this area. Accordingly, in the current study a specific design algorithm for a full neural implementation of an ATTR(More)
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