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» New models and algorithms for programmable networks
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AIA
2006
15 years 2 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
106
Voted
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
15 years 5 months ago
Non Linear Traffic Modeling of VBR MPEG-2 Video Sources
In this paper, a neural network scheme is presented for modeling VBR MPEG-2 video sources. In particular, three non linear autoregressive models (NAR) are proposed to model the ag...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
102
Voted
WSNA
2003
ACM
15 years 6 months ago
Analyzing and modeling encryption overhead for sensor network nodes
Recent research in sensor networks has raised security issues for small embedded devices. Security concerns are motivated by the deployment of a large number of sensory devices in...
Prasanth Ganesan, Ramnath Venugopalan, Pushkin Ped...
WDAG
2007
Springer
92views Algorithms» more  WDAG 2007»
15 years 7 months ago
Self-stabilizing Counting in Mobile Sensor Networks with a Base Station
Abstract. Distributed computing must adapt its techniques to networks of mobile agents. Indeed, we are facing new problems like the small size of memory and the lack of computation...
Joffroy Beauquier, Julien Clement, Stéphane...
ICCAD
2004
IEEE
138views Hardware» more  ICCAD 2004»
15 years 9 months ago
A thermal-driven floorplanning algorithm for 3D ICs
As the technology progresses, interconnect delays have become bottlenecks of chip performance. Three dimensional (3D) integrated circuits are proposed as one way to address this p...
Jason Cong, Jie Wei, Yan Zhang