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» Statistical Density Prediction in Traffic Networks
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SIGCOMM
1996
ACM
14 years 2 months ago
On the Relevance of Long-Range Dependence in Network Traffic
There is much experimental evidence that network traffic processes exhibit ubiquitous properties of self-similarity and long-range dependence, i.e., of correlations over a wide ran...
Matthias Grossglauser, Jean-Chrysostome Bolot
BMCBI
2010
176views more  BMCBI 2010»
13 years 10 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
SP
2008
IEEE
13 years 10 months ago
Predictable Design of Network-Based Covert Communication Systems
This paper presents a predictable and quantifiable approach to designing a covert communication system capable of effectively exploiting covert channels found in the various layer...
Ronald William Smith, George Scott Knight
IROS
2009
IEEE
186views Robotics» more  IROS 2009»
14 years 5 months ago
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
Achim J. Lilienthal, Matteo Reggente, Marco Trinca...
ICC
2007
IEEE
114views Communications» more  ICC 2007»
14 years 2 months ago
Optimizing Throughput with Carrier Sensing Adaptation for IEEE 802.11 Mesh Networks Based on Loss Differentiation
In high density (HD) mesh networks, packet losses can occur due to co-channel interference (asynchronous interference) or collisions (synchronous interference). In this paper, we f...
Hui Ma, Soo Young Shin, Sumit Roy