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» Statistical Density Prediction in Traffic Networks
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SIGCOMM
1996
ACM
15 years 8 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»
15 years 4 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
15 years 4 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»
15 years 10 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»
15 years 8 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