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140
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MDM
2010
Springer
250views Communications» more  MDM 2010»
15 years 5 months ago
Defending Wireless Sensor Networks against Adversarial Localization
In this paper, we study the issue of defending against adversarial localization in wireless sensor networks. Adversarial localization refers to attacks where an adversary attempts...
Neelanjana Dutta, Abhinav Saxena, Sriram Chellappa...
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 5 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
CCR
2010
156views more  CCR 2010»
15 years 3 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
145
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CONCURRENCY
2010
104views more  CONCURRENCY 2010»
15 years 3 months ago
Performance analysis of an experimental wireless relay sensor network
Communication through relay channels in wireless sensor networks can create diversity and consequently improve robustness of data transmission for ubiquitous computing and network...
Gu-Chun Zhang, Xiao-Hong Peng, Xuan-Ye Gu
ENGL
2008
153views more  ENGL 2008»
15 years 3 months ago
Neural Network NARMA Control of a Gyroscopic Inverted Pendulum
The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive m...
F. Chetouane, S. Darenfed