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NN
1998
Springer
117views Neural Networks» more  NN 1998»
14 years 9 months ago
Neural learning of embodied interaction dynamics
This paper presents our approach towards realizing a robot which can bootstrap itself towards higher complexity through embodied interaction dynamics with the environment includin...
Yasuo Kuniyoshi, Luc Berthouze
SIGCOMM
2010
ACM
14 years 10 months ago
c-Through: part-time optics in data centers
Data-intensive applications that operate on large volumes of data have motivated a fresh look at the design of data center networks. The first wave of proposals focused on designi...
Guohui Wang, David G. Andersen, Michael Kaminsky, ...
BMCBI
2007
153views more  BMCBI 2007»
14 years 10 months ago
An exploration of alternative visualisations of the basic helix-loop-helix protein interaction network
Background: Alternative representations of biochemical networks emphasise different aspects of the data and contribute to the understanding of complex biological systems. In this ...
Brian J. Holden, John W. Pinney, Simon C. Lovell, ...
ISCAS
2005
IEEE
173views Hardware» more  ISCAS 2005»
15 years 3 months ago
Decentralized energy-conserving and coverage-preserving protocols for wireless sensor networks
Abstract— The wireless sensor network is an emerging technology that may greatly facilitate human life by providing ubiquitous sensing, computing, and communication capability. H...
Chi-Fu Huang, Li-Chu Lo, Yu-Chee Tseng, Wen-Tsuen ...
GECCO
2005
Springer
15 years 3 months ago
Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm
Mobile ad hoc networks are typically designed and evaluated in generic simulation environments. However the real conditions in which these networks are deployed can be quite diff...
David J. Montana, Jason Redi