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» Neural Networks and Complexity Theory
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ICANN
2010
Springer
15 years 2 months ago
Teaching Humanoids to Imitate 'Shapes' of Movements
Trajectory formation is one of the basic functions of the neuromotor controller. In particular, reaching, avoiding, controlling impacts (hitting), drawing, dancing and imitating ar...
Vishwanathan Mohan, Giorgio Metta, Jacopo Zenzeri,...
WSC
2008
15 years 6 months ago
Modeling and simulation of e-mail social networks: A new stochastic agent-based approach
Understanding how the structure of a network evolves over time is one of the most interesting and complex topics in the field of social networks. In our attempt to model the dynam...
Fabian Menges, Bud Mishra, Giuseppe Narzisi
MOBIHOC
2010
ACM
15 years 2 months ago
Data preservation under spatial failures in sensor networks
In this paper, we address the problem of preserving generated data in a sensor network in case of node failures. We focus on the type of node failures that have explicit spatial s...
Navid Hamed Azimi, Himanshu Gupta, Xiaoxiao Hou, J...
MOBIHOC
2004
ACM
16 years 3 months ago
On greedy geographic routing algorithms in sensing-covered networks
Greedy geographic routing is attractive in wireless sensor networks due to its efficiency and scalability. However, greedy geographic routing may incur long routing paths or even ...
Guoliang Xing, Chenyang Lu, Robert Pless, Qingfeng...
IPSN
2007
Springer
15 years 10 months ago
The worst-case capacity of wireless sensor networks
The key application scenario of wireless sensor networks is data gathering: sensor nodes transmit data, possibly in a multi-hop fashion, to an information sink. The performance of...
Thomas Moscibroda