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ECAL
2005
Springer
16 years 5 days ago
Evolving Neural Mechanisms for an Iterated Discrimination Task: A Robot Based Model
This paper is about the design of an artificial neural network to control an autonomous robot that is required to iteratively solve a discrimination task based on time-dependent s...
Elio Tuci, Christos Ampatzis, Marco Dorigo
HIS
2007
15 years 8 months ago
How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-II
The world’s demand for sugar and particularly for renewable fuels such as ethanol requires an increase in production in sugar mills. The use of artificial neural networks (ANN) ...
Diogo Ferreira Pacheco, Tarcísio Daniel P. ...
INFOCOM
2010
IEEE
15 years 5 months ago
Throughput-Optimal Opportunistic Scheduling in the Presence of Flow-Level Dynamics
Abstract—We consider multiuser scheduling in wireless networks with channel variations and flow-level dynamics. Recently, it has been shown that the MaxWeight algorithm, which i...
Shihuan Liu, Lei Ying, R. Srikant
WINE
2010
Springer
177views Economy» more  WINE 2010»
15 years 4 months ago
Braess's Paradox in Large Sparse Graphs
Braess's paradox, in its original context, is the counter-intuitive observation that, without lessening demand, closing roads can improve traffic flow. With the explosion of d...
Fan Chung, Stephen J. Young
WMCSA
2002
IEEE
15 years 11 months ago
User Devices Cooperating to Support Resource Aggregation
MOPED (MObile grouPEd Device) is a network model that treats a user’s set of personal devices as a single, virtual device. The nodes of the MOPED dynamically aggregate available...
Casey Carter, Robin Kravets