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AROBOTS
2007
159views more  AROBOTS 2007»
15 years 6 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
BMCBI
2010
113views more  BMCBI 2010»
15 years 6 months ago
Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse
Background: Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools ar...
Lars Carlsson, Ola Spjuth, Samuel Adams, Robert C....
CACM
2008
84views more  CACM 2008»
15 years 6 months ago
The emergence of a networking primitive in wireless sensor networks
The wireless sensor network community approached netabstractions as an open question, allowing answers to emerge with time and experience. The Trickle algorithm has become a basic...
Philip Levis, Eric A. Brewer, David E. Culler, Dav...
CPHYSICS
2008
96views more  CPHYSICS 2008»
15 years 6 months ago
Moment distributions of clusters and molecules in the adiabatic rotor model
We present a Fortran program to compute the distribution of dipole moments of free particles for use in analyzing molecular beams experiments that measure moments by deflection in...
G. E. Ballentine, G. F. Bertsch, N. Onishi, K. Yab...
BMCBI
2006
146views more  BMCBI 2006»
15 years 6 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
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