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» Solving Knapsack Problems in a Sticker Based Model
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WSC
2001
15 years 4 months ago
Using simulation and neural networks to develop a scheduling advisor
The research using artificial intelligence and computer simulation introduces a new approach for solving the job shop-scheduling problem. The new approach is based on the developm...
Thanos Alifantis, Stewart Robinson
143
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RML
2002
140views Business» more  RML 2002»
15 years 3 months ago
UML as knowledge acquisition frontend for Semantic Web configuration knowledge bases
The trend towards highly specialized solution providers cooperatively offering configurable products and services to their customers requires the extension of current (standalone)...
Alexander Felfernig, Gerhard Friedrich, Dietmar Ja...
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
15 years 10 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
ICC
2008
IEEE
130views Communications» more  ICC 2008»
15 years 10 months ago
Managing Network Congestion with a Kohonen-Based RED Queue
— The behaviour of the TCP AIMD algorithm is known to cause queue length oscillations when congestion occurs at a router output link. Indeed, due to these queueing variations, en...
Emmanuel Lochin, Bruno Talavera
122
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IAAI
2001
15 years 4 months ago
CARMA: A Case-Based Range Management Advisor
: CARMA is an advisory system for rangeland grasshopper infestations that demonstrates how AI technology can deliver expert advice to compensate for cutbacks in public services. CA...
Karl Branting, John D. Hastings, Jeffrey A. Lockwo...