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» Simple Local Models for Complex Dynamical Systems
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ICANN
2005
Springer
15 years 3 months ago
Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes
Abstract. Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their environment cause cohere...
Carlos Fernandes, Vitorino Ramos, Agostinho C. Ros...
ADVCS
2007
108views more  ADVCS 2007»
14 years 10 months ago
Open Synchronous Cellular Learning Automata
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
Hamid Beigy, Mohammad Reza Meybodi
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
14 years 7 months ago
PTZ camera calibration for Augmented Virtual Environments
Augmented Virtual Environments(AVE) are very effective in the application of surveillance, in which multiple video streams are projected onto a 3D urban model for better visualiza...
Lu Wang, Suya You, Ulrich Neumann
CASES
2008
ACM
14 years 12 months ago
Multi-granularity sampling for simulating concurrent heterogeneous applications
Detailed or cycle-accurate/bit-accurate (CABA) simulation is a critical phase in the design flow of embedded systems. However, with increasing system complexity, full detailed sim...
Melhem Tawk, Khaled Z. Ibrahim, Smaïl Niar
IUI
2004
ACM
15 years 3 months ago
Sheepdog: learning procedures for technical support
Technical support procedures are typically very complex. Users often have trouble following printed instructions describing how to perform these procedures, and these instructions...
Tessa A. Lau, Lawrence D. Bergman, Vittorio Castel...