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Spend analysis based on the business intelligence paradigm takes care of what you did yesterday.
The proposed approach adopts a swarm intelligence paradigm inspired by the collective behavior of bird flocks.
This study examines the potential for using case-based reasoning (CBR), an emerging artificial intelligence paradigm, to overcome such limitations.
Spend analysis based on the operational intelligence paradigm will complete the picture by addressing what you are about to spend today.
Consistently with the swarm intelligence paradigm, the main focus is on studies characterized by distributed control, simplicity of individual robots and locality of sensing and communication.
This paper proposes a new intelligence paradigm scheme to forecast that emphasizes on numerous software development elements based on functional networks forecasting framework.
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PSO and ABC are typical swarm intelligence paradigms where the standard algorithms do not contain recombination operators.
Swarm intelligence paradigms are able to obtain several alternatives to MST, which is useful for improving reliability of VANETs.
In (Aljahdali and Sheta 2013), the authors argued that recently, computational intelligence paradigms were explored to handle the software effort estimation problem with promising results.
Particle swarm optimization: PSO, which was introduced in [7, 8] in 1995, is one of the most important swarm intelligence paradigms.
It is concluded that suburban regions around major cities hold a significant potential for refugee habitats, suggesting the integration of regional intelligence paradigms in the spatial planning and regional decision support systems of governmental and policy interaction.
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