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Recently, cognitive radio (CR) has been used as an effective method to tackle the conflict between spectrum scarcity and spectrum utilization [1, 2].
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Optimization problems are often highly constrained and evolutionary algorithms (EAs) are effective methods to tackle this kind of problems.
In the last years, the meta-heuristics proved to be one of the most effective methods to tackle difficult optimization problems, providing an alternative in cases where exact methods would be unfeasible.
There are many effective methods to tackle this problem.
In this paper, we propose a simple yet effective and efficient method to tackle the challenges of inferring high-order time-delayed gene regulation.
The report shows in total that nearly 1,400 schools from 118 local authorities implemented the strategy as a cost-effective method to tackle literacy difficulties.
Performance Modeling is a suitable method to tackle this problem.
We present the divergence-conforming immersed boundary (DCIB) method to tackle this issue.
In this paper, we propose a Bayesian method to tackle this problem.
In this paper, we proposed a Bayesian method to tackle the problem of NMR peak picking.
It is necessary to establish effective computational methods to tackle this problem which can provide useful references.
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