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Incremental learning algorithms are efficient method to these problems.
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Therefore, it is important to develop suitable numerical methods to these problems, whose accuracy does not depend on the parameter value ; that is, methods that are convergence -uniformly [1 5].
Therefore, it is important to develop suitable numerical methods to these problem, whose accuracy does not depend on the parameter value, that is, methods that are uniformly convergent with respect to the perturbation parameter [8 10].
The operator-splitting approach often cited is a widely use method to solve these problems: it consists in solving sequentially the transport then the chemistry part of the problem.
We develop model equations and algorithmic techniques to extend the level set method to include these problems.
The traditional method to address these problems is to reinforce the back of the canvas by attaching a new canvas to the old in a process called "lining," also referred to as "relining".
Cooperative sensing is an efficient method to solve these problems.
Hence, the urgent need is to find a potential method to address these problems.
A TRNG using SR latches was proposed as a method to solve these problems [2].
In this research, we propose a micromachining method to solve these problems.
We have used an implanting micromachining method to solve these problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com