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The 'Analytical approach' section introduces MODM model.
"Obstacle avoidance approach" section describes our obstacle avoidance approach.
First, in this section, we begin with the description of our SLA approach (Section 8.1).
The our approach section discusses about community dynamics, research approach and complex network structural parameters.
The "A model-driven approach" section illustrates the underlying model-driven approach.
The proposed algorithm and its characteristics and descriptions are outlined in "Approach" section.
The performance of the selected ANN model is discussed in the'Performance comparison of proposed approach' section.
"Our approach" section introduces the proposed method, Optimized Attractor, after discussing the required preliminaries.
An overview of our proposed approach is given in "Approach" section, which also provides the basic formal definitions.
This section discusses the steps involved in solving the L-CG-MEC L-CG-MEC L-CG-MECin "model edge cloud resource allocation approach" section.
"The proposed approach" section explains how DAC works, and "Experimental evaluation" section describes the experimental evaluation of DAC.
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