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Each neighboring approach can identify structural similarity that the other neighboring approach cannot detect.
Experimental results demonstrate that our approach can identify malicious MSN nodes faster than other similar approaches.
Results show that the proposed approach can identify the sensitivity of a product element more reasonably.
It can be seen that the approach can identify both abrupt as continuous changes in the delay.
The proposed approach can identify alternative solvents that extract residual oil from PPF with the highest retention of carotene.
The results reveal that the proposed identification approach can identify the static hysteresis nonlinearity with high accuracy.
It will be shown that the proposed approach can identify the most robust solutions with minimum lifetime under uncertainty.
Moreover, the proposed approach can identify effective investment opportunities for GHG abatement by utilizing the concept of congestion on undesirable outputs.
In addition to that, the non-parametric based elasticity approach can identify the potential influence of hydrologic ratios on spatial drought characteristics.
In experiment of damage type recognition, the experimental results show that the proposed approach can identify different types of damages well.
The results indicate the approach can identify optimal trade-offs between robustness, cost and environmental objectives, which would otherwise not have been possible using commonly available computational resources.
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CEO of Professional Science Editing for Scientists @ prosciediting.com