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In order to make the diffusion robust and less costive, we propose a new scheme to compute q i, j; t).
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The proposed switch diffusion is robust and reliable for enhancing-oriented structures.
In the second phase, a robust diffusion model is reformulated by developing a novel diffusion tensor to control the smoothing on both direction and strength adaptively.
In order to get robust diffusion, the proposed method integrates Tukey error norm function into the detail preserving anisotropic diffusion filter (DPAD) developed recently.
In addition, the top layer of lithiophobic CNT with a porous morphology facilitates Li diffusion and is robust enough to avoid the penetration of Li dendrites.
One company or country can benefit from the development and marketing of a clever invention, while the robust diffusion and adoption of such inventions can also benefit many others.
The eddy current thermography imaging method utilizes coupled electromagnetic thermal fields and diffusion waves for robust detection of these hidden defects.
To reduce the waste produced and time spent conducting diffusion experiments, a robust model is required to accurately interpret the experiment results.
The diffusion scheme is robust to such a change, and this scenario has been considered here and results are shown in Figure11.
Section 4 is dedicated to the proposal and description of two robust diffusion-based classification algorithms, while Section 5 provides an extensive Monte-Carlo simulation study.
Two generic robust diffusion-based distributed hybrid classification algorithms were proposed, which can be adapted to various object/source labeling applications in a decentralized MDMT network.
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