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By exploiting the frameworks of the fuzzy and PCA methods, a noise-resistant approach is created.
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To obtain a noise-resistant model, the proposed network is trained by the CASIA-WebFace dataset [50].
We find that the two-node transcriptional networks are fragile; very few parameter sets allow these motifs to function in a noise-resistant way.
In this case, we suggest using a simple noise-resistant technique based on a generalization of the original definition of the cores.
As these parameter perturbations are subject to molecular fluctuations, a molecular noise-resistant network is likely to be robust.
In our work we try to establish a tool for noise-resistant classification of EEG signals.
Thus, they can get some superior performance when the optimal thresholds are selected [19, 20], compared with other noise-resistant methods.
SMK developed a new sensor panel structure that is noise-resistant, allowing for a clearer signal to be detected at high sensitivities.
In this paper, we propose a carefully designed deep neural network coined noise-resistant network (NR-Network) for face recognition under noise.
Recent progress on HSH includes a HSH-based Helmholtz bidirectional reflectance basis [37] and noise-resistant Eigen hemispherical harmonics.
Our results indicate that the constrains that local cell oscillators have to face to be noise-resistant could be relaxed in the presence of injecting substances, because a stimulus itself can counteract or suppress noise resistance.
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