Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model

<div class="floats-full-page floats-full-page-figure"><h2>Figure 5</h2><div class="floats-full-page-caption"><div>Steps of modeling normal traffic with data loss.</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image"><td><object data="https://static-01.hindawi.com/articles/mpe/volume-2015/923792/figures/923792.fig.005.svgz" name="923792.fig.005" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 5 | Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model

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Figure 5: Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model

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Figure 5

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<p><em>Mathematical Problems in Engineering</em> is a broad-based journal publishing&nbsp;results of rigorous engineering research across all disciplines, carried out using mathematical tools.</p>


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<p>Chief Editor, Professor Guangming Xie, is currently a full professor of dynamics and control with the College of Engineering, Peking University. His research interests include complex system dynamics and control and intelligent and biomimetic robots.</p>


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