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Long-term probabilistic detection.
ROC curve is one of the useful methods for representing the quality of deterministic and probabilistic detection, especially for landslide susceptibility assessment.
In this context, the receive operating characteristic (ROC) curve is usually used for examining the quality of deterministic and probabilistic detection and forecast system (Swets 1988).
The same modification is also added to the probabilistic detection approaches explained in the "Probabilistic overload detection", "Probabilistic not-overload detection" and "Probabilistic underload detection" sections.
For this purpose, it has been thought that we would attain to more realistic results, with probabilistic detection model by forming the coverage area more effectively.
Simulation results have shown that the developed OSDA-EM can be preferred in dynamic distribution of WSNs that performed with probabilistic detection model.
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To detect whether a host is underloaded, the same approach of probabilistic underload detection that is presented in "Probabilistic underload detection" section is used.
This paper proposes a novel probabilistic damage detection approach that accounts for the underlying uncertainties.
For an effective condition assessment of nonlinear dampers, a probabilistic change detection methodology is proposed.
Finally, the proposed probabilistic damage detection approach is successfully demonstrated and the breathing crack status is quantified with associated uncertainties.
This increases the stability of the approach, as shown by the lower number of live migrations for the probabilistic overload detection approach, compared to other approaches.
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