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Considering the effects of two different communication modes and introducing a prediction error between the current actual state and predicted state, the event-triggering condition is derived for each event-triggered subsystem.
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The current paper introduces a prediction approach for city-level biosurveillance data streams such as time series of outpatient clinic visits and over-the-counter remedy sales.
The current paper introduces a prediction approach for city-level biosurveillance data streams such as time series of outpatient clinic visits and sales of over-the-counter remedies.
Another important improvement on Thodi and Rodriguez's work has been proposed by Sachnev et al. [15] by introducing a high-precision prediction strategy and sorting technique.
25 An important aspect when introducing a new risk prediction rule is the classification of patients into high and low risk and the number of patients that would be reclassified to a different risk category when compared to the standard risk prediction approach (here the Anderson Framingham equation).
In this paper, we introduce a Handoff prediction and enhancement scheme (HOPES) that aims to explore the use of prediction techniques in mobility managements in order to improve the end-to-end traffic quality.
In the present investigation an attempt has been made to introduce a life prediction methodology by adopting an 'Exponential Model' that can be used without integration of fatigue crack growth rate curve.
In this paper, we have introduced a link prediction method that combines graph-based and ontological information through the use of a probabilistic description logic.
In this paper, we have introduced a trajectory prediction algorithm, P-DPA, that uses the self-history of a targeted individual in order to predict the set of destinations that could be visited by him/her.
In this paper, we introduce a trajectory prediction algorithm called personal destination pattern analysis (P-DPA) to analyse the different destinations in various trajectories of an individual, and to predict a trajectory or a set of destinations that could be visited by that individual.
We introduce a link prediction method that exploits the complex hierarchical structure and the statistical regularities of metabolic networks [ 22, 23] and takes explicitly into account its bipartite nature [ 24, 25].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com