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The choice of a concrete machine learning classifier depends on a multitude of parameters, e.g., dataset size, feature space dimensionality, available computational resources, robustness against adversarial attacks, etc., and classifiers are tailored for different uses.
Since this is often not feasible due to limited resources, robustness of inventory is a desirable attribute of any faunal survey [ 2].
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Country-level program managers need to be encouraged and supported to determine the most promising strategies for achieving impact in their settings by looking at the particular situations they face, including local epidemiology and population distribution, service utilization patterns, barriers to access, availability of resources, and robustness of support systems.
The advantages of the proposed systems include availability of different transmission rates, abilities of different users to share the network resource, and robustness in wireless communications environments.
Filter-bank multi-carrier (FBMC) modulations have recently been considered for the emerging wireless communication systems as a means to improve the utilization of the physical resources and the robustness to channel time variations.
However, this should be done based on a larger data set including additional astrocytoma samples from other resources to ensure robustness and transferability.
We investigate two distinct issues related to resource allocation heuristics: robustness and failure rate.
The real-life implementation of this technology in the future is expected to increase productivity, resource utilisation and robustness in a tyre-manufacturing environment.
We focus on pursuing the best balance among (i) optimality of resource utilization, (ii) robustness to new station installation and traffic demand, and (iii) scalability to the population of stations and area size.
Experimental results show that the proposed geographic information system has obvious advantages in resource utilization, network robustness, user satisfaction, and control complexity.
Using simulation studies based on a classic influenza outbreak, we demonstrate the advantages of adaptive interventions over non-adaptive ones, in terms of cost and resource efficiency, and robustness to model misspecification.
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