Abstract: The performance of data-driven fault diagnosis methods is often impeded by irrelevant and redundant information in high-dimensional data. To address this issue, this article proposes a fault ...
Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...
After distributing test kits to 60 randomly selected households in mid-June as part of a project aiming to replace all lead water lines, Blue Island officials say the results found no immediate ...
Proposed new feature or change: Numpy provides efficient, vectorized methods for generating random samples of an array with replacement. However, it lacks similar functionality for sampling without ...
ABSTRACT: The purpose of the current study was to assess the factors contributing to persistence of food insecurity in Gairo district. The study adopted cross sectional research design with which the ...
A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight, and every item is sampled exactly once (without repetition or replacement). The ...
Abstract: Recent years have witnessed the development of federated learning (FL) that allows wireless devices (WDs) to collaboratively learn a global model under the coordination of a parameter server ...
Importance: The United States (US) Medicare claims files are valuable sources of national healthcare utilization data with over 45 million beneficiaries each year. Due to their massive sizes and costs ...
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