Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
Abstract: Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point sampling.
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 ...
If you’ve been to Random Sample to see an art exhibition, or watch a live band, or even participate in a book club, you know just where to find its original home. It’s a white cinderblock building ...
Copyright: © 2025 The Author(s). Published by Elsevier B.V. 997 pseudonymized serum samples were obtained from NHS Greater Glasgow and Clyde (NHS GGC) biorepository ...
Introduction Conventional cardiotocography (CTG) has been used extensively to monitor the fetal condition during labour. However, conventional non-invasive monitoring is limited by the difficulty of ...
Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...
Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guided mechanisms while ...
Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating the performance ...
Abstract: Non-intrusive load monitoring (NILM) can provide appliance-level power consumption information without deploying submeters for each load, in which load event detection is one of the crucial ...
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