The majority of crypto exploits in the coming year won’t be caused by a zero-day bug in your favorite protocol, say crypto ...
Online gambling games have evolved in two major ways. In the first approach, the games are conducted through software ...
Abstract: The attenuation of seismic field noise using self-supervised deep learning (DL) has gained attention due to its label-free training process. However, common self-supervised methods are ...
I will explain what property-based testing (PBT) is and how it solves these problems. What is property-based testing (PBT)? At a very high level, it injects thousands of random values into ...
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 ...
Abstract: Seismic forward modeling is crucial for exploration geophysics, especially in seismic exploration. As research has progressed, the limitations of forward models assuming homogeneous media ...
The handling of missing data in cognitive diagnostic assessment is an important issue. The Random Forest Threshold Imputation (RFTI) method proposed by You et al. in 2023 is specifically designed for ...
Summary: Random numbers help us secure everything from bank accounts to classified servers. And yet, that essential layer of security can be spoofed. New research from the Oak Ridge National ...
The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat 8 remote ...
There are many methods available to fit random-effects meta-analysis. However, until 2024, the only option available in RevMan has been the DerSimonian and Laird random-effects method. This method is ...