Systematic Sampling: What It Is, Pros and Cons

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
BMJ Quality & Safety

Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
IEEE

A Credit Card Fraud Detection Method Based on Mahalanobis Distance Hybrid Sampling and Random Forest Algorithm

Abstract: Currently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest ...
IEEE

Optimal Sampling for Data Freshness: Unreliable Transmissions With Random Two-Way Delay

Abstract: In this paper, we aim to design an optimal sampler for a system in which fresh samples of a signal (source) are sent through an unreliable channel to a remote estimator, and acknowledgments ...