This issue proposes adding cluster sampling capabilities to the scikit-sampling library. Cluster sampling is a probability sampling technique where the population is divided into naturally occurring ...

Abstract: Deep metric learning has gained significant attention recently due to its promising performance in image retrieval, face recognition, and clustering tasks. Deep metric learning algorithms ...

Introduction: Bluetongue is a non-contagious arthropod-borne viral disease that affects ruminants. No investigations have yet been conducted to ascertain the seroprevalence and associated risk factors ...

Background: Baseline mapping showed that schistosomiasis was highly/moderately endemic in nine districts in Sierra Leone. Mass drug administration (MDA) with praziquantel started in 2009, and after ...

Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...

This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling ...

This commit removes `sql.telemetry.query_sampling.enabled`. The telemetry logging frequency settings can be used to enable and disable telemetry logging. To enable sql statement sampling to telemetry: ...

Random sampling is a powerful technique used to analyze data effectively by selecting a representative sample from a larger dataset. Excel provides various ways to generate random samples, making it ...