Furthermore, 4 machine learning algorithms were assessed: XGBoost (XGB), random forest (RF), logistic regression (LR), and neural networks (NNs). For each dataset, the cross-validated area under the ...

ABSTRACT: Since its independence, Zimbabwe has developed various education systems that address various post-colonial questions. Still, these education systems have been disputed due to their ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Certified Data Engineer Associate exam validates your ability to design, build, and ...

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 ...

Abstract: Digital object architecture is an important part of the future development of the Internet. It converts various elements such as processes, services and data into digital objects. This ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Rigorous study design and analytical standards are required to generate reliable findings in healthcare ...

Generative models traditionally rely on large, high-quality datasets to produce samples that replicate the underlying data distribution. However, in fields like molecular modeling or physics-based ...

ABSTRACT: The study’s primary objective was to explore those factors that contribute to the success of women’s entrepreneurship in Nairobi County, Kenya. Empirical research was conducted among a ...

A python project for generating pseudo-random sample data for a wide array of different data formats. It has been setup as a python refresher project, while also providing some purpose to other ...

Abstract: High-dimensional signal processing and data analysis have been appealing to researchers in recent decades. Outlier detection and sample-size determination are two essential pre-processing ...