The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

Despite the several existing initiatives to obtain evapotranspiration data for several scientific analysis, it remains a challenge when dealing with data scarcity, especially when it is coupled with ...

ABSTRACT: Colza is a relatively new crop for North Kazakhstan. The increase of colza seeds production is restricted by its cultivation technology imperfection. Empiric model of colza for seeds ...

Abstract: The use of dedicated sensor to measure levitation gap in maglev system leads to the problems of large volume, inconvenient installation, and high cost. In this article, a gap self-sensing ...

Abstract: In the future, it is expected that the demand for people with programming abilities will increase. Programming has become an ability that everyone needs to have, and it is also a part of the ...

3D detectors equipped with LiDAR points for autonomous driving have exhibited outperforming performance. Unfortunately, LiDAR sensors are often expensive and weather-sensitive, restricting their use.

OptimalCluster is the Python implementation of various algorithms to find the optimal number of clusters. The algorithms include elbow, elbow-k_factor, silhouette, gap statistics, gap statistics with ...

Re-sampling avoids parametric assumptions, making it a non-parametric method of statistical inference. The Bootstrap method employs sampling with replacement to create estimations from smaller data ...