The paper is devoted to the optimization of data structure in classification and clustering problems by mapping the original data onto a set of ordered feature vectors. When ordering, the elements of ...

In this paper, an integrated dynamic-static classification model for tight sandstone gas wells is established based on the XGBoost algorithm by combining dynamic and static data, which accomplishes ...

Employee Objectives Policy This policy outlines procedures for establishing good objectives and holding employees accountable for completing them. Customizable Document — Use it as-is or make ...

Based on these strategies, we present an approximation algorithm for efficient Voronoi diagram construction on triangulated surfaces. We also suggest a measure for evaluating similarity of our results ...

This work with a thorough study of the application of transfer learning models for tyre quality classification as well as substantial new avenues for smart manufacturing and vehicle care systems.

PyTorch Cluster This package consists of a small extension library of highly optimized graph cluster algorithms for the use in PyTorch. The package consists of the following clustering algorithms: ...

Respiratory monitoring is crucial because it provides key insights into a person’s health and physiological conditions. Conventional respiratory sensing is significantly challenged by the presence of ...

A pragmatic, parallel group, superiority, cluster randomised controlled trial (RCT) compared clinical care and outcomes of children attending government primary care facilities (clusters) randomly ...