Abstract: In practical engineering, significant noise and amplitude fluctuations in bearing vibration data, hinder the accuracy of fault identification. In order to overcome these difficulties, reduce ...
AI startup Upstage has resolved allegations that it used Chinese models in developing its AI model, as the accuser issued an apology. High-ranking government officials commented, “The debate itself ...
Introduction: Neutrophil extracellular traps (NETs) play a critical role in inflammation and coagulation imbalance. Recent studies have demonstrated that activation of gasdermin D (GSDMD) protein and ...
Correlation analysis is a commonly used method in data analysis and mining. By analyzing the relationships between the feature and target variables, it helps identify influential factors in business ...
Abstract: The safety of pipelines has become one of the key issues in academia and industry. With the development of data science, many methods have been proposed to handle a large amount of ...
ABSTRACT: Continuous groundwater quality monitoring poses significant challenges affecting the environment and public health. Groundwater in Abidjan, specifically from the Continental Terminal (CT), ...
Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...
A report from the ALICE experiment. Fig. 1. Pearson correlation coefficient between the net-Ξ number and net-kaon number, as a function of the charged-particle multiplicity of the collision. Model ...