Xinjiang long-staple cotton is widely used in the production of high-end textiles due to its excellent quality. However, ...
Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...
Abstract: In the industrial field, Water pumps are key equipment for fluid transportation in the industrial field, and the fault warning of water pumps is of great significance for ensuring the ...
The denomination had ordered agencies to determine the “appropriateness” of the book for Christians. The Presbyterian Church in America’s bookstore wouldn’t recommend or sell Jesus Calling, but the ...
Lee-Scott Aca. and PCA will match up on Friday, May 2, at 5 p.m. CT. Don't miss out on any of the action with NFHS Network. The NFHS Network gives you access to live high school sports around the ...
ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.
Introduction: Parkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets. Conclusion: Our findings suggest that, while PD is ...
On the basis of the principal components analysis-particle swarm optimization-least squares support vector machine (PCA-PSO-LSSVM) algorithm, a fault diagnosis system is proposed for the compressor ...
You might have heard that algorithms are in control of everything you hear, read, and see. They control the next song on your Spotify playlist, or what YouTube suggests you watch after you finish a ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry imaging (MSI) is constantly improving in spatial resolving power, ...
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