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: This study applies Principal Component Analysis (PCA) to evaluate and understand academic performance among final-year Civil Engineering students at Mbeya University of Science and ...
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.
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 ...
The primary goal of this research was to minimise the energy consumed by heating and cooling loads in residential buildings in a sub-humid Mediterranean climate zone. This was achieved by optimising ...
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, ...
The YouTube algorithm is often seen as a mysterious black box, determining which videos rise to fame and which languish in obscurity. But according to Todd Beaupré, who manages YouTube's ...
1 School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China 2 State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep ...
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