GitHub

Testing the speeds of different algorithms

There was an error while loading. Please reload this page. Sorting is the process of changing the order of integers in a list so they start with the lowest number and ...
Frontiers

A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention

Introduction: The motion of a ship at sea is complex. This motion is affected by environmental factors such as wind, waves, and currents. These factors cause the ship’s movement to be nonlinear, ...
IEEE

Investigation on PCA and LDA Feature Extraction Algorithms with KNN Classifier Targetting to Improve Diagnostic Accuracy into Detection of Breast Cancer Malignancy

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) ...
Scientific Research Publishing

Shlens, J. (2014). A Tutorial on Principal Component Analysis. arXiv: 1404.1100.

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 ...
Scientific Research Publishing

Lin, J. and He, J. (2022) Parallel Random Forest Prediction Algorithm Based on PCA Stratified Sampling in the Big Data Environment. China Management Informationization, 25, 172 ...

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.
JSTOR Daily

Sensitivity analysis optimisation of building envelope parameters in a sub-humid Mediterranean climate zone

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 ...
IEEE

Research on PCA Data Dimension Reduction Algorithm Based on Entropy Weight Method

Abstract: Traditional principal component analysis (PCA) is a common linear dimension reduction algorithm, but its dimension reduction effect is relatively poor, and the algorithm takes a long time, ...
Frontiers

Estimating retinal blood oxygenation from diffuse reflectance spectra of semi-infinite tissue using principal component analysis

Blood oxygen saturation (SO 2 when evaluated in blood vessels, StO 2 when evaluated in tissues) is a vital physiological measure that quantifies the proportion of oxygen-bound hemoglobin in the ...
C&EN

Processing Next-Generation Mass Spectrometry Imaging Data: Principal Component Analysis at Scale

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, ...