Results 31 to 40 of about 265,281 (248)

Principal Component Regression Modelling with Variational Bayesian Approach to Overcome Multicollinearity at Various Levels of Missing Data Proportion

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika), 2022
This study aims to model Principal Component Regression (PCR) using Variational Bayesian Principal Component Analysis (VBPCA) with Ordinary Least Square (OLS) as a method of estimating regression parameters to overcome multicollinearity at various levels
Nabila Azarin Balqis   +2 more
doaj   +1 more source

Deteksi Kavitasi Berbasis Getaran Pada Pompa Sentrifugal Menggunakan Principal Component Analysis (PCA)

open access: yesSemesta Teknika, 2018
A centrifugal pump is one type of pumps that widely used in industries. Its mechanism which creates pressure changes may cause cavitation. Cavitation phenomenon that is not properly maintained may results fatal breakdown leading to high economic losses ...
Berli Paripurna Kamiel   +1 more
doaj   +1 more source

Fault diagnosis of WOA-SVM high voltage circuit breaker based on PCA Principal Component Analysis

open access: yesEnergy Reports, 2023
High voltage circuit breakers (HVCB) are significant protection and control devices for electric systems, and its operating state directly influences the stability and reliability of electric systems. In order to solve the problem of low precision of the
Liyuan Yang   +3 more
doaj   +1 more source

PENGENALAN POLA SENYUM MENGGUNAKAN BACKPROPAGATION BERBASIS EKSTRAKSI FITUR PRINCIPAL COMPONENT ANALYSIS (PCA)

open access: yesRekayasa, 2011
Pada penelitian ini dilakukan pengenalan pola senyum menggunakan backpropagation berbasis ekstraksi fitur Principal Component Analysis (PCA). Penelitian ini bertujuan untuk mengembangkan penelitian tentang pengenalan ekspresi wajah, yaitu pola senyum ...
Rima Tri Wahyuningrum
doaj   +1 more source

Facial Expressions recognition Based on Principal Component Analysis (PCA) [PDF]

open access: yesInternational Journal of Computer Trends and Technology, 2014
6 pages, 13 figures, 9 tables, Volume 18 Number 5; Dec 2014; pp.
Abdelmajid Hassan Mansour   +2 more
openaire   +2 more sources

FINGERPRINT ANALYSIS OF Stevia rebaudiana USING HIERACHIAL CLUSTER ANALYSIS (HCA) AND PRINCIPAL COMPONENT ANALYSIS (PCA)

open access: yesMajalah Obat Tradisional, 2016
Bioactivity herbal plant is influenced by its active compounds and consistency. Stevia rebaudiana contains bioactive compounds, diterpene glycosides which have antidiabetes activity.
Yohanes Martono   +3 more
doaj   +1 more source

Analisis Principal Component Analysis (PCA) dalam Penentuan Faktor Kepuasan Pengunjung terhadap Layanan Perpustakaan Digilib

open access: yesEdumatic, 2023
Maximum management of the library, especially improving services to users is a must that needs to be evaluated by the library manager. Visitor satisfaction is difficult to measure because it relates to the high and low expectations of visitors to the ...
Sudianto Manullang   +2 more
doaj   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

ANALISIS FAKTOR PENYEBAB PENYAKIT JANTUNG MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA)

open access: yesJurnal Lebesgue
Factor analysis is an important method in research to identify the underlying structure of complex data. Heart disease is a disease caused by a disturbance in the coronary blood vessels that causes narrowing and blockage so that it can interfere with the
Sudianto Manullang   +7 more
doaj   +1 more source

Data mining of particulate matter (PM2.5) using Principal Component Analysis (PCA) in Isfahan [PDF]

open access: yesاکولوژی انسانی
Elevated concentrations of particulate matter (PMs), particularly PM2.5, are significantly influenced by various anthropogenic activities, including industrial processes, population growth, and fossil fuel combustion, especially during peak urban hours ...
Sohrab Hasheminejad   +2 more
doaj   +1 more source

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