Principal component analysis, hidden Markov model , and artificial neural network inspired techniques to recognize faces

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.6157 ◽

2020 ◽

Author(s):

Akarsh Aggarwal ◽

Mohammed Alshehri ◽

Manoj Kumar ◽

Purushottam Sharma ◽

Osama Alfarraj ◽

...

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Principal Component ◽

Component Analysis ◽

Artificial Neural

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A Biomedical System Based on Artificial Neural Network and Principal Component Analysis for Diagnosis of the Heart Valve Diseases

Journal of Medical Systems ◽

10.1007/s10916-010-9446-7 ◽

2010 ◽

Vol 36 (1) ◽

pp. 61-72 ◽

Author(s):

Harun Uğuz

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Heart Valve ◽

Principal Component ◽

Component Analysis ◽

Heart Valve Diseases ◽

Artificial Neural ◽

Biomedical System ◽

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Modeling greenhouse air humidity by means of artificial neural network and principal component analysis

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2009.07.011 ◽

2010 ◽

Vol 71 ◽

pp. S19-S23 ◽

Author(s):

Fen He ◽

Chengwei Ma

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Principal Component ◽

Component Analysis ◽

Air Humidity ◽

Artificial Neural

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Electroencephalograph based Human Emotion Recognition Using Artificial Neural Network and Principal Component Analysis

IETE Journal of Research ◽

10.1080/03772063.2021.1965044 ◽

2021 ◽

pp. 1-10

Author(s):

Satyanarayana Naga V. Kanuboyina ◽

Shankar T ◽

Rama Raju Venkata Penmetsa

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Emotion Recognition ◽

Principal Component ◽

Component Analysis ◽

Human Emotion ◽

Artificial Neural

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Ozone Modeling in an Urban Atmosphere Using Artificial Neural Network. Hybrid Hidden Markov Model/Multi-layer Perceptron. The NEUROZONE Model

Air Pollution Modelling and Simulation ◽

10.1007/978-3-662-04956-3_51 ◽

2002 ◽

pp. 537-543

Author(s):

J. Rynkiewicz ◽

A. L. Dutot ◽

F. Steiner

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Urban Atmosphere ◽

Multi Layer Perceptron ◽

Artificial Neural

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Investigation of correlation between chemical composition and properties of biodiesel using principal component analysis (PCA) and artificial neural network (ANN)

Renewable Energy ◽

10.1016/j.renene.2020.12.078 ◽

2021 ◽

Vol 168 ◽

pp. 632-646

Author(s):

M.I. Jahirul ◽

M.G. Rasul ◽

R.J. Brown ◽

W. Senadeera ◽

M.A. Hosen ◽

...

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Chemical Composition ◽

Principal Component ◽

Component Analysis ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Development of pistachio sorting system using principal component analysis (PCA) assisted artificial neural network (ANN) of impact acoustics

Expert Systems with Applications ◽

10.1016/j.eswa.2010.04.008 ◽

2010 ◽

Vol 37 (10) ◽

pp. 7205-7212 ◽

Author(s):

Mahmoud Omid ◽

Asghar Mahmoudi ◽

Mohammad H. Omid

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Principal Component ◽

Component Analysis ◽

Artificial Neural ◽

Artificial Neural Network Ann ◽

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Fault diagnosis in industrial processes using principal component analysis and hidden Markov model

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1384761 ◽

2004 ◽

Author(s):

Shaoyuan Zhou ◽

Jianming Zhang ◽

Shuqing Wang

Keyword(s):

Principal Component Analysis ◽

Fault Diagnosis ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Principal Component ◽

Component Analysis ◽

Industrial Processes

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Enhanced Artificial Neural Network Models Using Principal Component Analysis for Plants multiclass classification

2018 Tenth International Conference on Advanced Computing (ICoAC) ◽

10.1109/icoac44903.2018.8939105 ◽

2018 ◽

Author(s):

M. Sornam ◽

V. Vanitha

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Network Models ◽

Principal Component ◽

Component Analysis ◽

Multiclass Classification ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models

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Modeling the Correlation of Composition-Processing-Property for TC11 Titanium Alloy Based on Principal Component Analysis and Artificial Neural Network

Journal of Materials Engineering and Performance ◽

10.1007/s11665-012-0162-y ◽

2012 ◽

Vol 21 (11) ◽

pp. 2231-2237 ◽

Author(s):

Yu Sun ◽

Weidong Zeng ◽

Yongqing Zhao ◽

Yitao Shao ◽

Yigang Zhou

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Titanium Alloy ◽

Principal Component ◽

Component Analysis ◽

Processing Property ◽

Artificial Neural ◽

Tc11 Titanium Alloy

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Endpoint Detection in Plasma Etching Using Principal Component Analysis and Expanded Hidden Markov Model

ECS Transactions ◽

10.1149/1.3567696 ◽

2019 ◽

Vol 34 (1) ◽

pp. 943-948 ◽

Author(s):

Min-Woo Kim ◽

Seung-Gyun Kim ◽

ShuKun Zhao ◽

Sang Jeen Hong ◽

Seung-Soo Han

Keyword(s):

Principal Component Analysis ◽

Markov Model ◽

Hidden Markov Model ◽

Plasma Etching ◽

Hidden Markov ◽

Principal Component ◽

Component Analysis ◽

Endpoint Detection

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