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Cross-talk correction method for knee kinematics in gait analysis using principal component analysis (PCA): a new proposal
Cross-talk correction method for knee kinematics in gait analysis using principal component analysis (PCA): a new proposal
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Cross-talk correction method for knee kinematics in gait analysis using principal component analysis (PCA): a new proposal

Baudet, Audrey ; Morisset, Claire ; d'Athis, Philippe ; Maillefert, Jean-Francis ; Casillas, Jean-Marie ; Ornetti, Paul ; Laroche, Davy Fasano, Alfonso

PloS one, 2014-07, Vol.9 (7), p.e102098-e102098 [Periódico revisado por pares]

United States: Public Library of Science

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2
Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease
Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease
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Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease

O'Dell, Ryan S. ; Higgins-Chen, Albert ; Gupta, Dhruva ; Chen, Ming-Kai ; Naganawa, Mika ; Toyonaga, Takuya ; Lu, Yihuan ; Ni, Gessica ; Chupak, Anna ; Zhao, Wenzhen ; Salardini, Elaheh ; Nabulsi, Nabeel B. ; Huang, Yiyun ; Arnsten, Amy F.T. ; Carson, Richard E. ; van Dyck, Christopher H. ; Mecca, Adam P.

NeuroImage clinical, 2023-01, Vol.39, p.103457-103457, Article 103457 [Periódico revisado por pares]

Netherlands: Elsevier Inc

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3
Variance The Estimation Eigen Value of Principal Component Analysis and Nonlinear Principal Component Analysis
Variance The Estimation Eigen Value of Principal Component Analysis and Nonlinear Principal Component Analysis
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Variance The Estimation Eigen Value of Principal Component Analysis and Nonlinear Principal Component Analysis

Makkulau ; Tenri Ampa, Andi ; Yahya, Irma ; La Ome, Lilis ; Saidi, La Ode Sanusi, W. ; Naufal, M.A. ; Chen, W.-H. ; Side, S. ; Abd Hamid, N.Z.

ITM web of conferences, 2024, Vol.58, p.4001 [Periódico revisado por pares]

EDP Sciences

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4
Untangling the complexity of market competition in consumer goods-A complex Hilbert PCA analysis
Untangling the complexity of market competition in consumer goods-A complex Hilbert PCA analysis
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Untangling the complexity of market competition in consumer goods-A complex Hilbert PCA analysis

Mizuno, Makoto ; Aoyama, Hideaki ; Fujiwara, Yoshi Gross, Thilo

PloS one, 2021-02, Vol.16 (2), p.e0245531-e0245531 [Periódico revisado por pares]

United States: Public Library of Science

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5
Principal component analysis tomography in near-infrared integral field spectroscopy of young stellar objects – I. Revisiting the high-mass protostar W33A
Principal component analysis tomography in near-infrared integral field spectroscopy of young stellar objects – I. Revisiting the high-mass protostar W33A
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Principal component analysis tomography in near-infrared integral field spectroscopy of young stellar objects – I. Revisiting the high-mass protostar W33A

Navarete, F ; Damineli, A ; Steiner, J E ; Blum, R D

Monthly notices of the Royal Astronomical Society, 2021-05, Vol.503 (1), p.270-291 [Periódico revisado por pares]

Oxford University Press

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6
Traffic Crash Severity Prediction-A Synergy by Hybrid Principal Component Analysis and Machine Learning Models
Traffic Crash Severity Prediction-A Synergy by Hybrid Principal Component Analysis and Machine Learning Models
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Traffic Crash Severity Prediction-A Synergy by Hybrid Principal Component Analysis and Machine Learning Models

Assi, Khaled

International journal of environmental research and public health, 2020-10, Vol.17 (20), p.7598 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
Noise Pollution Analysis Using Geographic Information System, Agglomerative Hierarchical Clustering and Principal Component Analysis in Urban Sustainability (Case Study: Tehran)
Noise Pollution Analysis Using Geographic Information System, Agglomerative Hierarchical Clustering and Principal Component Analysis in Urban Sustainability (Case Study: Tehran)
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Noise Pollution Analysis Using Geographic Information System, Agglomerative Hierarchical Clustering and Principal Component Analysis in Urban Sustainability (Case Study: Tehran)

Forouhid, Amir Esmael ; Khosravi, Shahrzad ; Mahmoudi, Jafar

Sustainability, 2023, Vol.15 (3), p.2112 [Periódico revisado por pares]

Basel: MDPI AG

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8
Use of Machine Learning and Principal Component Analysis to Retrieve Nitrogen Dioxide (NO2) With Hyperspectral Imagers and Reduce Noise in Spectral Fitting
Use of Machine Learning and Principal Component Analysis to Retrieve Nitrogen Dioxide (NO2) With Hyperspectral Imagers and Reduce Noise in Spectral Fitting
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Use of Machine Learning and Principal Component Analysis to Retrieve Nitrogen Dioxide (NO2) With Hyperspectral Imagers and Reduce Noise in Spectral Fitting

Joiner, Joanna ; Marchenko, Sergey ; Fasnacht, Zachary ; Lamsal, Lok ; Li, Can ; Vasilkov, Alexander ; Krotkov, Nickolay

Atmospheric measurement techniques, 2023-01, Vol.16 (2), p.481-500 [Periódico revisado por pares]

Goddard Space Flight Center: European Geosciences Union

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9
Comparison of Independent Component Analysis, Principal Component Analysis, and Minimum Noise Fraction Transformation for Tree Species Classification Using APEX Hyperspectral Imagery
Comparison of Independent Component Analysis, Principal Component Analysis, and Minimum Noise Fraction Transformation for Tree Species Classification Using APEX Hyperspectral Imagery
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Comparison of Independent Component Analysis, Principal Component Analysis, and Minimum Noise Fraction Transformation for Tree Species Classification Using APEX Hyperspectral Imagery

Dabiri, Zahra ; Lang, Stefan

ISPRS international journal of geo-information, 2018-12, Vol.7 (12), p.488 [Periódico revisado por pares]

Basel: MDPI AG

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10
Performance monitoring in obsessive–compulsive disorder: A temporo-spatial principal component analysis
Performance monitoring in obsessive–compulsive disorder: A temporo-spatial principal component analysis
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Performance monitoring in obsessive–compulsive disorder: A temporo-spatial principal component analysis

Klawohn, Julia ; Riesel, Anja ; Grützmann, Rosa ; Kathmann, Norbert ; Endrass, Tanja

Cognitive, affective, & behavioral neuroscience, 2014-09, Vol.14 (3), p.983-995 [Periódico revisado por pares]

Boston: Springer US

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