APPI(+)-FTICR mass spectrometry coupled to partial least squares with genetic algorithm variable selection for prediction of API gravity and CCR of crude oil and vacuum residues

Fuel ◽

10.1016/j.fuel.2016.12.029 ◽

2017 ◽

Vol 193 ◽

pp. 39-44 ◽

Cited By ~ 7

Author(s):

Diana Catalina Palacio Lozano ◽

Jorge Armando Orrego-Ruiz ◽

Rafael Cabanzo Hernández ◽

Jáder Enrique Guerrero ◽

Enrique Mejía-Ospino

Keyword(s):

Mass Spectrometry ◽

Genetic Algorithm ◽

Variable Selection ◽

Crude Oil ◽

Least Squares ◽

Partial Least Squares ◽

Fticr Mass Spectrometry ◽

Selection For

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Genetic Algorithm Based Variable Selection for Partial Least Squares Regression Using ICOMP Criterion

Asian Journal of Mathematics & Statistics ◽

10.3923/ajms.2012.82.92 ◽

2012 ◽

Vol 5 (3) ◽

pp. 82-92 ◽

Cited By ~ 5

Author(s):

Ozlem Gurunlu Alma ◽

Elif Bulut

Keyword(s):

Genetic Algorithm ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

Selection For

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Variable Selection for Partial Least-Squares Calibration of Near-Infrared Data from Orthogonally Designed Experiments

Applied Spectroscopy ◽

10.1366/0003702021954692 ◽

2002 ◽

Vol 56 (3) ◽

pp. 337-345 ◽

Cited By ~ 1

Author(s):

S. Kamaledin Setarehdan ◽

John J. Soraghan ◽

David Littlejohn ◽

Daran A. Sadler

Keyword(s):

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Near Infrared ◽

Designed Experiments ◽

Selection For ◽

Infrared Data

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Comparison of a Genetic Algorithm Variable Selection and Interval Partial Least Squares for quantitative analysis of lactate in PBS

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2019.8856765 ◽

2019 ◽

Cited By ~ 1

Author(s):

M. Mamouei ◽

M. Qassem ◽

K. Budidha ◽

N. Baishya ◽

P. Vadgama ◽

...

Keyword(s):

Genetic Algorithm ◽

Quantitative Analysis ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares

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Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton–viscose textiles

Analytica Chimica Acta ◽

10.1016/j.aca.2007.03.024 ◽

2007 ◽

Vol 595 (1-2) ◽

pp. 72-79 ◽

Cited By ~ 79

Author(s):

A. Durand ◽

O. Devos ◽

C. Ruckebusch ◽

J.P. Huvenne

Keyword(s):

Genetic Algorithm ◽

Quantitative Analysis ◽

Mutual Information ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Least Squares Regression ◽

Selection Procedures

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Variable Selection Using Genetic Algorithm for Analysis of Near-Infrared Spectral Data Using Partial Least Squares

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference ◽

10.1109/iembs.2005.1616633 ◽

2005 ◽

Cited By ~ 1

Author(s):

Chit Siang Soh ◽

Kok Meng Ong ◽

P. Raveendran

Keyword(s):

Genetic Algorithm ◽

Variable Selection ◽

Least Squares ◽

Spectral Data ◽

Partial Least Squares ◽

Near Infrared ◽

Infrared Spectral

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Genetic Algorithm Interval Partial Least Squares Regression Combined Successive Projections Algorithm for Variable Selection in Near-Infrared Quantitative Analysis of Pigment in Cucumber Leaves

Applied Spectroscopy ◽

10.1366/000370210791666246 ◽

2010 ◽

Vol 64 (7) ◽

pp. 786-794 ◽

Cited By ~ 30

Author(s):

Zou Xiaobo ◽

Zhao Jiewen ◽

Mao Hanpin ◽

Shi Jiyong ◽

Yin Xiaopin ◽

...

Keyword(s):

Genetic Algorithm ◽

Quantitative Analysis ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Least Squares Regression ◽

Successive Projections Algorithm ◽

Successive Projections

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Simultaneous kinetic-spectrophotometric determination of sulfide and sulfite by partial least squares and genetic algorithm variable selection

Journal of Analytical Chemistry ◽

10.1134/s1061934807040090 ◽

2007 ◽

Vol 62 (4) ◽

pp. 348-354 ◽

Cited By ~ 8

Author(s):

J. Ghasemi ◽

D. M. Ebrahimi ◽

L. Hejazi ◽

R. Leardi ◽

A. Niazi

Keyword(s):

Genetic Algorithm ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Spectrophotometric Determination ◽

Kinetic Spectrophotometric

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Multi-Objective Genetic Algorithm-Based Sample Selection for Partial Least Squares Model Building with Applications to Near-Infrared Spectroscopic Data

Applied Spectroscopy ◽

10.1366/000370206777670576 ◽

2006 ◽

Vol 60 (6) ◽

pp. 631-640 ◽

Cited By ~ 4

Author(s):

Hideyuki Shinzawa ◽

Boyan Li ◽

Takehiro Nakagawa ◽

Katsuhiko Maruo ◽

Yukihiro Ozaki

Keyword(s):

Genetic Algorithm ◽

Least Squares ◽

Partial Least Squares ◽

Spectroscopic Data ◽

Near Infrared ◽

Model Building ◽

Sample Selection ◽

Multi Objective Genetic Algorithm ◽

Partial Least Squares Model ◽

Selection For

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Soil type recognition as improved by genetic algorithm-based variable selection using near infrared spectroscopy and partial least squares discriminant analysis

Scientific Reports ◽

10.1038/srep10930 ◽

2015 ◽

Vol 5 (1) ◽

Cited By ~ 13

Author(s):

Hongtu Xie ◽

Jinsong Zhao ◽

Qiubing Wang ◽

Yueyu Sui ◽

Jingkuan Wang ◽

...

Keyword(s):

Genetic Algorithm ◽

Infrared Spectroscopy ◽

Discriminant Analysis ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Near Infrared Spectroscopy ◽

Soil Type ◽

Near Infrared

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Resolution of Differential Pulse Voltammetric Peaks Using Genetic Algorithm Based Variable Selection-Partial Least Squares and Principal Component-Artificial Neural Networks

Journal of the Chinese Chemical Society ◽

10.1002/jccs.200500004 ◽

2005 ◽

Vol 52 (1) ◽

pp. 21-28 ◽

Cited By ~ 13

Author(s):

Mir Reza Majidi ◽

Karim Asadpour-Zeynali

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Artificial Neural Networks ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Principal Component ◽

Differential Pulse ◽

Artificial Neural

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