-
5
-
-
0035846493
-
Microemulsion systems applied to breakdown petroleum emulsions
-
T.N.C. Dantas, A.A.D. Neto, and E.F. Moura Microemulsion systems applied to breakdown petroleum emulsions J Petrol Sci Eng 32 2001 145 149
-
(2001)
J Petrol Sci Eng
, vol.32
, pp. 145-149
-
-
Dantas, T.N.C.1
Neto, A.A.D.2
Moura, E.F.3
-
6
-
-
40249114007
-
Measuring salinity in crude oils: Evaluation of methods and an improved procedure
-
M. Fortuny, E.B. Silva, A.C. Filho, R.L.F.V. Melo, M. Nele, and R.C.C. Coutinho Measuring salinity in crude oils: evaluation of methods and an improved procedure Fuel 87 2008 1241 1248
-
(2008)
Fuel
, vol.87
, pp. 1241-1248
-
-
Fortuny, M.1
Silva, E.B.2
Filho, A.C.3
Melo, R.L.F.V.4
Nele, M.5
Coutinho, R.C.C.6
-
7
-
-
23044454572
-
A comparative study of diesel analysis by FTIR, FTNIR and FT-Raman spectroscopy using PLS and artificial neural network analysis
-
V.O. Santos Jr, F.C.C. Oliveira, D.G. Lima, A.C. Petry, E. Garcia, and P.A.Z. Suarez A comparative study of diesel analysis by FTIR, FTNIR and FT-Raman spectroscopy using PLS and artificial neural network analysis Anal Chim Acta 547 2005 188 196
-
(2005)
Anal Chim Acta
, vol.547
, pp. 188-196
-
-
Santos, Jr.V.O.1
Oliveira, F.C.C.2
Lima, D.G.3
Petry, A.C.4
Garcia, E.5
Suarez, P.A.Z.6
-
8
-
-
78649736254
-
Simultaneous determination of quality parameters of biodiesel/diesel blends using HATR-FTIR spectra and PLS, iPLS or siPLS regressions
-
M.F. Ferrão, M.S. Viera, R.E.P. Pazos, D. Fachini, A.E. Gerbase, and L. Marder Simultaneous determination of quality parameters of biodiesel/diesel blends using HATR-FTIR spectra and PLS, iPLS or siPLS regressions Fuel 90 2011 701 706
-
(2011)
Fuel
, vol.90
, pp. 701-706
-
-
Ferrão, M.F.1
Viera, M.S.2
Pazos, R.E.P.3
Fachini, D.4
Gerbase, A.E.5
Marder, L.6
-
9
-
-
77958585620
-
Total acid number determination in residues of crude oil distillation using ATR-FTIR and variable selection by chemometric methods
-
G. Parisotto, M.F. Ferrão, A.L.H. Müller, E.I. Müller, M.F.P. Santos, and R.C.L. Guimarães Total acid number determination in residues of crude oil distillation using ATR-FTIR and variable selection by chemometric methods Energy Fuels 24 2010 5474 5478
-
(2010)
Energy Fuels
, vol.24
, pp. 5474-5478
-
-
Parisotto, G.1
Ferrão, M.F.2
Müller, A.L.H.3
Müller, E.I.4
Santos, M.F.P.5
Guimarães, R.C.L.6
-
10
-
-
36248946789
-
Multivariate calibration in fourier transform infrared spectrometry as a tool to detect adulterations in Brazilian gasoline
-
L.S.G. Teixeira, F.S. Oliveira, H.C. Santos, P.W.L. Cordeiro, and S.Q. Almeida Multivariate calibration in fourier transform infrared spectrometry as a tool to detect adulterations in Brazilian gasoline Fuel 87 2008 346 352
-
(2008)
Fuel
, vol.87
, pp. 346-352
-
-
Teixeira, L.S.G.1
Oliveira, F.S.2
Santos, H.C.3
Cordeiro, P.W.L.4
Almeida, S.Q.5
-
11
-
-
71549131338
-
Prediction of properties of diesel/biodiesel blends by infrared spectroscopy and multivariate calibration
-
L.F.B. Lira, F.V.C. Vasconcelos, C.F. Pereira, A.P.S. Paim, L. Stragevitch, and M.F. Pimentel Prediction of properties of diesel/biodiesel blends by infrared spectroscopy and multivariate calibration Fuel 89 2010 405 409
-
(2010)
Fuel
, vol.89
, pp. 405-409
-
-
Lira, L.F.B.1
Vasconcelos, F.V.C.2
Pereira, C.F.3
Paim, A.P.S.4
Stragevitch, L.5
Pimentel, M.F.6
-
12
-
-
79959693363
-
Determination of biodiesel adulteration with raw vegetable oil from ATR-FTIR data using chemometric tools
-
I.P. Soares, T.F. Rezende, R.C.C. Pereira, C.G. dos Santos, and I.C.P. Fortes Determination of biodiesel adulteration with raw vegetable oil from ATR-FTIR data using chemometric tools J Braz Chem Soc 7 2011 1229 1235
-
(2011)
J Braz Chem Soc
, vol.7
, pp. 1229-1235
-
-
Soares, I.P.1
Rezende, T.F.2
Pereira, R.C.C.3
Dos Santos, C.G.4
Fortes, I.C.P.5
-
13
-
-
79952535556
-
Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy
-
R.M. Balabin, E.I. Lomakina, and R.Z. Safieva Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy Fuel 90 2011 2007 2015
-
(2011)
Fuel
, vol.90
, pp. 2007-2015
-
-
Balabin, R.M.1
Lomakina, E.I.2
Safieva, R.Z.3
-
14
-
-
0033362602
-
Estimation of middle distillate fuel properties by FT-IR
-
G.E. Fodor, R.A. Mason, and S.A. Hutzler Estimation of middle distillate fuel properties by FT-IR Appl Spectrosc 53 1999 1292 1298
-
(1999)
Appl Spectrosc
, vol.53
, pp. 1292-1298
-
-
Fodor, G.E.1
Mason, R.A.2
Hutzler, S.A.3
-
15
-
-
0033899637
-
Comparison of near-infrared, infrared, and Raman spectroscopy for the analysis of heavy petroleum products
-
H. Chung, and M.-S. Ku Comparison of near-infrared, infrared, and Raman spectroscopy for the analysis of heavy petroleum products Appl Spectrosc 54 2000 239 245
-
(2000)
Appl Spectrosc
, vol.54
, pp. 239-245
-
-
Chung, H.1
Ku, M.-S.2
-
16
-
-
85162676194
-
PLS regression methods
-
A. Höskuldsson PLS regression methods J Chemom 2 1998 211 228
-
(1998)
J Chemom
, vol.2
, pp. 211-228
-
-
Höskuldsson, A.1
-
18
-
-
77957074402
-
A multivariate calibration approach for determination of petroleum hydrocarbons in water by means of IR spectroscopy
-
M.D. Ruiz, I.T. Bustamante, A. Dago, N. Hernández, A.C. Núñez, and D. Porro A multivariate calibration approach for determination of petroleum hydrocarbons in water by means of IR spectroscopy J Chemom 24 2010 444 447
-
(2010)
J Chemom
, vol.24
, pp. 444-447
-
-
Ruiz, M.D.1
Bustamante, I.T.2
Dago, A.3
Hernández, N.4
Núñez, A.C.5
Porro, D.6
-
19
-
-
84861196973
-
Multivariate near infrared spectroscopy models for predicting the oxidative stability of biodiesel: Effect of antioxidants addition
-
N. Canha, P. Felizardo, J.C. Menezes, and M.J.N. Correia Multivariate near infrared spectroscopy models for predicting the oxidative stability of biodiesel: effect of antioxidants addition Fuel 97 2012 352 357
-
(2012)
Fuel
, vol.97
, pp. 352-357
-
-
Canha, N.1
Felizardo, P.2
Menezes, J.C.3
Correia, M.J.N.4
-
20
-
-
0033970548
-
NIR calibration in non-linear systems: Different PLS approaches and artificial neural networks
-
M. Blanco, J. Coello, H. Iturriaga, S. Maspoch, and J. Page's NIR calibration in non-linear systems: different PLS approaches and artificial neural networks Chemom Intel Lab Syst 50 2000 75 82
-
(2000)
Chemom Intel Lab Syst
, vol.50
, pp. 75-82
-
-
Blanco, M.1
Coello, J.2
Iturriaga, H.3
Maspoch, S.4
Page'S, J.5
-
21
-
-
4043137356
-
A tutorial on support vector regression
-
A.J. Smola, and B. Schölkopf A tutorial on support vector regression Stat Comp 14 2004 199 222
-
(2004)
Stat Comp
, vol.14
, pp. 199-222
-
-
Smola, A.J.1
Schölkopf, B.2
-
22
-
-
34249753618
-
Support-vector network
-
C. Cortes, and V.N. Vapnik Support-vector network Mach Learn 20 1995 273 297
-
(1995)
Mach Learn
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.N.2
-
23
-
-
44649101311
-
Robust and efficient multiclass SVM models for phrase pattern recognition
-
Y.C. Wu, Y.S. Lee, and J.C. Yang Robust and efficient multiclass SVM models for phrase pattern recognition Pat Recog 41 2008 2874 2889
-
(2008)
Pat Recog
, vol.41
, pp. 2874-2889
-
-
Wu, Y.C.1
Lee, Y.S.2
Yang, J.C.3
-
24
-
-
77649232848
-
Multiclass support vector classification via coding and regression
-
P.C. Chen, K.Y. Lee, T.J. Lee, and S.Y. Huang Multiclass support vector classification via coding and regression Neurocomputing 73 2010 1501 1512
-
(2010)
Neurocomputing
, vol.73
, pp. 1501-1512
-
-
Chen, P.C.1
Lee, K.Y.2
Lee, T.J.3
Huang, S.Y.4
-
25
-
-
79251595806
-
Self-organizing maps and support vector regression as aids to coupled chromatography: Illustrated by predicting spoilage in apples using volatile organic compounds
-
S.S. Fong, V.S. Kiss, and R.G. Brereton Self-organizing maps and support vector regression as aids to coupled chromatography: illustrated by predicting spoilage in apples using volatile organic compounds Talanta 83 2011 1269 1278
-
(2011)
Talanta
, vol.83
, pp. 1269-1278
-
-
Fong, S.S.1
Kiss, V.S.2
Brereton, R.G.3
-
26
-
-
78649708839
-
Development of robust calibration models using support vector machines for spectroscopic monitoring of blood glucose
-
I. Barman, C.R. Kong, N.C. Dingari, R.R. Dasari, and M.S. Feld Development of robust calibration models using support vector machines for spectroscopic monitoring of blood glucose Anal Chem 82 2010 7000 7007
-
(2010)
Anal Chem
, vol.82
, pp. 7000-7007
-
-
Barman, I.1
Kong, C.R.2
Dingari, N.C.3
Dasari, R.R.4
Feld, M.S.5
-
27
-
-
58149203252
-
Support vector machines and its applications in chemistry
-
H. Li, Y. Liang, and Q. Xu Support vector machines and its applications in chemistry Chemom Intel Lab Syst 95 2009 188 198
-
(2009)
Chemom Intel Lab Syst
, vol.95
, pp. 188-198
-
-
Li, H.1
Liang, Y.2
Xu, Q.3
-
28
-
-
61349156692
-
Support vector machines (SVM) in near infrared (NIR) spectroscopy: Focus on parameters optimization and model interpretation
-
O. Devos, C. Ruckebusch, A. Durand, L. Duponchel, and J.P. Huvenne Support vector machines (SVM) in near infrared (NIR) spectroscopy: focus on parameters optimization and model interpretation Chemom Intel Lab Syst 96 2009 27 33
-
(2009)
Chemom Intel Lab Syst
, vol.96
, pp. 27-33
-
-
Devos, O.1
Ruckebusch, C.2
Durand, A.3
Duponchel, L.4
Huvenne, J.P.5
-
29
-
-
34250882118
-
Visualisation and interpretation of support vector regression models
-
B. Üstün, W.J. Melssen, and L.M.C. Buydens Visualisation and interpretation of support vector regression models Anal Chim Acta 595 2007 299 309
-
(2007)
Anal Chim Acta
, vol.595
, pp. 299-309
-
-
Üstün, B.1
Melssen, W.J.2
Buydens, L.M.C.3
-
30
-
-
0031272926
-
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
-
B. Schölkopf, K.K. Sung, C.J.C. Burges, F. Girosi, P. Niyogi, and T. Poggio Comparing support vector machines with Gaussian kernels to radial basis function classifiers IEEE Trans Sign Process 45 1997 2758 2765
-
(1997)
IEEE Trans Sign Process
, vol.45
, pp. 2758-2765
-
-
Schölkopf, B.1
Sung, K.K.2
Burges, C.J.C.3
Girosi, F.4
Niyogi, P.5
Poggio, T.6
-
31
-
-
70350356261
-
A comparison of nine PLS1 algorithms
-
M. Andersson A comparison of nine PLS1 algorithms J Chemom 23 2009 518 529
-
(2009)
J Chemom
, vol.23
, pp. 518-529
-
-
Andersson, M.1
-
36
-
-
42749097121
-
-
Wenatchee: Eigenvector Research Inc.
-
Wise BM, Gallagher NB, Bro R, Shaver JM, Windig W, Koch RS. PLS Toolbox Version 4.0 for Use with Matlab. Wenatchee: Eigenvector Research Inc.; 2006.
-
(2006)
PLS Toolbox Version 4.0 for Use with Matlab
-
-
Wise, B.M.1
Gallagher, N.B.2
Bro, R.3
Shaver, J.M.4
Windig, W.5
Koch, R.S.6
-
38
-
-
0022723652
-
Error propagation and figures of merit for quantification by solving matrix equations
-
A. Lorber Error propagation and figures of merit for quantification by solving matrix equations Anal Chem 58 1986 1167 1186
-
(1986)
Anal Chem
, vol.58
, pp. 1167-1186
-
-
Lorber, A.1
-
39
-
-
33645217095
-
Uncertainty estimation and figures of merit for multivariate calibration
-
A.C. Olivieri, N.K.M. Faber, J. Ferré, R. Boqué, J.H. Kalivas, and H. Mark Uncertainty estimation and figures of merit for multivariate calibration IUPAC 78 2006 633 661
-
(2006)
IUPAC
, vol.78
, pp. 633-661
-
-
Olivieri, A.C.1
Faber, N.K.M.2
Ferré, J.3
Boqué, R.4
Kalivas, J.H.5
Mark, H.6
-
40
-
-
34247543471
-
Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy
-
P. Valderrama, J.W.B. Braga, and R.J. Poppi Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy J Braz Chem Soc 18 2007 259 266
-
(2007)
J Braz Chem Soc
, vol.18
, pp. 259-266
-
-
Valderrama, P.1
Braga, J.W.B.2
Poppi, R.J.3
-
41
-
-
84861972895
-
PLS regression on spectroscopic data for the prediction of crude oil quality: API gravity and aliphatic/aromatic ratio
-
O. Abbas, C. Rebufa, N. Dupuy, A. Permanyer, and J. Kister PLS regression on spectroscopic data for the prediction of crude oil quality: API gravity and aliphatic/aromatic ratio Fuel 98 2012 5 14
-
(2012)
Fuel
, vol.98
, pp. 5-14
-
-
Abbas, O.1
Rebufa, C.2
Dupuy, N.3
Permanyer, A.4
Kister, J.5
|