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Results 1 to 25 of 1805

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Discrimination of viable and empty seeds of Pinus patula Schiede & Deppe with near-infrared spectroscopyTIGABU, Mulualem; ODEN, Per Christer.New forests. 2003, Vol 25, Num 3, pp 163-176, issn 0169-4286, 14 p.Article

Investigations of bagged kernel partial least squares (KPLS) and boosting KPLS with applications to near-infrared (NIR) spectraSHINZAWA, Hideyuki; JIANG, Jian-Hui; RITTHIRUANGDEJ, Pitiporn et al.Journal of chemometrics. 2007, Vol 20, Num 8-10, pp 436-444, issn 0886-9383, 9 p.Article

On a versatile second-order multivariate calibration method based on partial least-squares and residual bilinearization : Second-order advantage and precision propertiesOLIVIERI, Alejandro C.Journal of chemometrics. 2005, Vol 19, Num 4, pp 253-265, issn 0886-9383, 13 p.Article

Mid-IR spectroscopy for rapid on-line analysis in heterogeneous catalyst testingWILKIN, Owen M; MAITLIS, Peter M; HAYNES, Anthony et al.Catalysis today. 2003, Vol 81, Num 3, pp 309-317, issn 0920-5861, 9 p.Conference Paper

Annual electricity consumption analysis and forecasting of China based on few observations methodsMING MENG; DONGXIAO NIU.Energy conversion and management. 2011, Vol 52, Num 2, pp 953-957, issn 0196-8904, 5 p.Article

Quantitative analysis of binary adsorbed protein films by time of flight secondary ion mass spectrometryWAGNER, M. S; SHEN, M; HORBETT, T. A et al.Journal of biomedical materials research. 2003, Vol 64, Num 1, pp 1-11, issn 0021-9304, 11 p., aArticle

Bilinear modelling of batch processes. Part I theoretical discussionCAMACHO, José; PICO, Jesus; FERRER, Alberto et al.Journal of chemometrics. 2008, Vol 22, Num 5-6, pp 299-308, issn 0886-9383, 10 p.Article

Batch-to-batch iterative learning control and within-batch on-line control for end-point qualities using MPLS-based dEWMAJUNGHUI CHEN; LIN, Kuen-Chi.Chemical engineering science. 2008, Vol 63, Num 4, pp 977-990, issn 0009-2509, 14 p.Article

On-line batch process monitoring using hierarchical kernel partial least squaresYINGWEI ZHANG; ZHIYONG HU.Chemical engineering research & design. 2011, Vol 89, Num 10, pp 2078-2084, issn 0263-8762, 7 p.Article

Diagnosis of Process Faults in Chemical Systems Using a Local Partial Least Squares ApproachKRUGER, Uwe; DIMITRIADIS, Grigorios.AIChE journal. 2008, Vol 54, Num 10, pp 2581-2596, issn 0001-1541, 16 p.Article

Peak-finding partial least squares for the analysis of 1H NMR spectraAMMANN, L. P; MERRITT, M; SAGALOWSKY, A et al.Journal of chemometrics. 2007, Vol 20, Num 6-7, pp 231-238, issn 0886-9383, 8 p.Article

Spectrophotometric simultaneous determination of nitrophenol isomers by orthogonal signal correction and partial least squaresNIAZI, Ali; YAZDANIPOUR, Ateesa.Journal of hazardous materials. 2007, Vol 146, Num 1-2, pp 421-427, issn 0304-3894, 7 p.Article

Gone but not forgotten : The effects of cancelled intentions on the neural correlates of prospective memoryWEST, Robert; WINDY MCNEMEY, M; TRAVERS, Stephanie et al.International journal of psychophysiology. 2007, Vol 64, Num 3, pp 215-225, issn 0167-8760, 11 p.Article

Nonlinear Multivariate Quality Estimation and Prediction Based on Kernel Partial Least SquaresXI ZHANG; WEIWU YAN; HUIHE SHAO et al.Industrial & engineering chemistry research. 2008, Vol 47, Num 4, pp 1120-1131, issn 0888-5885, 12 p.Article

The model space in partial least squares regressionPELL, Randy J; RAMOS, L. Scott; MANNE, Rolf et al.Journal of chemometrics. 2007, Vol 21, Num 3-4, pp 165-172, issn 0886-9383, 8 p.Article

Classification of AE transients based on numerical simulations of composite laminatesJOHNSON, Mikael.NDT & E international. 2003, Vol 36, Num 5, pp 319-329, issn 0963-8695, 11 p.Article

Localized, Adaptive Recursive Partial Least Squares Regression for Dynamic System ModelingWANGDONG NI; SOON KEAT TAN; WUN JERN NG et al.Industrial & engineering chemistry research. 2012, Vol 51, Num 23, pp 8025-8039, issn 0888-5885, 15 p.Article

Development of Self-Validating Soft Sensors Using Fast Moving Window Partial Least SquaresJIALIN LIU; CHEN, Ding-Sou; SHEN, Jui-Fu et al.Industrial & engineering chemistry research. 2010, Vol 49, Num 22, pp 11530-11546, issn 0888-5885, 17 p.Article

Untargeted detection and quantitative analysis of poplar balata (PB) in Chinese propolis by FT-NIR spectroscopy and chemometricsLU XU; YAN, Si-Min; CAI, Chen-Bo et al.Food chemistry. 2013, Vol 141, Num 4, pp 4132-4137, issn 0308-8146, 6 p.Article

Stacked partial least squares regression analysis for spectral calibration and predictionWANGDONG NI; BROWN, Steven D; RUILIN MAN et al.Journal of chemometrics. 2009, Vol 23, Num 9-10, pp 505-517, issn 0886-9383, 13 p.Article

Spectral regions selection to improve prediction ability of PLS models by changeable size moving window partial least squares and searching combination moving window partial least squaresDU, Y. P; LIANG, Y. Z; JIANG, J. H et al.Analytica chimica acta. 2004, Vol 501, Num 2, pp 183-191, issn 0003-2670, 9 p.Article

A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral dataABDEL-RAHMAN, Elfatih M; MUTANGA, Onisimo; ODINDI, John et al.Computers and electronics in agriculture. 2014, Vol 106, pp 11-19, issn 0168-1699, 9 p.Article

X-tended target projection (XTP) : comparison with orthogonal partial least squares (OPLS) and PLS post-processing by similarity transformation (PLS + ST)KVALHEIM, Olav M; RAJALAHTI, Tarja; ARNEBERG, Reidar et al.Journal of chemometrics. 2009, Vol 23, Num 1-2, pp 49-55, issn 0886-9383, 7 p.Article

An empirical research on the influencing factors of regional C02 emissions: Evidence from Beijing city, ChinaZHAOHUA WANG; FANGCHAO YIN; YIXIANG ZHANG et al.Applied energy. 2012, Vol 100, pp 277-284, issn 0306-2619, 8 p.Article

Predicting the Buckwheat Flour Ratio for Commercial Dried Buckwheat Noodles Based on the Fluorescence FingerprintSHIBATA, Mario; FUJITA, Kaori; SUGIYAMA, Junichi et al.Bioscience, biotechnology, and biochemistry. 2011, Vol 75, Num 7, pp 1312-1316, issn 0916-8451, 5 p.Article

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