Variables selection methods in near-infrared spectroscopy.
about
An Ensemble Successive Project Algorithm for Liquor Detection Using Near Infrared Sensor.Inline Measurement of Particle Concentrations in Multicomponent Suspensions using Ultrasonic Sensor and Least Squares Support Vector Machines.Quantification of pharmaceuticals via transmission Raman spectroscopy: data sub-selection.Preprocessing of NMR metabolomics data.Spectroscopic Diagnosis of Arsenic Contamination in Agricultural Soils.Detection of cracks on tomatoes using a hyperspectral near-infrared reflectance imaging system.Rapid screening of anti-infective drug products for counterfeits using Raman spectral library-based correlation methods.Soil type recognition as improved by genetic algorithm-based variable selection using near infrared spectroscopy and partial least squares discriminant analysisOnline near-infrared analysis coupled with MWPLS and SiPLS models for the multi-ingredient and multi-phase extraction of licorice (Gancao).Detection of Fungus Infection on Petals of Rapeseed (Brassica napus L.) Using NIR Hyperspectral Imaging.Optimal Regression Method for Near-Infrared Spectroscopic Evaluation of Articular Cartilage.Boosting the Performance of Genetic Algorithms for Variable Selection in Partial Least Squares Spectral Calibrations.A Comparative Investigation of the Combined Effects of Pre-Processing, Wavelength Selection, and Regression Methods on Near-Infrared Calibration Model Performance.Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes.Fiber-Content Measurement of Wool-Cashmere Blends Using Near-Infrared Spectroscopy.Hyperspectral prediction of leaf area index of winter wheat in irrigated and rainfed fields.Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology.A Partial Least Squares based algorithm for parsimonious variable selection.Development and validation of near-infrared spectroscopy for the prediction of forage quality parameters in Lolium multiflorum.A Simplified, Light Emitting Diode (LED) Based, Modular System to be Used for the Rapid Evaluation of Fruit and Vegetable Quality: Development and Validation on Dye Solutions.Weighted fusion of multiple models for wavelength selection.Petroleomics by electrospray ionization FT-ICR mass spectrometry coupled to partial least squares with variable selection methods: prediction of the total acid number of crude oils.Development and validation of NIR-chemometric methods for chemical and pharmaceutical characterization of meloxicam tablets.Resolution of phenolic antioxidant mixtures employing a voltammetric bio-electronic tongue.Research on the Effects of Drying Temperature on Nitrogen Detection of Different Soil Types by Near Infrared Sensors.Infrared spectroscopy and multivariate methods as a tool for identification and quantification of fuels and lubricant oils in soil.Potential effectiveness of visible and near infrared spectroscopy coupled with wavelength selection for real time grapevine leaf water status measurement.Non-destructive geographical traceability of sea cucumber (Apostichopus japonicus) using near infrared spectroscopy combined with chemometric methods.Firmness prediction in Prunus persica 'Calrico' peaches by visible/short-wave near infrared spectroscopy and acoustic measurements using optimised linear and non-linear chemometric models.Baseline Correction of Diffuse Reflection Near-Infrared Spectra Using Searching Region Standard Normal Variate (SRSNV).Species authentication and geographical origin discrimination of herbal medicines by near infrared spectroscopy: A review.Soil organic carbon content estimation with laboratory-based visible-near-infrared reflectance spectroscopy: feature selection.Using PAT to accelerate the transition to continuous API manufacturing.Simultaneous determination of amino acid nitrogen and total acid in soy sauce using near infrared spectroscopy combined with characteristic variables selection.Pre-visual diagnostics of phosphorus deficiency in mini-cucumber plants using near-infrared reflectance spectroscopy.Monitoring the Age of Mosquito Populations Using Near-Infrared Spectroscopy.In vivo diagnosis of cervical precancer using Raman spectroscopy and genetic algorithm techniques.Spectral multivariate calibration with wavelength selection using variants of Tikhonov regularization.Comprehensive, quantitative bioprocess productivity monitoring using fluorescence EEM spectroscopy and chemometrics.Two-dimensional correlation spectroscopy (2D-COS) variable selection for near-infrared microscopy discrimination of meat and bone meal in compound feed.
P2860
Q30391126-C962F0DD-DE22-4DC2-B0BB-9D9CFBCA35D9Q30400565-6B0EC652-6D91-45E3-89E4-01C2EC586707Q30693980-C41825EA-7B6C-44F4-9DBB-BC60CC7EE66AQ30903618-DDE673CC-FD5C-4690-A456-A96057DCBE3BQ33793710-6ED6C029-6DEF-4D2D-9CCD-3265B0103F8FQ34554244-46BA552F-549D-4D65-AAB6-2CE87755237CQ35786304-C1CD39F0-EDE1-4EC2-BBC2-40EB002B0240Q36293686-A98DD2B4-391D-415A-AEEA-03C8365B1C58Q36383591-960EF808-AC0F-49DA-86F8-39039BC159C4Q37497480-3C9DC28B-B448-4A82-8E1C-A84FD8F45BA0Q38655608-1F8DBE9B-46B3-4290-8ECC-D6DDD610F8C8Q38767604-44A9CC3E-82EB-4E49-AE1B-A15D963F2361Q38867678-B8846D93-A8FB-4AE6-BF19-F46FC5A95A78Q38924117-E2BAC963-EB8A-4607-9BC6-4B0FED450D3BQ40472929-E903AF5A-F27B-4CFA-842C-09F0A027B38DQ41444761-DBC9C75F-3FFB-4BAF-B03D-67D54D9FFE8FQ41447970-B274912E-8242-431A-9C1B-79AF4C690C0DQ41874229-7F59069C-8AE8-4282-81EC-9858C6C3CB02Q42125627-B1326AE5-97E6-43C3-B1D8-50114BB39A02Q42593510-6B1296D9-2F22-4567-AF88-8CF8A477C8DAQ43456970-14CB9B24-7981-455A-9F92-CD03430D35E9Q44813753-95B7C04D-ED69-4CF4-A2F6-FC479B7CF1F2Q44927851-B89FC668-11FF-483A-B554-6CFF19BFE1ADQ45719012-9869C99E-2168-4876-8154-116C5ADD3D90Q47554697-C19E87BF-EA0D-48C7-8B10-208041171816Q47566219-FABE3F47-EBC7-4065-B3CB-A55EE1520AFCQ47671580-740A3078-3DAF-45AC-B708-A90CD65387B8Q48094855-F0129ED9-18F5-4D44-8A40-EF878D8AEBBFQ48269863-BBC111C7-5CDA-4C9C-945C-DB832EB77DCAQ48717988-7E337C2F-C6A5-44FC-9134-34370012F839Q49350109-A61766C2-9B85-44BF-BF6C-D4C2F00CCA19Q51064428-05A405B5-D082-45C5-B7E3-D594C90A9844Q51204064-62DFD9C7-CBC8-4036-81AA-BC3E7F65D003Q51209152-8EC5E591-644B-4516-B5EE-1F8EFACD4790Q51288944-C853F4F5-7DA6-4C45-8A38-D6BF3DFD6359Q51335995-B65F4D71-395B-4D07-BB74-09F8822E0EC3Q51536959-F7A66EAA-C594-4981-A0A3-59346AE6B42BQ51626578-1DD32FC2-D4B6-4CF1-9A82-377EA1B63CFEQ51750215-6309AF5B-5E69-4253-89F8-458E9993FC28Q53491735-B7380F50-09D7-4F2C-938C-A12BAD4A2AB1
P2860
Variables selection methods in near-infrared spectroscopy.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 30 March 2010
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Variables selection methods in near-infrared spectroscopy.
@en
Variables selection methods in near-infrared spectroscopy.
@en-gb
Variables selection methods in near-infrared spectroscopy.
@nl
type
label
Variables selection methods in near-infrared spectroscopy.
@en
Variables selection methods in near-infrared spectroscopy.
@en-gb
Variables selection methods in near-infrared spectroscopy.
@nl
prefLabel
Variables selection methods in near-infrared spectroscopy.
@en
Variables selection methods in near-infrared spectroscopy.
@en-gb
Variables selection methods in near-infrared spectroscopy.
@nl
P2093
P1476
Variables selection methods in near-infrared spectroscopy.
@en
P2093
Mao Hanpin
Mel Holmes
Zhao Jiewen
Zou Xiaobo
P356
10.1016/J.ACA.2010.03.048
P50
P577
2010-03-30T00:00:00Z