Search Results - "Liland, Kristian H."

Towards on-line prediction of dry matter content in whole unpeeled potatoes using near-infrared spectroscopy by Helgerud, Trygve, Wold, Jens P., Pedersen, Morten B., Liland, Kristian H., Ballance, Simon, Knutsen, Svein H., Rukke, Elling O., Afseth, Nils K.

“…Prediction of dry matter content in whole potatoes is a desired capability in the processing industry. Accurate prediction of dry matter content may greatly…”
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Comparison of the digestion of caseins and whey proteins in equine, bovine, caprine and human milks by human gastrointestinal enzymes by Inglingstad, Ragnhild Aabøe, Devold, Tove G, Eriksen, Ellen K, Holm, Halvor, Jacobsen, Morten, Liland, Kristian H, Rukke, Elling O, Vegarud, Gerd E

“…The aim of this study was to compare the digestion of milk proteins from different species using an in vitro gastrointestinal model. Raw and heated milks from…”
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Sequential and orthogonalized PLS (SO‐PLS) regression for path analysis: Order of blocks and relations between effects by Næs, Tormod, Romano, Rosaria, Tomic, Oliver, Måge, Ingrid, Smilde, Age, Liland, Kristian H.

“…This paper is about the use of the multiblock regression method sequential and orthogonalized partial least squares (SO‐PLS) for path modeling. The paper is a…”
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Crude Oil Density Prediction Improved by Multiblock Analysis of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier Transform Infrared, and Near-Infrared Spectroscopy Data by Gjelsvik, Elise L., Fossen, Martin, Brunsvik, Anders, Liland, Kristian H., Tøndel, Kristin

“…Crude oils are among the world’s most complex organic mixtures containing a large number of unique components and many analytical techniques lack resolving…”
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Fast method for GA‐PLS with simultaneous feature selection and identification of optimal preprocessing technique for datasets with many observations by Stefansson, Petter, Liland, Kristian H., Thiis, Thomas, Burud, Ingunn

“…A fast and memory‐efficient new method for performing genetic algorithm partial least squares (GA‐PLS) on spectroscopic data preprocessed in multiple different…”
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Selection of principal variables through a modified Gram–Schmidt process with and without supervision by Skogholt, Joakim, Liland, Kristian H., Næs, Tormod, Smilde, Age K., Indahl, Ulf G.

“…In various situations requiring empirical model building from highly multivariate measurements, modelling based on partial least squares regression (PLSR) may…”
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A comparison of two PLS‐based approaches to structural equation modeling by Romano, Rosaria, Tomic, Oliver, Liland, Kristian H., Smilde, Age, Næs, Tormod

“…This paper presents a new approach to path modeling named SO‐PLS path modeling (SO‐PLS‐PM) and compares it with the more well‐known PLS path modeling (PLS‐PM)…”
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Orders of magnitude speed increase in partial least squares feature selection with new simple indexing technique for very tall data sets by Stefansson, Petter, Indahl, Ulf G., Liland, Kristian H., Burud, Ingunn

“…Feature selection is a challenging combinatorial optimization problem that tends to require a large number of candidate feature subsets to be evaluated before…”
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Comparison of UV-C and Pulsed UV Light Treatments for Reduction of Salmonella, Listeria monocytogenes, and Enterohemorrhagic Escherichia coli on Eggs by Holck, Askild L, Liland, Kristian H, Drømtorp, Signe M, Carlehög, Mats, McLEOD, Anette

“…Ten percent of all strong-evidence foodborne outbreaks in the European Union are caused by Salmonella related to eggs and egg products. UV light may be used to…”
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Prediction of wine sensory properties using mid-infrared spectra of Cabernet Sauvignon and Chardonnay grape berries and wines by Niimi, Jun, Liland, Kristian H., Tomic, Oliver, Jeffery, David W., Bastian, Susan E.P., Boss, Paul K.

“…•Systematic analysis of preprocessing parameters are reported for grape and wine spectra.•Two attributes from Cabernet Sauvignon wines were predicted by grape…”
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The use of Fourier‐transform infrared spectroscopy to characterize connective tissue components in skeletal muscle of Atlantic cod (Gadus morhua L.) by Sanden, Karen W., Kohler, Achim, Afseth, Nils K., Böcker, Ulrike, Rønning, Sissel B., Liland, Kristian H., Pedersen, Mona E.

“…In the present study, Fourier‐transform infrared spectroscopy (FTIR) is investigated as a method to measure connective tissue components that are important for…”
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Estimation of composition of quinoa (Chenopodium quinoa Willd.) grains by Near-Infrared Transmission spectroscopy by Encina-Zelada, Christian, Cadavez, Vasco, Pereda, Jorge, Gómez-Pando, Luz, Salvá-Ruíz, Bettit, Teixeira, José A., Ibañez, Martha, Liland, Kristian H., Gonzales-Barron, Ursula

“…The aim of this study was to develop robust chemometric models for the routine determination of dietary constituents of quinoa (Chenopodium quinoa Willd.)…”
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micropan: an R-package for microbial pan-genomics by Snipen, Lars, Liland, Kristian Hovde

“…A pan-genome is defined as the set of all unique gene families found in one or more strains of a prokaryotic species. Due to the extensive within-species…”
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Fault-controlled asymmetric landscapes and low-relief surfaces on Vestvågøya, Lofoten, North Norway: inherited Mesozoic rift-margin structures? by Bergh, Steffen G., Liland, Kristian H., Corner, Geoffrey D., Henningsen, Tormod, Lundekvam, Petter A.

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A systematic search for discriminating sites in the 16S ribosomal RNA gene by Vinje, Hilde, Almøy, Trygve, Liland, Kristian Hovde, Snipen, Lars

“…The 16S rRNA is by far the most common genomic marker used for prokaryotic classification, and has been used extensively in metagenomic studies over recent…”
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Estimation of composition of quinoa (Chenopodium quinoa Willd.) grains by Near-Infrared Transmission spectroscopy by Encina-Zelada, Christian René, Cadavez, Vasco, Pereda, Jorge, Gómez-Pando, Luz, Salvá-Ruíz, Bettit, Teixeira, J. A., Ibañez, Martha, Liland, Kristian H., Gonzales-Barron, Ursula

“…The aim of this study was to develop robust chemometric models for the routine determination of dietary constituents of quinoa (Chenopodium quinoa Willd.)…”
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