Browsing Brage NMBU by Author "Liland, Kristian Hovde"
Now showing items 1-20 of 40
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4S Peak Filling – baseline estimation by iterative mean suppression
Liland, Kristian Hovde (Journal article; Peer reviewed, 2015) -
A similarity index for comparing coupled matrices
Indahl, Ulf Geir; Næs, Tormod; Liland, Kristian Hovde (Journal article; Peer reviewed, 2018) -
A systematic search for discriminating sites in the 16S ribosomal RNA gene
Vinje, Hilde; Almøy, Trygve; Liland, Kristian Hovde; Snipen, Lars (Journal article; Peer reviewed, 2014) -
Analysis of proteins from cerebrospinal fluid tests in search of biomarkers characterizing Multiple sclerosis
El-Hajj Eid, Karim (Master thesis, 2020)There are contradicting theories describing Multiple sclerosis (MS). This study attempts to understand MS through interpreting the bio-markers of MS. Recursive feature elimination with cross validation (RFECV) was used to ... -
Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
Skogholt, Joakim; Liland, Kristian Hovde; Indahl, Ulf Geir (Journal article; Peer reviewed, 2018) -
Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
Skogholt, Joakim; Liland, Kristian Hovde; Indahl, Ulf Geir (Journal article; Peer reviewed, 2018) -
Characterization of Oxidative Stability of Fish Oil- and Plant Oil-Enriched Skimmed Milk
Saga, Linda; Kristinova, Vera; Kirkhus, Bente; Jacobsen, Charlotte; Skaret, Josefine; Liland, Kristian Hovde; Rukke, Elling-Olav (Journal article; Peer reviewed, 2013) -
Co-fermentation Involving Saccharomyces cerevisiae and Lactobacillus Species Tolerant to Brewing-Related Stress Factors for Controlled and Rapid Production of Sour Beer
Dysvik, Anna; Leanti La Rosa, Sabina; Liland, Kristian Hovde; Myhrer, Kristine S.; Østlie, Hilde Marit; De Rouck, Gert; Rukke, Elling-Olav; Westereng, Bjørge; Wicklund, Trude (Peer reviewed; Journal article, 2020)Increasing popularity of sour beer urges the development of novel solutions for controlled fermentations both for fast acidification and consistency in product flavor and quality. One possible approach is the use of ... -
Comparing K-mer based methods for improved classification of 16S sequences
Vinje, Hilde; Liland, Kristian Hovde; Almøy, Trygve; Snipen, Lars-Gustav (Journal article; Peer reviewed, 2015) -
Computer vision for surface analysis of stretch wrapped pallets
Dramstad, Morten (Master thesis, 2020)The majority of the handling of goods in a distribution center is performed automatically, except removing of stretch film from arriving pallets. The use of cameras and artificial intelligence to analyze the pallets, decide ... -
Confidence ellipsoids for ASCA models based on multivariate regression theory
Liland, Kristian Hovde; Smilde, Age K.; Marini, Federico; Næs, Tormod (Journal article; Peer reviewed, 2018) -
Designing a risk-based surveillance program for Mycobacterium avium ssp. paratuberculosis in Norwegian dairy herds using multivariate statistical process control analysis
Whist, Anne C; Liland, Kristian Hovde; Jonsson, Malin E; Sæbø, Solve; Sviland, Ståle; Østerås, Olav; Norström, Madelaine; Hopp, Petter (Journal article; Peer reviewed, 2014)Surveillance programs for animal diseases are critical to early disease detection and risk estimation and to documenting a population’s disease status at a given time. The aim of this study was to describe a risk-based ... -
Detection and quantification of rot in harvested trees using convolutional neural networks
Nowell, Tyrone Carlisle (Master thesis, 2019)Root and Butt-Rot (RBR) is having a significant economic impact on the forest industry and is expected to increase with climate change. The current management strategies are becoming less effective, and little data on ... -
Distribution based truncation for variable selection in subspace methods for multivariate regression
Liland, Kristian Hovde; Høy, Martin; Martens, Harald; Sæbø, Solve (Journal article; Peer reviewed, 2013)Analysis of data containing a vast number of features, but only a limited number of informative ones, requires methods that can separate true signal from noise variables. One class of methods attempting this is the sparse ... -
Effects of glucose availability in Lactobacillus sakei; metabolic change and regulation of the proteome and transcriptome
McLeod, Anette; Mosleth, Ellen Færgestad; Rud, Ida; Branco dos Santos, Filipe; Snipen, Lars-Gustav; Liland, Kristian Hovde; Axelsson, Lars (Journal article; Peer reviewed, 2017)Effects of glucose availability were investigated in Lactobacillus sakei strains 23K and LS25 cultivated in anaerobic, glucose-limited chemostats set at high (D = 0.357 h-1) and low (D = 0.045 h-1) dilution rates. We ... -
Fault analysis of integrated circuit using fixed time events and clustering of time series data
Hvidsten, Jardar (Master thesis, 2020)The evolution of society is strongly dependent on technology development. Hardware (HW) development is crucial, however software (SW) development has become increasingly important in recent years due to the automation and ... -
fixedTimeEvents: An R package for the distribution of distances between discrete events in fixed time
Liland, Kristian Hovde; Snipen, Lars-Gustav (Peer reviewed; Journal article, 2016)When a series of Bernoulli trials occur within a fixed time frame or limited space, it is often interesting to assess if the successful outcomes have occurred completely at random, or if they tend to group together. One ... -
FTIR-based hierarchical modeling for prediction of average molecular weights of protein hydrolysates
Kristoffersen, Kenneth Aase; Liland, Kristian Hovde; Böcker, Ulrike; Wubshet, Sileshi Gizachhew; Lindberg, Diana; Horn, Svein Jarle; Afseth, Nils Kristian (Journal article; Peer reviewed, 2019)In the presented study, Fourier-transform infrared (FTIR) spectroscopy is used to predict the average molecular weight of protein hydrolysates produced from protein-rich by-products from food industry using commercial ... -
Fully convolutional neural network for semantic segmentation on CT scans of pigs
Pollestad, Jarand Hornseth (Master thesis, 2019)Identifying the shape and location of structures within medical images is useful for purposes such as diagnosis and research. This is a cumbersome task if done manually. Recent advances in computer vision and in particular ... -
Gene expression response in peripheral blood cells of petroleum workers exposed to sub-ppm benzene levels
Jørgensen, Katarina Mariann; Mosleth, Ellen Færgestad; Liland, Kristian Hovde; Hopf, Nancy Brenna; Holdhus, Rita; Stavrum, Anne-Kristin; Gjertsen, Bjørn Tore; Kirkeleit, Jorunn (Journal article; Peer reviewed, 2018)