Blar i Brage NMBU på forfatter "Tomic, Oliver"
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Using deep learning to quality control products with challenging morphology
Kviman, Adam Julius Olof (Master thesis, 2021)Automatic detection of faulty products saves companies around the world a tremendous amount of money each year. Sending out defective products to the customers can be devastating for a company’s reputation, depending on ... -
Using machine learning and Repeated Elastic Net Technique for identification of biomarkers of early Alzheimer's disease
Olofsson, Charlott Kjærre (Master thesis, 2021)Alzheimer's disease is a neurodegenerative brain disease that damages neurons in the part of the brain involved in cognitive function, and early diagnosis is crucial for treatment that could slow down the progression of ... -
Utvikling av analyseprogram for identifikasjon av pulvermateriale basert på bildetekstur
Sogn, Linn Eirin; Smit, Anja Katarina (Master thesis, 2018)Kjernefysisk materiale som kommer på avveie skaper uro og bekymring grunnet assosiasjoner som gjerne kobles til anvendelse av slikt materiale, for eksempel knyttet til bruk i kjernefysiske våpen. Beslag av kjernefysisk ... -
Verification of probbilistiac predictions for reliability analysis in the Norwegian transmission system
Sheikh-Mohamed, Yasmin Bashir (Master thesis, 2020)As a part of the fossil fuel phase-out, Norway is investing in electrification and therefore expansion of the transmission grid. This requires efficient and accurate methods to assess long-term reliability and socioeconomic ... -
Why use component-based methods in sensory science?
Næs, Tormod; Varela, Paula; Castura, John C.; Bro, Rasmus; Tomic, Oliver (Peer reviewed; Journal article, 2023)This paper discusses the advantages of using so-called component-based methods in sensory science. For instance, principal component analysis (PCA) and partial least squares (PLS) regression are used widely in the field; ...