Essays about: "SIMCA"
Showing result 1 - 5 of 12 essays containing the word SIMCA.
-
1. Comparison of preconditions for tooth sample collection and compositional change over time
University essay from Umeå universitet/Institutionen för odontologiAbstract : Background The mouth can be colonized by many bacterial species that are associated with both health and disease. Bacteria analyses are an important part of diagnosing and treating dental diseases, but there is no consensus regarding which sampling method to use for these analyses. READ MORE
-
2. Developing complementary supercritical fluid chromatographic methods for a high throughput purification process
University essay from Karlstads universitetAbstract : Supercritical fluid chromatography (SFC) is an expanding chromatographic technique that is part of the evolving field of green chemistry due to its short run times and use of non-toxic solvents in combination with recycled CO2. The use of a suitable column is essential for separation science in general and there is a wide variety of SFC compatible columns available on the market. READ MORE
-
3. A comparison of different machine learning algorithms applied to hyperspectral data analysis
University essay from Umeå universitet/Institutionen för fysikAbstract : Hyperspectral image analysis works with image data where each pixel contains hundreds of wavelengths acquired from spectral measurements. It is a growing field of research in the sciences and industries because it can distinguish visually similar objects. READ MORE
-
4. Improved prediction of biogas production at Uddebo wastewater treatment plant : Substrate modelling in SIMCA
University essay from Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurserAbstract : Anaerobic digestion is a complex process, dependent on multiple factors, which can be made more stable and efficient with the help of process models. A more stable process could reduce biogas torching, which increases the amount of renewable energy available for heat- and electricity production and vehicle fuel. READ MORE
-
5. Using machine learning and multivariate predictive modelling to shorten dissolution time for solid dosage with the fully automated dissolution robot SingBATH
University essay from KTH/Fiber- och polymerteknologiAbstract : Syftet med detta examensarbete är att förkorta 20-timmars frisättningen för en tablettformulering med förlängd frisättning genom att använda maskininlärning genom multivariat prediktiv modellering, helt automatisera frisättningsmetoden och utvärdera antalet tabletter som kan representera en batch vid frisättningsanalys av en specifik provtablett. Prediktionsmodellerna byggdes i SIMCA 14, som är en programvara för multivariat dataanalys. READ MORE