Essays about: "multivariat"
Showing result 16 - 20 of 63 essays containing the word multivariat.
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16. Multivariate Time Series Forecasting in MAX IV Electron Accelerator using Predictive Maintenance
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : There are different approaches to take when it comes to maintenance of certaine quipment in environments such as production factories, manufacturing facilities and research laboratories. No type of equipment that falls in any of these categories are perfect and lack the requirement of preservation in some form. READ MORE
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17. Identification and quantification ofmicrobiological risks in board production : A study of ATP bioluminescence and redox potential
University essay from Karlstads universitet/Avdelningen för kemiteknikAbstract : Stora Enso is a well-established provider of renewable solution packaging and board materials.Board products for liquid packaging and folding cartons for food are particularly sensitive tothe microbiological contaminants. In the manufacturing process, microbiological growth occursdue to environmental favourable conditions. READ MORE
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18. 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
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19. Neural Ordinary Differential Equations for Anomaly Detection
University essay from KTH/Matematisk statistikAbstract : Today, a large amount of time series data is being produced from a variety of different devices such as smart speakers, cell phones and vehicles. This data can be used to make inferences and predictions. Neural network based methods are among one of the most popular ways to model time series data. READ MORE
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20. Real-time Classification of Multi-sensor Signals with Subtle Disturbances Using Machine Learning : A threaded fastening assembly case study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sensor fault detection is an actively researched area and there are a plethora of studies on sensor fault detection in various applications such as nuclear power plants, wireless sensor networks, weather stations and nuclear fusion. However, there does not seem to be any study focusing on detecting sensor faults in the threaded fastening assembly application. READ MORE