Sökning: "Automatic Model Selection"
Visar resultat 1 - 5 av 42 uppsatser innehållade orden Automatic Model Selection.
1. Ubox : Automatic sunscreendispenser
Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetSammanfattning : With the purpose of reducing the growing disease of skin cancer, the idea of an automated sunscreen dispenser called Ubox arose. The sun's UV radiation damages human cells, which can thus begin to divide uncontrollably and give rise to skin cancer. LÄS MER
2. Utilizing Genetic Algorithm and Machine Learning to Optimize a Control System in Generators : Using a PID controller to damp terminal voltage oscillations
Master-uppsats, Mälardalens universitet/Akademin för ekonomi, samhälle och teknikSammanfattning : Hydropower is an important part of renewable power production in Sweden. The voltage stability of the already existing hydropower needs to be improved. One way to do this is by improving the control system that damp terminal voltage oscillations. LÄS MER
3. Automatic Development of Pharmacokinetic Structural Models
Master-uppsats, Uppsala universitet/Institutionen för farmaciSammanfattning : Introduction: The current development strategy of population pharmacokinetic models is a complex and iterative process that is manually performed by modellers. Such a strategy is time-demanding, subjective, and dependent on the modellers’ experience. LÄS MER
4. Utveckling av en resningsmaskin för tubformade förpackningar : Utveckling av resningsmaskin för SCA, Arcwise
Kandidat-uppsats, Mittuniversitetet/Institutionen för naturvetenskapSammanfattning : I detta kandidatexamensarbete har syftet varit att undersöka metoder för att forma ett wellpappark, skapat av Arcwise (SCA), till en cylindrisk-, tubformad kartong. Arbete mynnade ut till ett koncept för en resningsmaskin som monterar ihop Arcwisetuben. LÄS MER
5. Variable selection for generalized linear mixed model by L1 penalization for predicting clinical parameters of ovarian cancer
Kandidat-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The quantity of biomarkers, which are proteins in this case, in ovarian cancer (OC) tumor and immune tissue regions of interest (ROIs) were measured with the new technology Digital Spatial Profiler (DSP). These measurements were used to construct regression models on the biomarkers to predict for two clinical parameters; tumor type (”Type 1” vs ”Type 2”) and the immune infiltration type (”Cavities” vs ”Dispersed”). LÄS MER