Sökning: "Erik Small"
Visar resultat 1 - 5 av 350 uppsatser innehållade orden Erik Small.
1. Predicting Counter-Strike Matches using Machine Learning Models
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. LÄS MER
2. ESG and Fund Performance Comparing Funds with Different Strategic Benchmarks
Kandidat-uppsats,Sammanfattning : This thesis aims to identify if there is a positive relationship between ESG and fund performance, and if this relationship is different depending on the strategic benchmark of the funds and how they differ between the given strategic benchmark. Four groups of funds connected to a specific strategic benchmark are divided based on their ESG score into a high ESG score group and low ESG score group. LÄS MER
3. CFD-modeling of labyrinth weir flood discharge with ice cover
Master-uppsats, KTH/BetongbyggnadSammanfattning : A labyrinth weir is a hydraulic structure built with a purpose to increase the discharge capacity compared to linear weirs, while maintaining the same water level upstream. Construction of labyrinth weirs is vital in a future with more unpredictable flows. LÄS MER
4. EMC-Optimized Transparency: Reducing Electromagnetic Emissions in Surveillance Camera Domes
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Electromagnetic compatibility (EMC) is a crucial aspect to product development. Companies need to make sure their products live up to the standards that exists around the world. One way of reducing electromagnetic emissions is to shield the product, using some conducting material, for instance, copper. LÄS MER
5. Skattning av HGV och stamvolym med data från stereomatchade drönarbilder genom befintliga modeller från Skogliga grunddata
Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of Forest Resource ManagementSammanfattning : Inom den svenska skogsbruksplanläggningen sker idag datainsamlingen traditionellt med subjektivt fördelade relaskopsytor. Den subjektiva mätningen varierar mellan och inom planläggare och har generellt ett relativt medelfel (rRMSE) på 9 % för grundytevägd medelhöjd (HGV) och 15–20 % for volym/ha. LÄS MER