Sökning: "computer online"
Visar resultat 1 - 5 av 386 uppsatser innehållade orden computer online.
1. Multi-Parameter Modelling of Surface Electromyography Data
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. LÄS MER
2. MONEY ON (THE) LINE : A Quantitative Study on the Effects of Different Types of Digital Government Services on Petty Corruption
Master-uppsats, Uppsala universitet/Statsvetenskapliga institutionenSammanfattning : Previous research indicates that improving digital government services may contribute to the reduction of corruption. This study seeks to deepen the knowledge of this suggested causal link in several ways. Firstly, it adds nuance by examining the effects of two distinct sub-types of digital government services on specifically petty corruption. LÄS MER
3. The State of Live Facial Puppetry in Online Entertainment
Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : Avatars are used more and more in online communication, in both games and socialmedia. At the same time technology for facial puppetry, where expressions of the user aretransferred to the avatar, has developed rapidly. LÄS MER
4. Topics and Attitudes in COVID-19 Online News Comments about Italy and Sweden. Appraisal Framework applied to Corpus-Assisted Discourse Analysis
Master-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : This study conducts a mixed-methods, comparative study of online news comments. The subject of the articles were the two countries of Sweden and Italy during the COVID-19 pandemic. LÄS MER
5. An Empirical Survey of Bandits in an Industrial Recommender System Setting
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. LÄS MER