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Visar resultat 1 - 5 av 13144 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Analyzing the Effects of Virtualization on Cloud Platform Performance

    Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Författare :Gaylord Kaya; [2024]
    Nyckelord :hypervisor; container; virtualization; cloud computing; hypervisor; container; virtualization; cloud computing;

    Sammanfattning : Denna avhandling utforskar den komplexa interaktionen mellan virtualiseringstekniker och prestanda för molnapplikationer. Genom att utvärdera hypervisor- och containerbaserade metoder skapar vi en teoretisk grund för att förstå rollen för virtualisering i modern molnbaserad miljö. LÄS MER

  3. 2. Closing loops, opening minds. The role of social capital for knowledge sharing relationships in circular value networks.

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för företagande och ledning

    Författare :Jacopo Angeloni; Isak Axelson; [2024]
    Nyckelord :Social capital; Knowledge sharing; Circular economy; Value networks; Glass recycling;

    Sammanfattning : In the wake of the threats of climate change and natural resource depletion, an increasing number of companies are aligning their strategies and operations with the concept of the circular economy. The circular economy transition can be enabled by companies adopting novel circular business models, embracing collaboration and knowledge sharing between partners in broad circular value networks. LÄS MER

  4. 3. A space-time shape for easier spatiotemporal visualization in traffic networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :David Smeds; [2024]
    Nyckelord :;

    Sammanfattning : Modern big data systems are enabling new possibilities that never were thought possible in the past. The ability to gather massive data on an individual level has made fields like space-time geography bloom in the latest decennia. The usage of shapes in a 3D space allows us to visualize certain phenomena over time. LÄS MER

  5. 4. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Habib Jabeli; [2024]
    Nyckelord :Machine Learning; Flight Comparison; Flygresor.se; Neural Networks; Flight Ranking; Random Forest; XGBoost;

    Sammanfattning : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. LÄS MER

  7. 5. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Lisa Linard Pedersen; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. LÄS MER