Sökning: "man model"

Visar resultat 11 - 15 av 2897 uppsatser innehållade orden man model.

  1. 11. Study case: The water-cooling effect on floating photovoltaic plants performance

    Master-uppsats, KTH/Energiteknik

    Författare :Alice Dragon; [2024]
    Nyckelord :Solar photovoltaic; Floating photovoltaic; Performance analysis; Thermal loss; Panel Efficiency; Cooling effect; Solceller; Flytande solceller; Prestandaanalys; Termisk förlust; Panelens effektivitet; Kylande effekt;

    Sammanfattning : Floating solar technology is relatively new, and it comes with its own set of challenges and opportunities. This master thesis focuses on understanding how Floating Photovoltaic (FPV) projects perform compared to Ground-Based Photovoltaic (GPV) projects, in specific weather conditions. LÄS MER

  2. 12. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

  3. 13. The Role of Uni- and Multivariate Bias Adjustment Methods for Future Hydrological Projections and Subsequent Decision-Making

    Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :Anna Merle Liebenehm-Axmann; [2024]
    Nyckelord :Bias adjustment methods; future hydrological climate projections; statistical analysis; future streamflow analysis; biasjusteringsmetoder; framtida hydrologiska projektioner; statistisk analys; framtida vattenförings analys;

    Sammanfattning : Climate models are essential for generating future climate projections. However, due to simplifications, the models can produce systematic differences between output and reality, which is referred to as model bias. Bias adjustment methods aim to reduce this error, which is important for making future projections more reliable. LÄS MER

  4. 14. AI och hälsovård : en studie om Acceptansen för AI inom hälsovården

    Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Gustaf Ahlqvist; Nftalem Tesfai; [2024]
    Nyckelord :Acceptans; Artificiell intelligens AI ; Avatar; Chatbot; Technology Acceptance Model;

    Sammanfattning : Psykisk ohälsa har blivit alltmer vanligt förekommande och identifieras idag som ett globalt problem. Siffror för unga svenskar i åldersspannet 16-29 år som lider av psykiska problem visar oroväckande ökningar under de senaste 15 åren. LÄS MER

  5. 15. Examining the Possibilities of Live, Virtual, Constructive (LVC)

    Master-uppsats, Försvarshögskolan

    Författare :Josefine Thunström; [2024]
    Nyckelord :LVC; train like you fight; test and analysis; radar; Military Utility; LVC; train like you fight; test och analys; radar; militär nytta;

    Sammanfattning : Live, Virtual, and Constructive (LVC) is a relatively newly developed system of systems concept designed to provide a new way of conducting training for, but not exclusively, fighter pilots. “Train like you fight” is a commonly used quote when talking about LVC. LÄS MER