Sökning: "Model Based Testing"

Visar resultat 1 - 5 av 933 uppsatser innehållade orden Model Based Testing.

  1. 1. Triaxialförsök och utvärdering av parametrar för modellering : Anrikningssand med sprött beteende

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Geoteknologi

    Författare :Lukas Haga; [2024]
    Nyckelord :Geoteknik; Triaxialförsök; Anrikningssand; Gruvdamm; Statisk liquefaction; NorSand; Utvärdering; Parametrar;

    Sammanfattning : Efter det dammbrott som skedde vid Brumadinho i Brasilien under januari 2019, där hundratals människor miste sina liv, har frågor kring statisk liquefaction hos anrikningssand fått stort fokus inom gruvdammsindustrin.  Statisk liquefaction kan modelleras med den konstitutiva modellen NorSand, där NorSand-parametrarna kan utvärderas från triaxialförsök. LÄS MER

  2. 2. 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. 3. Initial Development and Validation of Language-Based Assessments for Meaningful Change

    Kandidat-uppsats, Lunds universitet/Institutionen för psykologi

    Författare :Ulrika Söderström; [2024]
    Nyckelord :meaningful change; depression; Large Language Models; AI; Social Sciences;

    Sammanfattning : Meaningful change has been discussed in multiple studies, with the recurring question of how it could be conceptualized and assessed to identify what determines meaningful change and where it occurs. Previous studies have conducted statistical analyses based on traditional rating scales (i.e., the PHQ-9) to assess meaningful change. LÄS MER

  4. 4. Predicting inflow and infiltration to wastewater networks based on temperature measurements

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Martin Åsell; [2024]
    Nyckelord :Inflow and Infiltration; I I; CNN; Linear regression;

    Sammanfattning : Sewer pipelines are deteriorating due to aging and sub optimal material selections, leading to the infiltration of clean ground and rainfall water into the pipes. It is estimated that a significant portion (up to 40-50%) of the water entering wastewater treatment plants is actually clean infiltrated water. LÄS MER

  5. 5. Human-Multi-Drone Interaction in Search and Rescue Systems under High Cognitive Workload

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Johanna Ahlskog; [2024]
    Nyckelord :Unmanned aerial vehicle; human-drone interaction; cognitive workload; trust; search and rescue; drone swarm; situational awareness; multi-drone systems;

    Sammanfattning : Unmanned Aerial Vehicles (UAV), often referred to as drones, have seen increased use in search and rescue (SAR) missions. Traditionally, these missions involve manual control of each drone for aerial surveillance. LÄS MER