Essays about: "Model Based Testing"

Showing result 1 - 5 of 797 essays containing the words Model Based Testing.

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

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Alexander Florean; [2024]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Institutionen för psykologi

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

    Abstract : 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. READ MORE

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

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Martin Åsell; [2024]
    Keywords : Inflow and Infiltration; I I; CNN; Linear regression;

    Abstract : 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. READ MORE

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

    University essay from Umeå universitet/Institutionen för datavetenskap

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

    Abstract : 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. READ MORE

  5. 5. An Empirical Survey of Bandits in an Industrial Recommender System Setting

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Tobias Schwarz; Johan Brandby; [2023-09-21]
    Keywords : computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

    Abstract : 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. READ MORE