Sökning: "test data generation"

Visar resultat 1 - 5 av 305 uppsatser innehållade orden test data generation.

  1. 1. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement

    Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Författare :Kimon Letzner; [2024]
    Nyckelord :Disaster risk reduction; Participatory action research; Community risk mapping; International Red Cross Red Crescent Movement; Colombia; Technology and Engineering;

    Sammanfattning : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. LÄS MER

  3. 2. An In-Depth study on the Utilization of Large Language Models for Test Case Generation

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Nicole Johnsson; [2024]
    Nyckelord :Large Language Models; Test Case Generation; Retrieval Augmented Generation; Machine Learning; Generative AI;

    Sammanfattning : This study investigates the utilization of Large Language Models for Test Case Generation. The study uses the Large Language model and Embedding model provided by Llama, specifically Llama2 of size 7B, to generate test cases given a defined input. LÄS MER

  4. 3. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :William Pettersson; [2024]
    Nyckelord :Transformer; Decoder; Decoder-only; AI; Artificial intelligence; Generating; generative model; Chess;

    Sammanfattning : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. LÄS MER

  5. 4. AI-based image generation: The impact of fine-tuning on fake image detection

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Nick Hagström; Anders Rydberg; [2024]
    Nyckelord :Fake image detection; LoRA; DreamBooth; Stable Diffusion; Image generation;

    Sammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER

  7. 5. On Systematically Exploring the State Space for Events with SFCs

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Younis Akel; Gianmarco Iachella; [2023-08-07]
    Nyckelord :Autonomous driving systems; scenario-based testing; space-filling curve SFC ; characteristic stripe patterns CSP ; permutations; state-space; areas of interest AOI ;

    Sammanfattning : In the process of developing autonomous driving systems (AD systems), ensuring safety remains a constant and continuous priority. Scenario-based testing is a popular approach to guarantee the safety of AD systems, which however meets challenges in terms of diversity and efficiency of generation, as well as evaluating existing test case datasets in terms of their coverage of the different variations of a particular maneuver. LÄS MER