Sökning: "Dataset Variation"

Visar resultat 1 - 5 av 121 uppsatser innehållade orden Dataset Variation.

  1. 1. Estimating Variant Intolerance for Genes of Cattle

    Master-uppsats, SLU/Dept. of Animal Breeding and Genetics

    Författare :Simon Lanigan; [2024]
    Nyckelord :Genes; Cattle;

    Sammanfattning : Cattle play a crucial role in providing nutrition and economic stability worldwide. Threats to their health, particularly infectious diseases, and genetic mutations, can have profound implications for both animal and human livelihoods. LÄS MER

  3. 2. 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. 3. Evaluating ChatGPT’s Ability to Compose Music Using the MIDI File Format

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Marcus Warnerfjord; [2023]
    Nyckelord :;

    Sammanfattning : This thesis examines the capabilities of the artificial intelligence model (AI), ChatGPT 3.5-turbo, to compose valuable music in a digital format (MIDI) from natural language prompts. Implementing a multifaceted quantitative approach, the study combines objective musical metrics with subjective user evaluations. LÄS MER

  5. 4. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Love Marcus; [2023]
    Nyckelord :User churn; Customer attrition; Artificial neural networks; Log-level analysis; Random forests; Decision trees; Användarbortfall; Kundbortfall; Artificiella neurala nätverk; logganalys; Slumpskogar; Beslutsträd;

    Sammanfattning : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. LÄS MER

  7. 5. Development and testing of in-house automatized spatial omics data analysis tool : NIPMAP (Niche-Phenotype Mapping)

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Raziyeh Mohseni; [2023]
    Nyckelord :;

    Sammanfattning : The functional and anatomical characteristics of cancer cells vary among patients. Additionally, therapeutic approaches display varying responses in different individuals and cancer types due to the anatomical and functional complexity of tumor. LÄS MER