Sökning: "statistiska institutionen uppsala"

Visar resultat 1 - 5 av 425 uppsatser innehållade orden statistiska institutionen uppsala.

  1. 1. Klusteranalys : Tillämpning av agglomerativ hierarkisk och k-means klustring för att hitta bra kluster bland fotbollsspelare baserat på spelarstatistik.

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Sacko Balbas; Arvid Törnquist; [2024]
    Nyckelord :Cluster analysis; hierarchical clustering; k-means clustering; La Liga; football; algorithm; machine learning.;

    Sammanfattning : This work is about how the multivariate analysis tool cluster analysis can be appliedto find meaningfull groups of players based on player statistics. The aim of the work isan attempt to find good clusters among players within the Spanish top football divisionLa Liga for the 2022-2023 season. LÄS MER

  3. 2. Cluster Analysis on Football Teams Performance Data

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Clarence Thunberg Kalt; [2024]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  4. 3. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Klara Enerud; [2024]
    Nyckelord :time series forecasting; ARIMA; recurrent neural networks; LSTM; electricity forecasting; EED forecasting;

    Sammanfattning : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). LÄS MER

  5. 4. A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Max Fredriksson; Elise Ramsay Veljanovska; [2024]
    Nyckelord :ASR; Automatic Speech Recognition; Swedish Speech Recognition; Speech Recognition Models; Speech-to-Text; Whisper; VoxRex; Wav2Vec; Model Comparison; Transformer Models; Neural Networks; Machine Learning; WER; Word Error Rate; Transcription;

    Sammanfattning : With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial. Even more so for low-resource languages such as Swedish, dependent on the progress of models for the large international languages. LÄS MER

  7. 5. Predicting Lithium-Ion Battery State of Health using Linear Regression

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Niklas Sundberg; [2024]
    Nyckelord :Lithium-Ion; Multiple Linear Regression; State of Health; Voltage Deviation;

    Sammanfattning : Knowledge of battery health is very important. It provides insight into the capacity of a given system and allows the operators to plan ahead more efficiently. But measuring state of health (SoH) of a battery is difficult, and takes time. More importantly, the battery needs to be taken out of operation to be analysed correctly. LÄS MER