Sökning: "Size series"

Visar resultat 1 - 5 av 286 uppsatser innehållade orden Size series.

  1. 1. IMAGINE THAT – DATORREKLAM SOM UTTRYCK FÖR SAMTIDA SAMHÄLLSIDEAL. En multimodal kritisk diskursanalys av 1980-talets reklambilder för persondatorer

    Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikation

    Författare :Esther Malmqvist; [2024-03-06]
    Nyckelord :Persondator; Marknadsföring; Medieteknologier; Sociotechnical Imaginaries; Multimodal kritisk diskursanalys;

    Sammanfattning : Until the 1970s, computers were primarily being used by universities, bigger companies or nationstates. With the invention of the microchip the average size of computers was reduced and they became more affordable, resulting in the creation of the microcomputer and eventually personal computers. LÄS MER

  3. 2. Tillväxt av öring (Salmo trutta) i bastuån : Täthets- och temperaturberoende?

    Kandidat-uppsats, Umeå universitet/Institutionen för ekologi, miljö och geovetenskap

    Författare :Fredrik Curman; [2024]
    Nyckelord :;

    Sammanfattning : Performance of stream living juvenile brown trout (Salmo trutta) may be affected by both intra- and intercohort competition. In this study I examined if growth and density of cohorts of young-of the-year (0+) trout are dependent on temperature and density of older (>0+) trout and 0+ trout. LÄS MER

  4. 3. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study

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

    Författare :Jonna Matthiesen; [2023-10-24]
    Nyckelord :Compression; Deep Learning; DNN; Hyperparameters; Optimization; Pruning; Hyperparameter Optimisation; Hyperparameter Tuning;

    Sammanfattning : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. LÄS MER

  5. 4. Big Data and Analytics with Driving  Data : Implementation and Analysis of Data Pipeline and Data Processing Resources

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Ivar Blohm; Erik Jarvis; [2023]
    Nyckelord :;

    Sammanfattning : This thesis project was conducted in cooperation with Zenseact for the purpose of investigating the possible usage of Google BigQuery and its capabilities to store and provide insights of large time-series data. An end-to-end data pipeline was built to facilitate the movement of data from Zenseact's local servers and ingestion into BigQuery. LÄS MER

  7. 5. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks

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

    Författare :Eddie Nevander Hellström; Johan Slettengren; [2023]
    Nyckelord :;

    Sammanfattning : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. LÄS MER