Sökning: "Common Memory"

Visar resultat 1 - 5 av 357 uppsatser innehållade orden Common Memory.

  1. 1. Develop A Predictive Model & Analyze The Impact On Common Memory Usage In A 5G Radio Unit

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Vijit Sai Tagirisa; [2024]
    Nyckelord :Common Memory; EMCA; Machine Learning; 5G; SHAP;

    Sammanfattning : .... LÄS MER

  3. 2. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :David Ek; [2023-01-09]
    Nyckelord :;

    Sammanfattning : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. LÄS MER

  4. 3. Can artificial intelligence replace humans in programming?

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Hampus Ekedahl; Vilma Helander; [2023]
    Nyckelord :AI; ChatGPT; NLP;

    Sammanfattning : The recent developments in artificial intelligence have brought forth natural language models like ChatGPT, which exhibits abilities in tasks such as language translation, text generation, and interacting conversations. Notably, ChatGPT's ability to generate code has sparked debates regarding the role of artificial intelligence in software engineering and its potential to replace human programmers. LÄS MER

  5. 4. Difference Between Memory-based Storage and Register-based Storage on FPGAs

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Yiqian Cui; [2023]
    Nyckelord :;

    Sammanfattning : Memory-based storage and register-based storage are commonly used storagetypes in fpgas. This thesis aims to build up the architecture of memory-basedstorage and register-based storage, implement the corresponding methods, compare the difference between them and determine which kind of storage workswell under different circumstances. 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