Sökning: "end-to-end"

Visar resultat 1 - 5 av 330 uppsatser innehållade ordet end-to-end.

  1. 1. Implementing End-to-End MLOps for Enhanced Steel Production

    M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Marcus Westin; Jacob Berggren; [2024]
    Nyckelord :MLOps; Azure ML; Machine Learning; Computer Science; Microsoft Azure; MLOps; Azure ML; Maskininlärning; Datavetenskap; Microsoft Azure;

    Sammanfattning : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). LÄS MER

  3. 2. Automatic Semantic Role Labelling (SRL) in Swedish

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

    Författare :Lucy Yang Buhr; [2023-10-05]
    Nyckelord :Semantic role labelling; SRL; transfer learning; multi-task learning; multilingual transfer; T5; mT5;

    Sammanfattning : In this paper, using deep learning networks, the first end-to-end semantic role labelling model (SRL) has been developed for Swedish texts. This Swedish SRL model can, with a given Swedish sentence, perform trigger identification, frame classification and argument extraction tasks automatically in a series. LÄS MER

  4. 3. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

    Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

    Författare :Erik Everett Palm; [2023]
    Nyckelord :bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

    Sammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. 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. Introducing software testing in an SME : An investigation of software testing in a web application

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

    Författare :Per Arn; [2023]
    Nyckelord :software testing; web applications; front end development; component testing; end-to-end testing; testing frameworks; Mjukvarutestning; webbapplikationer; frontendutveckling; komponenttestning; användartestning; testramverk;

    Sammanfattning : Quality assurance and software testing of software artifacts is as important as ever and this is especially so the case in web applications. The web applications of today are more complex and are used in more critical systems at a larger scale than ever before. However, testing of these applications is very challenging due to their dynamic nature. LÄS MER