Sökning: "data pre-processing"

Visar resultat 1 - 5 av 189 uppsatser innehållade orden data pre-processing.

  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. Exploring the Applications of Machine Learning in the Public Sector

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Adrian Hammarberg Dalmyr; [2023]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : Despite the many use cases for machine learning, it sees minimal usage in Sweden’s public sector today. It is important that the public sector in particular utilizes the most efficient tools available. LÄS MER

  4. 3. On the use of routing engines for dynamic travel time calculation within emergency vehicle transport simulation

    Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Marcus Juninger; Nicholas Narvell; [2023]
    Nyckelord :Emergency Vehicle Simulation; Routing Engines; Travel Time Calculation; Dynamic Data Generation;

    Sammanfattning : Traditional methods for constructing simulation models can involve severalsteps that require manual pre-processing of large data sets. This process maybe time-consuming and prone to human errors, while also leading to modelsthat are inconvenient to customize for varying simulation scenarios. LÄS MER

  5. 4. Evaluating Process Mining Techniques on PACS Command Usage Data : Exploring common process mining techniques and evaluating their applicability on PACS event log data for domain-specific workflow analysis

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Axel Ekblom; Jacob Karlén; [2023]
    Nyckelord :process mining; workflow mining; data mining; radiology; PACS;

    Sammanfattning : Many software companies today collect command usage data by monitoring and logging user interactions within their applications. This is not always utilised to its full potential, but with the use of state-of-the-art process mining techniques, this command usage log data can be used to gain insights about the users' workflows. LÄS MER

  7. 5. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Christoforos Spyretos; [2023]
    Nyckelord :medical imaging; deep learning; classification; CNN; Vision Transformer; glioblastoma; GBM; IvyGAP; brain tumour; histopathology; digital pathology; histology;

    Sammanfattning : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. LÄS MER