Sökning: "Network Visualization"

Visar resultat 6 - 10 av 161 uppsatser innehållade orden Network Visualization.

  1. 6. Comparative Analysis of the Performance of ARCore and WebXR APIs for AR Applications

    M1-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Abu Bakr Rahman Shaik; Venkata Sai Yakkshit Reddy Asodi; [2023]
    Nyckelord :ARCore; Augmented Reality; Object Visualisation; WebXR;

    Sammanfattning : Background: Augmented Reality has become a popular technology in recent years. Two of the most prominent AR APIs are ARCore, developed by Google, and We- bXR, an open standard for AR and Virtual Reality (VR) experiences on the web. LÄS MER

  3. 7. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Chayan Shrang Raj; [2023]
    Nyckelord :Telecommunications; Statistics; Machine Learning; Masters; PySpark; Python; Data Visualization; LTE; eNodeB; Data analysis; Data Science; AI; Jupyter; HDFS;

    Sammanfattning : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. LÄS MER

  4. 8. Product Solutions for Occupational Health and Safety Risks – A Digital Tool

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Julia Gårdestam; Sarah Nordh; [2023]
    Nyckelord :Work Environment; Risk Assessment; Product Proposal; Manual Handling; Digital Tool.; Arbetsmiljö; Riskbedömning; Produktförslag; Manuell hantering; Digitalt verktyg.;

    Sammanfattning : Today, there are clearly defined directives and laws that regulate the work environment in Sweden, but despite this, there are still deficiencies in the work environment for companies. Physical work has a particularly high risk of developing occupational injuries, with heavy lifting being one of the contributing factors. LÄS MER

  5. 9. Deep Learning for the prediction of RASER-MRI profiles

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik

    Författare :Filip Arvidsson; Jonas Bertilson; [2023]
    Nyckelord :MRI; NMR; AI; Deep Learning; RASER-MRI; Media Technology; KIT; LIU; CNN; Autoencoder; Djupinlärning; Medieteknik; Magnetröntgen;

    Sammanfattning : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. LÄS MER

  7. 10. Implementation and Visualization of Importance sampling in Deep learning

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Alex Knutsson; Jakob Unnebäck; [2023]
    Nyckelord :importance sampling; deep learning; gradient norm; AI; digital pathology; neural networks;

    Sammanfattning : Artificial neural networks are networks made up of thousands and sometimes millions or more nodes also referred to as neurons. Due to the sheer scale of a network, the task of training the network can become very compute-intensive. LÄS MER