Sökning: "Real-World Scenario"

Visar resultat 1 - 5 av 148 uppsatser innehållade orden Real-World Scenario.

  1. 1. Generative adversarial network for point cloud upsampling

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Edison Widell Delgado; [2024]
    Nyckelord :Point cloud upsampling; Generative adversarial network; GAN;

    Sammanfattning : Point clouds are a widely used system for the collection and application of 3D data. But most timesthe data gathered is too scarce to reliably be used in any application. LÄS MER

  3. 2. Expert Knowledge Elicitation for Machine Learning : Insights from a Survey and Industrial Case Study

    Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)

    Författare :Samuel Svensson; Oskar Persson; [2023]
    Nyckelord :knowledge elicitation; machine learning; expert knowledge; informed machine learning; hybrid machine learning; survey; taxonomy;

    Sammanfattning : While machine learning has shown success in many fields, it can be challenging when there are limitations with insufficient training data. By incorporating knowledge into the machine learning pipeline, one can overcome such limitations. Therefore, eliciting expert knowledge can play an important role in the machine learning project pipeline. LÄS MER

  4. 3. Performance of UE Relaying for 6G Networks

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

    Författare :Celia Hermoso Díaz; [2023]
    Nyckelord :Half duplex; KPI; multi-hop; multi-path; UE relay;

    Sammanfattning : Throughout the evolution of communication networks, users have consistently been demanding additional data and coverage. Future 6G networks seek to enable a seamless cyber-physical world through interconnected and integrated connectivity. LÄS MER

  5. 4. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

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

    Författare :Chenzhou Huang; [2023]
    Nyckelord :Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Sammanfattning : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. LÄS MER

  7. 5. Implementation and evaluation of a web-based learning management system

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Mathilde Hennings; Emil Nilsson; [2023]
    Nyckelord :;

    Sammanfattning : Modern education is more and more dependent on technical solutions to assist student learning. Systems specifically designed for this purpose are called learning management systems and provide the link between students and teachers, in the sense that a significant part of their communication is handled within the system. LÄS MER