Sökning: "computer engineering research"

Visar resultat 1 - 5 av 248 uppsatser innehållade orden computer engineering research.

  1. 1. Multi-Parameter Modelling of Surface Electromyography Data

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Ahmad Alosta; Josef Djärf; [2024]
    Nyckelord :Surface electromyography; modelling; Python; sEMG; decomposition; neuroengineering; motor unit; muscle; simulation; Technology and Engineering;

    Sammanfattning : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. LÄS MER

  3. 2. Data Augmentation for Object Detection using Deep Reinforcement Learning

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Axel Andersson; Nils Hallerfelt; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. LÄS MER

  4. 3. To Deploy, or Not to Deploy, That is the Question A qualitative study of the decision-making experiences of engineers deploying software changes in production

    Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Författare :Jessica Ann DeVita; [2024]
    Nyckelord :Automation; Common ground; Complexity; Coordination; COVID19 pandemic; Deployment decision; Incident response; Mental model; Naturalistic decision-making; Phenomenology; Resilience; Risk; Software engineering; SRE; Strategy; Temporal reasoning; Uncertainty; Web operations; FLMU06; Technology and Engineering;

    Sammanfattning : The web services that millions of people count on require large-scale computer resources (servers, nodes, networking) and an intricate set of interdependent software services. Under pressure to continually improve these services, code and configuration changes are deployed hundreds or thousands of times every day. LÄS MER

  5. 4. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Roos Eline Bottema; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The rapid evolution of machine learning techniques has revolutionized computer vision, particularly with the introduction of Neural Radiance Fields (NeRF) and the optimization of 3D Gaussians for rendering novel scene views. These methods, such as NeRF and Gaussian Splatting, have demonstrated success in synthetic data scenarios with consistent lighting and well-captured scenes. LÄS MER

  7. 5. Challenges in Specifying Safety-Critical Systems with AI-Components

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

    Författare :Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
    Nyckelord :Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

    Sammanfattning : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. LÄS MER