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Visar resultat 1 - 5 av 344 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Design of a case erecting and product placement station

    Master-uppsats, Lunds universitet/Innovation

    Författare :Niklas Wiest; [2024]
    Nyckelord :Keywords: case erecting; cobots; automation; end-effector; spiral product development process; quick-build product; Technology and Engineering;

    Sammanfattning : This report presents an innovative approach to industrial automation, focusing on the development of an automated system for erecting and filling cardboard boxes with wax jars. The project, executed in collaboration with Odigo Consulting and Scandinavian Hair Company (SHC), aimed to showcase enhanced production efficiency for small and medium-sized enterprises through the implementation of collaborative robots and pneumatic systems. LÄS MER

  3. 2. Increasing Proactive Healthcare: An Automated Approach Within Screening Process For Breast Cancer

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Theresia Lundkvist; [2024]
    Nyckelord :Healthcare Processes; Automation; Design Thinking;

    Sammanfattning : Breast cancer is the most common cancer and 8 700 individuals in Sweden were diagnosed with breast cancer in 2021. Thanks to improved diagnostic methods and more effective treatment, nine out of ten women who develop breast cancer survive. LÄS MER

  4. 3. 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

  5. 4. Undersökning av metoder för automatiserad kontinuerlig datautvinning av IoT-data för att utvinna funktioner

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Erik Järte; [2024]
    Nyckelord :IoT; user data; machine learning; visualization; data analysis; IoT; användardata; maskininlärning; visualisering; dataanalys;

    Sammanfattning : Företaget Cake har idag inte en komplett bild över hur dess fordon används. Därför samlar företaget idag upp användardata i en förhoppning om att kunna analysera denna data för att få insikter över hur dess produkter används och vad de ska satsa på i framtiden. LÄS MER

  7. 5. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    Master-uppsats,

    Författare :Venkata Vamsi Challa; [2024]
    Nyckelord :Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER