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Visar resultat 1 - 5 av 272 uppsatser som matchar ovanstående sökkriterier.

  1. 1. A participatory approach to eliminating Musculoskeletal disorder risk factors in a paper industry workflow : Developing an assisting tool for paper industry workers by exploring work tasks through participatory design activities

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Författare :Johan Lindqvist; [2024]
    Nyckelord :Participatory design; Collaborative design; Workshop facilitation; Ergonomics; Musculoskeletal disorders; Antropometrics; Design thinking; Industrial design engineering; Work safety; Deltagande design; Participativ design; Co-design; Workshopfacilitering; Ergonomi; Belastningsergonomi; Antropometri; Design thinking; Industrial design engineering; Arbetsmiljöarbete;

    Sammanfattning : This project was implemented as a Master thesis project in Industrial design engineering (IDE). In collaboration with Billerud Karlsborg, the project was initiated to develop proposal for a technological solution for eliminating a manual handling work task in the production line for coated paper products. LÄS MER

  3. 2. Fotografering med AI i bilden : En intervjustudie med svenska fotografer om det fotografiska yrket med teknologin artificiell intelligens

    M1-uppsats, Örebro universitet/Institutionen för humaniora, utbildnings- och samhällsvetenskap

    Författare :Adam Avelin Belin; Oscar Geidemark; [2024]
    Nyckelord :Artificial intelligence; AI; photography; image generating; text-to-image; postphenomenology; technology; semi-structured interview; narrative analysis;

    Sammanfattning : At the turn of the century, photographers started a transition from analogue to digital photography: a transition which took years to complete. The photographic landscape is now in a new period of development, with new AI-programs based on machine learning. LÄS MER

  4. 3. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Sally Vizins; Hanna Råhnängen; [2024]
    Nyckelord :Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Sammanfattning : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. LÄS MER

  5. 4. Creating a High-Throughput Workflow for Automated Peptide Characterization using LC-MS

    Master-uppsats, Lunds universitet/Centrum för analys och syntes

    Författare :Sara Forsberg; [2023]
    Nyckelord :High-throughput analysis; Impurity profiling; UHPLC-HRMS; Peptide characterization; Peptide descriptors; Analytical chemistry; Technology and Engineering;

    Sammanfattning : In the early stage of a drug discovery project, there is a need for efficient methods that can analyse peptides in short time. This includes methods that confirm the peptide’s identity and estimates its relative purity in an efficient and reliable way. LÄS MER

  7. 5. Translation of pharmacometric models from NONMEM to nlmixr2 and RxODE2

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för farmaci

    Författare :Johan Borg; [2023]
    Nyckelord :pharmacy; pharmacokinetics; pharmacodynamics; nlmixr; nlmixr2; rxode; rxode2; conversion; translation; NONMEM; PK; PD; PK PD; model; modeling; modelling;

    Sammanfattning : The gold standard for pharmacometrics modeling, along with its modeling format, is currently NONMEM. In order to use other software, there is often a manual step of converting a model from one format to another, which is both time-consuming and causes manual errors. LÄS MER