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Visar resultat 1 - 5 av 841 uppsatser som matchar ovanstående sökkriterier.

  1. 1. OPTIMIZATION OF CLONE SELECTION PLATFORM FOR PRODUCTION OF RECOMBINANT PROTEINS

    Master-uppsats, Uppsala universitet/Institutionen för medicinsk biokemi och mikrobiologi

    Författare :Basel Yousef; [2024]
    Nyckelord :;

    Sammanfattning : Background  Biologics are type of proteins that can be produced by expression in a foreign host for medical healthcare applications in humans. Monoclonal antibodies (mAbs) are type of biologics that are designed to specifically bind to one target, with a purpose to inhibit a certain molecule that could be associated with a disease process. LÄS MER

  3. 2. Challenges for Artificially Intelligent Medical Devices in the Nordics and Suggested Strategies to Respond

    Master-uppsats, Lunds universitet/Innovationsteknik

    Författare :Alva Rampe; Linea Holström; [2024]
    Nyckelord :Artificial Intelligence; Medical Device; HealthTech; Innovation Barriers; Technology and Engineering;

    Sammanfattning : With aging populations, unequal access to care, and shortages of staff, healthcare systems today are facing many challenges. Technology advancements, with artificial intelligence (AI) in particular, have been one of the main drivers of innovation in multiple industries. LÄS MER

  4. 3. Machine Learning for Spatial Positioning for XR Environments

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Khaled Alraas; [2024]
    Nyckelord :Extended Reality; Machine Learning; Sensor Fusion; Spatial Data Accuracy Virtual Productions; Augmented Reality; Virtual Reality; Real-time Camera Tracking; Location-Based Services; Gaming Platforms; Sensor Integration;

    Sammanfattning : This bachelor's thesis explores the integration of machine learning (ML) with sensor fusion techniques to enhance spatial data accuracy in Extended Reality (XR) environments. With XR's revolutionary impact across various sectors, accurate localization in virtual environments becomes imperative. LÄS MER

  5. 4. Automatic Semantic Segmentation of Indoor Datasets

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Swaroop Rachakonda; [2024]
    Nyckelord :Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

    Sammanfattning : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. LÄS MER

  7. 5. Relaxed Priority Queue & Evaluation of Locks

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

    Författare :Andreas Rudén; Ludvig Andersson; [2023-10-23]
    Nyckelord :Concurrency; Data Structures; Algorithms; Priority Queue; Semantic Relaxation; Lock-free; Scalability; Performance;

    Sammanfattning : We present a new, lock-free and concurrent priority queue, utilizing some ideas from [1] by Rukundo et al., that relaxes the traditional sequential semantics of the delete_min operation to achieve better scalability and performance. LÄS MER