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Visar resultat 1 - 5 av 52 uppsatser som matchar ovanstående sökkriterier.

  1. 1. 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

  3. 2. Assessment and evaluation of heterogeneity in data from immune infiltration spatial niches in lung cancer

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Mahta Keivani Najafabadi; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The protein biomarker expressions in three types of sampled immune INFILTration spatial niches in lung cancer tissue were measured using the new technology Digital Spatial Profiler (DSP). The three types of immune INFILTration that were observed in lung tumors were STROMA identified as immune cells separate from tumor cells, Tertiary lymphoid structures (TLS) identified as dense structures of organized immune cells and finally Infiltraterate where immune cells dispersed among and in direct contact with tumor cells (INFILT). LÄS MER

  4. 3. Win-Wind situation? The Local Labor Market and Wind Power Investments in Sweden

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Författare :Alfred Arnborg; [2023]
    Nyckelord :Renewable energy; Labor market; Difference-in-differences; Local projections;

    Sammanfattning : This thesis examines the local economic impacts of wind power deployment in Sweden, focusing on the net labor market effects. Using a difference-in-differences model and a local projections model, the study quantifies the impact of wind power investments on unemployment at the municipal level. LÄS MER

  5. 4. Comparison of deep learning and model-based approaches for spatial profiling of the immune tumor environment on multiplex image data

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Esraa Ahmed; [2023]
    Nyckelord :;

    Sammanfattning : The demographics of the tumor microenvironment (TME) impact the Immunotherapy responses for lung cancer patients. Given the heterogeneity of immune cells present within TME, the distribution patterns of different subpopulations of T-cells can be exploited to predict short-term or long-term survival of lung cancer patients. LÄS MER

  7. 5. Multi-scale Bark Beetle Predictions Using Machine Learning

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Albert Øhrman Wellendorf; [2023]
    Nyckelord :Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

    Sammanfattning : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. LÄS MER