Sökning: "evaluation methods"

Visar resultat 11 - 15 av 3724 uppsatser innehållade orden evaluation methods.

  1. 11. Replacing Objects in Point Cloud stream with Real-time Meshes using Semantic Segmentation

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Abhinav Chitta; [2024]
    Nyckelord :;

    Sammanfattning : Background: The evolving landscape of 3D data processing, particularly pointcloud manipulation, is pivotal in numerous applications ranging from architecturaldesign to spatial analysis. Traditional methods, primarily mesh generation from point clouds, face challenges in adapting to complex real-world scenarios. LÄS MER

  3. 12. Effective soil organic carbon monitoring in perennial agriculture systems - Sampling protocol development and evaluation

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

    Författare :Maja Holm; [2024]
    Nyckelord :Physical geography; ecosystem science; soil organic carbon; soil sampling; perennial crops; carbon sequestration; carbon farming; Kernza™; soil organic carbon stock; Earth and Environmental Sciences;

    Sammanfattning : Perennial agriculture systems are gaining ground as a more sustainable alternative to conventional annual agriculture, partly for their potential to increase the soil organic carbon (SOC) content. Carbon farming is another hot topic for SOC sequestration, as it creates economic incentives for farmers. LÄS MER

  4. 13. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

  5. 14. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  7. 15. Utformning och utvärdering av laborationsmoment för stimulering av datalogiskt tänkande bland gymnasieelever

    Uppsats för yrkesexamina på avancerad nivå, KTH/Lärande

    Författare :Yasmina Altayy; Haidi Antoun; [2024]
    Nyckelord :;

    Sammanfattning : Denna studie, som är ett samarbete med K-ULF, syftar till att utforma ett laborationsmoment för gymnasieelever som går kursen Programmering 1 (eller motsvarande kurser), med fokus på att stimulera datalogiskt tänkande. En litteraturöversikt genomfördes för att identifiera ett relevant ramverk för att utforma laborationsmomentet inom programmering. LÄS MER