Sökning: "strukturella modeller"

Visar resultat 1 - 5 av 67 uppsatser innehållade orden strukturella modeller.

  1. 1. 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

  3. 2. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms

    Master-uppsats, KTH/Kemi

    Författare :Julia Rune; [2023]
    Nyckelord :Cell Segmentation; Cellpose; Supervised Machine Learning; MERFISH; Heart Failure; Cellsegmentering; Cellpose; Övervakad Maskininlärning; MERFISH; Hjärtsvikt;

    Sammanfattning : Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridization (MERFISH). LÄS MER

  4. 3. Identification of restoration hotspots in landscape-scale green infrastructure planning based on model-predicted connectivity forest

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

    Författare :Xiaoming Wang; [2023]
    Nyckelord :boreal forest; conservation; restoration; connectivity; green infrastructure; GIS; Sweden; Earth and Environmental Sciences;

    Sammanfattning : Boreal forest landscapes have undergone severe anthropogenic fragmentation and their enormous values concerning, e.g., ecosystem service, biodiversity and culture are hazarded. LÄS MER

  5. 4. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection

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

    Författare :Maira Khan; [2023]
    Nyckelord :CT scan; electrode peaks; jelly roll; keypoints; structural deformation; traditional computer vision; deep neural network; CT-skanning; elektrodtoppar; gelérulle; nyckelpunkter; strukturell deformation; Traditionellt datorseende; djupt neuralt nätverk;

    Sammanfattning : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. LÄS MER

  7. 5. The Influence of Roughness on Electrical Properties of Single Rock Fractures

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Yu Hou; [2023]
    Nyckelord :Single fracture; Roughness; Current; Electrical properties; Relative standard deviation; Numerical simulations; Enkelfraktur; Grovhet; Ström; Elektriska egenskaper; Relativ standardavvikelse; Numeriska simuleringar;

    Sammanfattning : To investigate the relationship between the structural characteristics of rough single fracturesand the electrical properties of the rock. In this study, a series of physical models of roughand smooth single fractures were established using the finite element method and Ohm's lawto test the electrical conductivity. LÄS MER