Sökning: "Machine Learning Segmentation"

Visar resultat 1 - 5 av 181 uppsatser innehållade orden Machine Learning Segmentation.

  1. 1. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    Master-uppsats,

    Författare :Venkata Vamsi Challa; [2024]
    Nyckelord :Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER

  3. 2. Network Orientation and Segmentation Refinement Using Machine Learning

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Michael Nilsson; Jonatan Kentson; [2023]
    Nyckelord :deep learning; semantic segmentation; orientation learning; road networks; retina networks;

    Sammanfattning : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. LÄS MER

  4. 3. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Alex Peschel; [2023]
    Nyckelord :Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

    Sammanfattning : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. LÄS MER

  5. 4. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

  7. 5. Development of a Complete Minuscule Microscope: Embedding Data Pipeline and Machine Learning Segmentation

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Kenan Zec; [2023]
    Nyckelord :Incubation-microscope; Machine Learning Segmentation; ESP32-Cam; Deep Learning; Inkubationsmikroskop; Maskininlärnings-segmentering; ESP32-Cam; Deep Learning;

    Sammanfattning : Cell culture is a fundamental procedure in many laboratories and precedes much research performed under the microscope. Despite the significance of this procedural stage, the monitoring of cells throughout growth is impossible due to the absence of equipment and methodological approaches. LÄS MER