Sökning: "Graph clustering"

Visar resultat 1 - 5 av 46 uppsatser innehållade orden Graph clustering.

  1. 1. Development and testing of in-house automatized spatial omics data analysis tool : NIPMAP (Niche-Phenotype Mapping)

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Raziyeh Mohseni; [2023]
    Nyckelord :;

    Sammanfattning : The functional and anatomical characteristics of cancer cells vary among patients. Additionally, therapeutic approaches display varying responses in different individuals and cancer types due to the anatomical and functional complexity of tumor. LÄS MER

  3. 2. SubKluster: Novel method to bin scaffolds from cereal genomes into subgenomes using substring frequency analysis

    Master-uppsats, Lunds universitet/Examensarbeten i bioinformatik

    Författare :Victor Kalbskopf; [2023]
    Nyckelord :Biology and Life Sciences;

    Sammanfattning : The genome of the Belinda variety of the hexaploid oat (Avena sativa) has recently been sequenced and assembled. This project aims to improve the assembly by clustering the thousands of scaffolds into their three ancestral subgenomes using Principle Component Analysis (PCA) of kmer and repeat-element frequencies. LÄS MER

  4. 3. Visualizing Animal Activity using Intelligent Tags

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :William Hepp; Adam Gardell; [2023]
    Nyckelord :;

    Sammanfattning : Supervising animals is a significant task in many contexts, for example the keep-ing of cattle and protection of endangered species in sanctuaries, like the blackrhino. Digital solutions exist but can be improved further to ease the workflowof the supervision. LÄS MER

  5. 4. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.

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

    Författare :Luigi Assom; [2023]
    Nyckelord :animal decision making; unsupervised machine learning; UMAP; autoencoders; classifiers; bioacoustics; combinatory syntax; animal communication;

    Sammanfattning : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. LÄS MER

  7. 5. Comparing the effect of random and contextual removal of images on object detection performance

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Patrik Pettersson; José Gabriel Gomez Palomäki; [2023]
    Nyckelord :Object detection; context; spatial context; outlier removal; MSCOCO;

    Sammanfattning : As datasets grow, the need for automated methods to ensure dataset quality arises. This report presents an experiment conducted on the MSCOCO train2017 dataset to identify image outliers using a force-directed graph built from a co-occurrence context, focusing on the mean average precision and average precision. LÄS MER