Sökning: "segmentering metoder"

Visar resultat 1 - 5 av 73 uppsatser innehållade orden segmentering metoder.

  1. 1. Segmentering utan personidentifierande attrbut : En undersökning av metoder och principer för dataanalys och segmentering i medelstora outdoor företag

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Philip Sundin; Jonathan Jeding; [2024]
    Nyckelord :Data Mining; Dataanalys; Segmentering;

    Sammanfattning : Framväxten av Internet och e-handel har medfört en ständig ström av kunder med olika behov och produktpreferenser till företag. För att kunna möta de varierande kundkraven förlitar sig företag ofta på detaljerad kunddata, vilket hjälper till att generera värdefulla insikter med hjälp av verktyg för dataanalys. LÄS MER

  3. 2. Enhancement of a Power Line Information System by Combining BIM and LiDAR Data

    Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Författare :Daniel Wollberg; [2024]
    Nyckelord :GIS; BIM; FME; CloudCompare; GIS; BIM; FME; CloudCompare;

    Sammanfattning : With the great ongoing energy transition in Sweden, Svenska Kraftnät (SVK) sees a huge need for investment in the Swedish transmission network and supporting IT- systems.  SVK has a great amount of collected laser data over the electric power transmission network however this data does not contain any semantic attribution that can be analyzed on broader information systems. LÄS MER

  4. 3. Analysis of speaking time and content of the various debates of the presidential campaign : Automated AI analysis of speech time and content of presidential debates based on the audio using speaker detection and topic detection

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

    Författare :Axel Valentin Maza; [2023]
    Nyckelord :Artificial Intelligence; Speaker detection; Speaker recognition; Speaker diarization; Speaker identification; Debate; Politics; Deep Learning; Artificiell intelligens; talardetektion; talarigenkänning; talardiarisering; talaridentifiering; debatt; politik; djupinlärning;

    Sammanfattning : The field of artificial intelligence (AI) has grown rapidly in recent years and its applications are becoming more widespread in various fields, including politics. In particular, presidential debates have become a crucial aspect of election campaigns and it is important to analyze the information exchanged in these debates in an objective way to let voters choose without being influenced by biased data. LÄS MER

  5. 4. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier

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

    Författare :Ali Muquri; [2023]
    Nyckelord :;

    Sammanfattning : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. LÄS MER

  7. 5. An empirical study of the impact of data dimensionality on the performance of change point detection algorithms

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

    Författare :Léo Noharet; [2023]
    Nyckelord :Time series segmentation; Change point detection; Multivariate time series; Data dimensionality; Tidsserie-segmentering; Förändringspunkts detektering; Mulitvariabla tidsserier; Data dimentionalitet;

    Sammanfattning : When a system is monitored over time, changes can be discovered in the time series of monitored variables. Change Point Detection (CPD) aims at finding the time point where a change occurs in the monitored system. LÄS MER