Sökning: "DBSCAN"

Visar resultat 6 - 10 av 65 uppsatser innehållade ordet DBSCAN.

  1. 6. Unsupervised Machine Learning Based Anomaly Detection in Stockholm Road Traffic

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

    Författare :Vilma Hellström; [2023]
    Nyckelord :Anomaly detection; DBSCAN; LSTM; Machine learning; Synthetic anomalies; Unsupervised learning; Anomalidetektering; DBSCAN; LSTM; maskininlärning; syntetiska anomalier; oövervakad inlärning;

    Sammanfattning : This thesis is a study of anomaly detection in vehicle traffic data in central Stockholm. Anomaly detection is an important tool in the analysis of traffic data for improved urban planing. Two unsupervised machine learning models are used, the DBSCAN clustering model and the LSTM deep learning neural network. LÄS MER

  3. 7. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

    Master-uppsats, KTH/Fastigheter och byggande

    Författare :Egil Morast; [2022]
    Nyckelord :Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

    Sammanfattning : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. LÄS MER

  4. 8. Finding co-workers with similar competencies through data clustering

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Oskar Skoglund; [2022]
    Nyckelord :Data analytics; data clustering; k-modes; DBSCAN; ROCK;

    Sammanfattning : In this thesis, data clustering techniques are applied to a competence database from the company Combitech. The goal of the clustering is to connect co-workers with similar competencies and competence areas in order to enable more skill sharing. LÄS MER

  5. 9. Offline Direction Clustering of Overlapping Radar Pulses from Homogeneous Emitters

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

    Författare :Sofia Bedoire; [2022]
    Nyckelord :Clustering; DBSCAN; Deinterleaving; Machine Learning; Radar; Klustring; DBSCAN; Pulssortering; Maskininlärning; Radar;

    Sammanfattning : Within the defence industry, it is essential to be aware of threats in the environment. A potential threat can be detected by identifying certain types of emitters in the surroundings that are typically used in the enemies’ systems. LÄS MER

  7. 10. Segmentation of companies using DBSCAN and K-Means

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

    Författare :Jacob Dahlkvist; William Tomczak; [2022]
    Nyckelord :;

    Sammanfattning : Data management and machine learning have become an important tool for organizations around the world, to be able to provide a basis for further processing, for example. This work aims at helping a company with mapping of corporate industries with the help of keywords from companies’ websites. We will do this with machine learning. LÄS MER