Sökning: "nearest neighbour method"

Visar resultat 1 - 5 av 34 uppsatser innehållade orden nearest neighbour method.

  1. 1. Detecting Metro Service Disruptions and Predicting their Spillover Effects throughout the Network using GTFS and Large-Scale Vehicle Location Data

    Master-uppsats, KTH/Transportplanering

    Författare :WeiZhi Michelle Teo; [2023]
    Nyckelord :;

    Sammanfattning : One of the top factors that influence commuters’ satisfaction level with public transport is the punctuality of the service. Commuters rely on public transport to get them from their origin to destination on time and any form of delay will incur additional cost to both the commuters as well as the public transport operators. LÄS MER

  3. 2. A Comparative Study of Machine Learning Algorithms for Angular Position Estimation in Assembly Tools

    Master-uppsats, KTH/Matematisk statistik

    Författare :Henrik Fagerlund; [2023]
    Nyckelord :applied mathematics; circular fully convolutional network; nearest neighbour method; power tools; threaded fasteners; neural network; machine learning; convolution; tillämpad matematik; cirkulärt faltningsnätverk; närmaste granne-metod; elverktyg; skruvförband; neuralt nätverk; maskininlärning; faltning;

    Sammanfattning : The threaded fastener is by far the most common method for securing components together and plays a significant role in determining the quality of a product. Atlas Copco offers industrial tools for tightening these fasteners, which are today suffering from errors in the applied torque. LÄS MER

  4. 3. Topologica linteractions in a multi-layered flocking system

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

    Författare :Malin Liedholm; [2023]
    Nyckelord :Flock simulation; Topological interaction; Multi-layered flocking system; knearest neighbour; Boids; Unity3D; Flocksimulering; Topologisk interaktion; Flerskiktigt flockningssystem; knärmaste granne; Boids; Unity3D;

    Sammanfattning : With the multi-layered flocking system it is possible to simulate flocks that contain different types of agents that can be of various different sizes (variations in bounding radius and height). In the original implementation, the multi-layered flocking system uses a metric distance to find the nearest-neighbours of agents. LÄS MER

  5. 4. A deep learning based anomaly detection pipeline for battery fleets

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

    Författare :Nabakumar Singh Khongbantabam; [2021]
    Nyckelord :Forklift batteries; Battery sensors; Data pipeline; Predictive maintenance; Anomaly detection; Deep learning; Battery failure prediction; Time-series; Variational autoencoder; Long short-term memory; LSTM; Gated recurrent unit; GRU; Isolation nearest neighbor; iNNE; Isolation forest; iForest; kth nearest neighbor; kNN.; Gaffeltruckbatterier; Batterisensorer; Datapipeline; Prediktivt underhåll; Avvikelsedetektering; Deep learning; Batterifelsprediktion; Tidsserier; Variationsautokodare; Långt korttidsminne; LSTM; Gated recurrent unit; GRU; Isolation närmaste granne; iNNE; Isolation skog; iForest; kth närmaste granne; kNN.;

    Sammanfattning : This thesis proposes a deep learning anomaly detection pipeline to detect possible anomalies during the operation of a fleet of batteries and presents its development and evaluation. The pipeline employs sensors that connect to each battery in the fleet to remotely collect real-time measurements of their operating characteristics, such as voltage, current, and temperature. LÄS MER

  7. 5. Predicting Myocardial Infarction using Textual Prehospital Data and Machine Learning

    Magister-uppsats, Luleå tekniska universitet/Datavetenskap

    Författare :Yvette Jane Van der Haas; [2021]
    Nyckelord :Healthcare; NLP; Data Science; Machine Learning;

    Sammanfattning : A major healthcare problem is the overcrowding of hospitals and emergency departments which leads to negative patient outcomes and increased costs. In a previous study, performed by Leiden University Medical Centre, a new and innovative prehospital triage method was developed where two nurse paramedics could consult a cardiologist for patients with cardiac symptoms, via a live connection on a digital triage platform. LÄS MER