Sökning: "Julia Congreve Lifh"

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  1. 1. Anomaly Detection in Riding Behaviours : Using Unsupervised Machine Learning Methods on Time Series Data from Micromobility Services

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Indra Hansson; Julia Congreve Lifh; [2022]
    Nyckelord :Unsupervised Machine Learning; Sensor Data; Anomaly Detection; Micromobility; Övervakad Maskininlärning; Sensordata; Anomalidetektering; Mikromobilitet;

    Sammanfattning : The global micromobility market is a fast growing market valued at USD 40.19 Billion in 2020. As the market grows, it is of great importance for companies to gain market shares in order to stay competitive and be the first choice within micromobility services. This can be achieved by, e. LÄS MER