Sökning: "Icke övervakad maskininlärning"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Icke övervakad maskininlärning.

  1. 1. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

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

    Författare :Christopher Gauffin; [2023]
    Nyckelord :Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

    Sammanfattning : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. LÄS MER

  3. 2. 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

  4. 3. Machine learning for detecting fraud in an API

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

    Författare :Anna Sánchez Espunyes; [2022]
    Nyckelord :Fraud detection; Machine learning; Supervised learning; Sentence-BERT; Web API; Bedrägeriupptäckt; Maskininlärning; Övervakad inlärning; Sentence-BERT; Web API;

    Sammanfattning : An Application Programming Interface (API) provides developers with a high-level framework that abstracts the underlying implementation of services. Using an API reduces the time developers spent on implementation, and it encourages collaboration and innovation from third-party developers. LÄS MER

  5. 4. Developing a supervised machine learning model for an optimised aluminium addition based on historical data analytics, for clean steelmaking

    Master-uppsats, KTH/Materialvetenskap

    Författare :Arun Kumar Thakur; [2022]
    Nyckelord :Clean steelmaking; Data analytics; De-oxidation; Machine learning; Ren ståltillverkning; Dataanalys; Deoxidation; Maskininlärning;

    Sammanfattning : De-oxidation is an important process in clean steelmaking. Al (Aluminium) is mainly used as de-oxidant and controls the final oxygen content and impact the sulphur removal in steel. Adding optimum amount of Al is critical for steel cleanliness and to reduce cost. LÄS MER

  7. 5. Evaluating the effects of data augmentations for specific latent features : Using self-supervised learning

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Markus Ingemarsson; Jacob Henningsson; [2022]
    Nyckelord :Contrastive learning; data augmentations; deep learning; invariant features; machine learning; representation similarity analysis; self-supervised learning; SimCLR; Kontrast inlärning; datamodifieringar; djupinlärning; maskininlärning; SimCLR; självövervakat lärande; oföränderliga egenskaper; representativ likhetsanalys;

    Sammanfattning : Supervised learning requires labeled data which is cumbersome to produce, making it costly and time-consuming. SimCLR is a self-supervising framework that uses data augmentations to learn without labels. This thesis investigates how well cropping and color distorting augmentations work for two datasets, MPI3D and Causal3DIdent. LÄS MER