Sökning: "supervised machine learning"

Visar resultat 21 - 25 av 464 uppsatser innehållade orden supervised machine learning.

  1. 21. Data Driven Model Identification for Remote Electrical Tilt Systems

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Raphaël Ashruf; [2023]
    Nyckelord :;

    Sammanfattning : This thesis explores the use of supervised machine learning for modelling the dynamics of Remote Electrical Tilt (RET) telecom systems. Three methodologies, including linear regressionfor linear dynamics models, Gaussian Process (GP) regression, and Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU) are proposed. LÄS MER

  3. 22. Effectivisation of keywords extraction process : A supervised binary classification approach of scraped words from company websites

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

    Författare :Josef Andersson; Max Fremling; [2023]
    Nyckelord :Machine learning; keyword classification; unbalanced data; word embedding;

    Sammanfattning : In today’s digital era, establishing an online presence and maintaining a well-structured website is vitalfor companies to remain competitive in their respective markets. A crucial aspect of online success liesin strategically selecting the right words to optimize customer engagement and search engine visibility. LÄS MER

  4. 23. Detecting Fraud in Affiliate Marketing: Comparative Analysis of Supervised Machine Learning Algorithms

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Oskar Ahlqvist; [2023]
    Nyckelord :Fraud detection; Machine learning; Random Forest; support vector machine; Logistic Regression; Classification models; Affiliate marketing;

    Sammanfattning : Affiliate marketing has become a rapidly growing part of the digital marketing sector. However, fraud in affiliate marketing raises a serious threat to the trust and financial stability of the involved parties. LÄS MER

  5. 24. 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

  7. 25. Predicting tumour growth-driving interactions from transcriptomic data using machine learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Neuroonkologi och neurodegeneration

    Författare :Mathilda Stigenberg; [2023]
    Nyckelord :cancer; immunology; cell-cell interactions; deep learning; variational autoencoder; supervised variational autoencoder; tumour microenvironment; single-cell RNA sequencing; spatial transcriptomics; breast cancer; machine learning;

    Sammanfattning : The mortality rate is high for cancer patients and treatments are only efficient in a fraction of patients. To be able to cure more patients, new treatments need to be invented. Immunotherapy activates the immune system to fight against cancer and one treatment targets immune checkpoints. LÄS MER