Sökning: "scikit-learn"

Visar resultat 1 - 5 av 27 uppsatser innehållade ordet scikit-learn.

  1. 1. Classification of Cable Shoe Presses on an Embedded System Using a Neural Network Implemented by Hand

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Charlotta Nordlund; [2023]
    Nyckelord :;

    Sammanfattning : Pressing cables with cable shoes currently involves the use of high pressure to ensure successful crimping. However, this approach lacks the ability to detect when the pressing has been completed. Elpress intends to develop a handheld tool that can classify cables in real-time and stop the pressing before unnecessary energy is lost. LÄS MER

  3. 2. User authentication through behavioral biometrics using multi-class classification algorithms : A comprehensive study of machine learning algorithms for keystroke and mouse dynamics

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

    Författare :Emil Lantz; [2023]
    Nyckelord :Behavioral biometrics; keystroke dynamics; mouse dynamics; machine learning; neural networks; decision trees.; Beteendemässig biometri; maskininlärning; neurala nätverk; beslutsträd.;

    Sammanfattning : User authentication is vital in a secure system. Authentication is achieved through something a genuine user knows, has, or is. The latter is called biometrics, commonly attributed with fingerprint and face modalities. It is also possible to identify a user based on their behavior, called behavioral biometrics. LÄS MER

  4. 3. Counterfeit product grouping - a cluster ensemble approach

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Jency Raj; Ramu Satheesh; [2023]
    Nyckelord :Machine Learning; Deeplearning; Image analysis; Data science;

    Sammanfattning : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. LÄS MER

  5. 4. Comparative analysis for filtering toxic messages using machine learning models

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Mats-Hjalmar Murman; Jacob Lundin; [2022]
    Nyckelord :Machine learning; Regression; Classifier; Toxicity filter; API; Tensorflow; Scikit-learn; maskininlärning; regression; klassifiering; olämplighetsfilter; API; Tensorflow; Scikit-learn;

    Sammanfattning : Online communication has become prevalent within today’s society. The issue with such platforms is that people are allowed to express what they want without repercussion. Consequently, toxicity on these platforms becomes common. One approach to limit such inappropriate messages could be using a filtering method. LÄS MER

  7. 5. Comparative Study of tools for Statistical Learning : Comparing the performance of data science languages and frameworks

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Alexander Westman; Adam Henriksson; [2022]
    Nyckelord :;

    Sammanfattning : Statistical learning is a sub-field of computer science that studies algorithms which try to solve the statistical inference problem of finding a predictive function based on data. This is used in fields such as finance, computer vision, and bioinformatics. LÄS MER