Sökning: "k-nn"

Visar resultat 1 - 5 av 44 uppsatser innehållade ordet k-nn.

  1. 1. Resource Usage Prediction for Parameter Sweeps with Biochemical System Simulations

    Master-uppsats, Uppsala universitet/Tillämpad beräkningsvetenskap

    Författare :Minjia Zhou; [2024]
    Nyckelord :;

    Sammanfattning : Exploring the behavior of biochemical systems when subjected to certain internal and external changes is fascinating, and these variations can be investigated through computational simulations. However, the computational cost of simulations is often quite high, necessitating an understanding of the computational requirements and resource utilization of these simulations. LÄS MER

  3. 2. Toward an application of machine learning for predicting foreign trade in services – a pilot study for Statistics Sweden

    Master-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Tea Unnebäck; [2023]
    Nyckelord :foreign trade in services; sampling; sampling frame; statistics; machine learning; random forest; predicting; extreme gradient boosting; k nearest neighbors; k-nn; official statistics; statistics sweden;

    Sammanfattning : The objective of this thesis is to investigate the possibility of using machine learn- ing at Statistics Sweden within the Foreign Trade in Services (FTS) statistic, to predict the likelihood of a unit to conduct foreign trade in services. The FTS survey is a sample survey, for which there is no natural frame to sample from. LÄS MER

  4. 3. Reusage classification of damaged Paper Cores using Supervised Machine Learning

    M1-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Max Elofsson; Victor Larsson; [2023]
    Nyckelord :Machine Learning; Supervised Learning; classification; 3D sensor; TriSpector1008; SICK; paper core; paper mill; KNN; Support Vector Machine; Decision Trees; Random Forest; Maskininlärning; klassificering; papperskärna; pappersbruk;

    Sammanfattning : This paper consists of a project exploring the possibility to assess paper code reusability by measuring chuck damages utilizing a 3D sensor and usingMachine Learning to classify reusage. The paper cores are part of a rolling/unrolling system at a paper mill whereas a chuck is used to slow and eventually stop the revolving paper core, which creates damages that at a certain point is too grave for reuse. LÄS MER

  5. 4. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Alexander Wirdemo; [2023]
    Nyckelord :Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

    Sammanfattning : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. LÄS MER

  7. 5. Using Imitation Learning for Human Motion Control in a Virtual Simulation

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskap

    Författare :Christoffer Akrin; [2022]
    Nyckelord :Imitation Learning; Behavioral Cloning; k-NN Regressor; Test Automation; Manual Testing; Virtual Simulation;

    Sammanfattning : Test Automation is becoming a more vital part of the software development cycle, as it aims to lower the cost of testing and allow for higher test frequency. However, automating manual tests can be difficult as they tend to require complex human interaction. LÄS MER