Sökning: "Bagging"

Visar resultat 21 - 25 av 35 uppsatser innehållade ordet Bagging.

  1. 21. Evaluation of Adaptive random forest algorithm for classification of evolving data stream

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

    Författare :Ayham Alkazaz; Marwa Saado Kharouki; [2020]
    Nyckelord :;

    Sammanfattning :  In the era of big data, online machine learning algorithms have gained more and more traction from both academia and industry. In multiple scenarios decisions and predictions has to be made in near real-time as data is observed from continuously evolving data streams. LÄS MER

  3. 22. An IoT Solution for Urban Noise Identification in Smart Cities : Noise Measurement and Classification

    Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Författare :Yasser Alsouda; [2019]
    Nyckelord :urban noise; sound pressure level SPL ; internet of things IoT ; machine learning; support vector machine SVM ; k-nearest neighbors KNN ; bootstrap aggregating Bagging ; random forest; mel-frequency cepstral coeffi-cients MFCC ;

    Sammanfattning : Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant environmental problem, and the increasing level of noise has become a critical problem in some cities. Fortunately, noise pollution can be mitigated by better planning of urban areas or controlled by administrative regulations. LÄS MER

  4. 23. REAL-TIME PREDICTION OF SHIMS DIMENSIONS IN POWER TRANSFER UNITS USING MACHINE LEARNING

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Daniel Jansson; Rasmus Blomstrand; [2019]
    Nyckelord :MATLAB; Machine Learning; Smart Manufacturing; Classification; Regression; Power Transfer Units; Industry 4.0; Assembly Line; Support Vector Machines; Artificial Neural Network; Partial Least Squares Regression; Decision Tree; Bagging; Bagged Decision Trees; Support Vector Regression Machines; SVR; SVM; ANN; PTU; DT; Bagged DTs;

    Sammanfattning : .... LÄS MER

  5. 24. Artificial intelligence to model bedrock depth uncertainty

    Master-uppsats, KTH/Jord- och bergmekanik

    Författare :Beatriz Machado; [2019]
    Nyckelord :Machine learning; Artificial intelligence; Kriging; prediction; algorithm.;

    Sammanfattning : The estimation of bedrock level for soil and rock engineering is a challenge associated to many uncertainties. Nowadays, this estimation is performed by geotechnical or geophysics investigations. These methods are expensive techniques, that normally are not fully used because of limited budget. LÄS MER

  7. 25. Utveckling av ramverk för FAB – Fully Automatic Bagging : Ett produktutvecklingsprojekt

    Kandidat-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Johan Thorn; [2019]
    Nyckelord :Konstruktion; Hållfasthet; Ramverk; CAD; Beräkning; FEM; DFMA; Materialteknik; Maskinteknik;

    Sammanfattning : Denna rapport behandlar ett examensarbete som gjorts på Goodtech Solutions AB i Karlstad. Examensarbetet är ett avslut på Högskoleingenjörsprogrammet i maskinteknik vid Karlstads universitet. LÄS MER