Sökning: "combining classifiers"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden combining classifiers.

  1. 1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Anastasia Sarelli; [2024]
    Nyckelord :Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

    Sammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER

  3. 2. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Abboud Afram; Danial Sarab Fard Sabet; [2023]
    Nyckelord :EMG; SEMG; STFT; CWT; SVM; CNN; GAN; DCGAN; BCE; SGD; deep learning; machine learning; muscle fatigue; DCGAN; spectrogram; CNN models; transfers learning; data augmentation; feature extraction;

    Sammanfattning : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. LÄS MER

  4. 3. Comparing Ensemble Methods with Individual Classifiers in Machine Learning for Diabetes Detection

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Samuel Härner; David Ekman; [2022]
    Nyckelord :;

    Sammanfattning : Diabetes is a common disease that is characterized by several health markers. These markers can be used in machine learning to help predict the presence of diabetes in an individual. LÄS MER

  5. 4. Machine Learning Driven Simulation in the Automotive Industry

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Aravind Ram Seshadri; [2022]
    Nyckelord :Machine learning in simulation; simulation-based machine learning; concept development; machine learning; data-driven design; data-driven simulation; technology analysis; capability analysis; technology study; design exploitation; classification algorithms; logistic regression;

    Sammanfattning : The current thesis investigates data-driven simulation decision-making with field-quality consumer data. This is accomplished by outlining the benefits and uses of combining machine learning and simulation in the literature and by locating barriers to the use of machine learning (ML) in the simulation subsystems at a case study organization. LÄS MER

  7. 5. Fault Clustering With Unsupervised Learning Using a Modified Gaussian Mixture Model and Expectation Maximization

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Kevin Lindström; [2021]
    Nyckelord :;

    Sammanfattning : When a fault is detected in the engine, the check engine light will come on. After that, it is often up to the mechanic to diagnose the engine fault. Manual fault classification by a mechanic can be time-consuming and expensive. LÄS MER