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Visar resultat 1 - 5 av 47 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Emphysema Classification via Deep Learning

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Olov Molin; [2023]
    Nyckelord :Deep learning; emphysema; CNN;

    Sammanfattning : Emphysema is an incurable lung airway disease and a hallmark of Chronic Obstructive Pulmonary Disease (COPD). In recent decades, Computed Tomography (CT) has been used as a powerful tool for the detection and quantification of different diseases, including emphysema. The use of CT comes with a potential risk: ionizing radiation. LÄS MER

  3. 2. Cybersecurity Ontology - The relationship between vulnerabilities, standards, legal and regulatory requirements,

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

    Författare :Olov Wicklund Lindroth; [2022]
    Nyckelord :Vulnerabilities; Standards; Legal and Regulatory Requirements; Compliance; Semantic Mapping; Ontology;

    Sammanfattning : Since information technology has become a central part of businesses and organizations, the move to the cyber domain has benefitted them and endangered them with new threats through vulnerabilities. To minimize risks and prevent and alleviate cyber-attacks, using standards is common to ensure an organization's cybersecurity. LÄS MER

  4. 3. Short Term Stock Price Prediction Using Machine Learning

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

    Författare :Olov Rahm; Alexander Wikström; [2022]
    Nyckelord :Machine Learning; Long Short-Term Memory; Recurrent Neural Network; Stock Price Prediction; NASDAQ;

    Sammanfattning : This report assesses different machine learning models’accuracies to predict whether a stock will go up or down invalue in a short term. The models that is used is linear regression,LSTM and Elman RNN. These models was trained on historicalprice data from the Nasdaq Stock Exchange. LÄS MER

  5. 4. Compare Accuracy of Alternative Methods for Sound Classification on Environmental Sounds of Similar Characteristics

    Master-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Olov Rudberg; [2022]
    Nyckelord :Machine Learning; Algorithms; Neural Networks; Computer Vision; Image Recognition; Environmental Sound Classification; Data Augmentation;

    Sammanfattning : Artificial neural networks have in the last decade been a vital tool in image recognition, signal processing and speech recognition. Because of these networks' ability to be highly flexible, they suit a vast amount of different data. This flexible attribute is very sought for within the field of environmental sound classification. LÄS MER

  7. 5. Prevention Without Intervention : A Quantitative Study of Office Workers

    Kandidat-uppsats, Gymnastik- och idrottshögskolan, GIH/Institutionen för idrotts- och hälsovetenskap

    Författare :Kaspar Johansson; Olov Andrén; [2020]
    Nyckelord :;

    Sammanfattning : .... LÄS MER