Sökning: "träna fysik"

Visar resultat 1 - 5 av 28 uppsatser innehållade orden träna fysik.

  1. 1. Machine Learning model applied to Reactor Dynamics

    Master-uppsats, KTH/Fysik

    Författare :Dionysios Dimitrios Nikitopoulos; [2023]
    Nyckelord :Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

    Sammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER

  3. 2. Volymbestämning av flishögar med deep Learning

    Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Helena Westerlund; [2023]
    Nyckelord :;

    Sammanfattning : Flis är ett viktigt material för industrier för att tillverka massaprodukter och värme och det transporteras mellan sågverken och mottagande industrier med lastbil. Traditionellt har manuella bedömningar av flisvolymen på sågverksplanen varit tidskrävande och ineffektiva men tekniken inom maskininlärning, särskilt deep learning (DL) kan automatisera volymberäkningar genom användning av tekniker som convolutional neural network (CNN). LÄS MER

  4. 3. Improving proton therapy planning with photon-counting spectral computed tomography

    Master-uppsats, KTH/Fysik

    Författare :Karin Larsson; [2023]
    Nyckelord :Proton therapy; Medical imaging; Computed Tomography; Protonterapi; Medicinsk avbildning; Datortomografi;

    Sammanfattning : Proton radiation therapy is an alternative to conventional photon radiation therapy, which accounts for the majority of radiation treatments today. The rationale for using protons in radiation therapy lies in their dose deposition properties; photons deposit a radiation dose inversely proportional to the energy, and therefore tissue depth, while protons exhibit a sharp Bragg peak when traversing matter. LÄS MER

  5. 4. Segmentation of x-ray images using deep learning trained on synthetic data

    Master-uppsats, KTH/Fysik

    Författare :Marcus Larsson; [2023]
    Nyckelord :Radiography; Deep Learning; Synthetic Data; Segmentation; Röntgen; Djupinlärning; Syntetisk Data; Segmentering;

    Sammanfattning : Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration of Artificial Intelligence (AI) holds promise in enhancing image quality and assisting radiologists in their diagnostic processes. LÄS MER

  7. 5. Investigating Relations between Regularization and Weight Initialization in Artificial Neural Networks

    Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Rasmus Sjöö; [2022]
    Nyckelord :Artificial Neural Networks; L1 Regularization; L2 Regularization; Loss Function; Maximum Likelihood; Regularization Strength Synthetic Data Generation; Weight Initialization; Physics and Astronomy;

    Sammanfattning : L2 regularization is a common method used to prevent overtraining in artificial neural networks. However, an issue with this method is that the regularization strength has to be properly adjusted for it to work as intended. This value is usually found by trial and error which can take some time, especially for larger networks. LÄS MER