Sökning: "non-linear"

Visar resultat 1 - 5 av 806 uppsatser innehållade ordet non-linear.

  1. 1. Test Equipment for the LUCAS Chest Compression System: Incorporating Biomechanical Insights for Future Design Enhancements

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Ester Pörtfors; Malin Svärdling; [2024]
    Nyckelord :Mechanical CPR; Cardiopulmonary Resuscitation; LUCAS Chest Compression System; Test Equipment; Chest Biomechanics; Chest Stiffness; Technology and Engineering;

    Sammanfattning : The LUCAS Chest Compression System is a market leading mechanical cardiopulmonary resuscitation device, assisting medical professionals worldwide when treating patients with sudden cardiac arrest. The objective of this master thesis project was to develop a new, adjustable test equipment for the LUCAS device, allowing for tests on varying chest heights and stiffness levels. LÄS MER

  3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

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

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

  4. 3. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Markus Jonsson; [2024]
    Nyckelord :Self-supervised learning; Representation learning; Computer vision;

    Sammanfattning : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. LÄS MER

  5. 4. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

    Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Författare :Alireza Momtaz; Mohammad Befkin; [2024]
    Nyckelord :Genetic Algorithm; Neural Network; Forecasting; Heat Use;

    Sammanfattning : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). LÄS MER

  7. 5. Ensuring safe docking maneuvers on floating platform using Nonlinear Model Predictive Control (NMPC)

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

    Författare :Federico Gatti; [2024]
    Nyckelord :Robotics; Space Engineering; Docking Maneuvers; Floating Platforms; Nonlinear MPC; MPC; Barrier function; PWM;

    Sammanfattning : Docking maneuvers are a relevant part of the modern space mission, requiring precision and safety to ensure the success of the overall mission. This thesis proposes using a non-linear Model Predictive Control (MPC) as a controller with various constraints to ensure safe docking maneuvers for a satellite. LÄS MER