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Showing result 1 - 5 of 38 essays matching the above criteria.

  1. 1. Classifying Previous Covid-19 Infection : Advanced Logistic Regression Approach

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Daniel Westerholm; [2023]
    Keywords : Covid-19; logistic regression; clustering;

    Abstract : The study aimed to developed a logistic model based on antibody proteins, vaccinations and demographic factors that predicts previous infection in Covid-19. The data set comprised of 2750 individuals from eldercare homes in Sweden, with four test dates executed between October of 2021 and August of 2022. READ MORE

  3. 2. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Joakim Nylander Nordström; [2023]
    Keywords : Machine Learning; Deep Learning; Predictive Maintenance; High Pressure Processing;

    Abstract : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. READ MORE

  4. 3. Wind Turbine Recovery Forecasting using Survival Analysis

    University essay from Lunds universitet/Matematisk statistik

    Author : Anton Palets; [2023]
    Keywords : Survival analysis; Recovery Forecast; Wind Turbine; Availability Forecast; AFT model; Aalen s model; Cox regression; Cox Proportional Hazards; Variation Processes; Mathematics and Statistics;

    Abstract : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. READ MORE

  5. 4. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Fredrik Salomon-Sörensen; [2023]
    Keywords : Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

    Abstract : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. READ MORE

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

    University essay from KTH/Fysik

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

    Abstract : 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. READ MORE