Essays about: "master thesis information extraction"

Showing result 1 - 5 of 36 essays containing the words master thesis information extraction.

  1. 1. Status Mapping of tank to grave management of Low-GWP refrigerants.

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Sandra Parra Gimeno; [2023]
    Keywords : Refrigerant; Blends; Synthetic low-GWP refrigerant; Natural refrigerant; Global Warming Potential GWP ; Tank-to-grave; Interviews.; Köldmedier; Blandning; Globalt uppvärmningspotential GWP ; Låg-GWP köldmedier; Naturligt köldmedier; installation till destruktion; Intervjuer.;

    Abstract : Refrigeration plays a vital role today in various residential, commercial, and industrial processes, requiring refrigerants to facilitate the cooling or heating processes. Over time, refrigerants have undergone significant changes to meet technological, social, environmental, and economic needs. READ MORE

  3. 2. Physiology-Guided Machine Learning for Improved Reliability of Non-Invasive Assessment of Pulmonary Hypertension

    University essay from Linköpings universitet/Avdelningen för medicinsk teknik

    Author : Frida Hermansson; [2023]
    Keywords : Pulmonary Hypertension; pulmonary hypertension; improving; physiological-guided; machine learning; neural networks; NN; artificial neural networks; non-invasive; PH; tricuspid regurgitation; peak tricuspid regurgitation velocity; tricuspid regurgitation velocity; right ventricular systolic pressure; VGG16; Unet; TR-CNN; CNN; pulmonell hypertension; förbättra; fysiologisk-guidning; neurala nätverk; trikuspidal regurgitation; maximal trikuspidal regurgitation; icke-invasivt;

    Abstract : Diagnosing pulmonary hypertension (PH) with right heart catheterization (RHC) is associated with a risk for complications and high expenses, leading to late diagnoses [1]. Transthoracic echocardiography can be used to assess non-invasive indicators for PH such as right ventricular systolic pressure (RVSP), which can be estimated by combining the peak tricuspid regurgitation velocity (TRV) with the estimated right arterial pressure (RAP). READ MORE

  4. 3. Privacy threat analysis and evaluation of Privacy Enhancing Technologies for the integration of 3D Scene Graphs in smart buildings

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

    Author : Alejandra Mugica Trapaga; [2023]
    Keywords : 3DSG; DFD; Hydra; IoT; LINDDUN; PETs; Privacy; Threat modeling.; Technology and Engineering;

    Abstract : The recent advent of 3DSG in the computer vision domain has brought powerful high-level representations of 3D environments. These representations strive to mimic human perception and facilitate the extraction of meaningful insight from visual data. READ MORE

  5. 4. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Luigi Assom; [2023]
    Keywords : animal decision making; unsupervised machine learning; UMAP; autoencoders; classifiers; bioacoustics; combinatory syntax; animal communication;

    Abstract : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. READ MORE

  6. 5. Machine learning for risk ranking of component failure : A comparative study of traditional- and survival machine learning approaches applied to historical data

    University essay from Uppsala universitet/Datalogi

    Author : Fredrik Nilsson; Fanny Fristedt; [2023]
    Keywords : Machine learning; Survival analysis; Trains; Freight trains; Damage prediction; Maskininlärning; överlevnadsanalys; tåg; godståg; Skadeprediktion;

    Abstract : This master thesis investigates the use of machine learning for predicting and assessing the risk of railway vehicle component failures. Data used for failure prediction often comes with limitations due to the complex nature of maintenance or sometimes requires investments for the extraction of information. READ MORE