Sökning: "Spline Interpolation"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden Spline Interpolation.

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

    Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknik

    Författare :Frida Hermansson; [2023]
    Nyckelord :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;

    Sammanfattning : 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). LÄS MER

  3. 2. Compact Digital Track Maps: Enhancing Train Traveller Information at the Crossing of Accuracy and Availability : A comparative analysis of algorithms for generating compact representations of railway tracks

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

    Författare :Adam Andersson; [2023]
    Nyckelord :Train positioning; Digital track map; Digital map generation; Position measurement; Global navigation satellite system; Cartography; Tågpositionering; Digitala spårkartor; Generering av digitala kartor; Positionsmätning; Satellitnavigation; Kartograf;

    Sammanfattning : Trains are constrained to the railway tracks they operate on. This can be leveraged for absolute train positioning, where a train’s position can be mapped onto a digital track map (DTM). Extensive research has been dedicated to enhancing the accuracy of DTMs. LÄS MER

  4. 3. Zero Coupon Yield Curve Construction Methods in the European Markets

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Andreas Möller; [2022]
    Nyckelord :Zero coupon; Yield curve construction; Forward monotone convex spline; Cubic spline; Nelson Siegel; Nelson Siegel Svensson; Hedge; Interpolation; Parameterization; Evaluation; Principal component; Nollkupong; Yieldkurva; Forward monotone convex spline; Kubisk spline; Nelson Siegel; Nelson Siegel Svensson; Interpolering; Parameterisering; Utvärdering; Principalkomponent; Hedge;

    Sammanfattning : In this study, four frequently used yield curve construction methods are evaulated on a set of metrics with the aim of determining which method is the most suitable for estimating yield curves from European zero rates. The included curve construction methods are Nelson-Siegel, Nelson-Siegel-Svensson, cubic spline interpolation and forward monotone convex spline interpolation. LÄS MER

  5. 4. Combining scientific computing and machine learning techniques to model longitudinal outcomes in clinical trials.

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Harshavardhan Subramanian; [2021]
    Nyckelord :Bootstrap sampling; Cubic spline interpolation; Sparse regression; SINDy; Bayesian inference; Mechanistic Modeling; Scientific computing;

    Sammanfattning : Scientific machine learning (SciML) is a new branch of AI research at the edge of scientific computing (Sci) and machine learning (ML). It deals with efficient amalgamation of data-driven algorithms along with scientific computing to discover the dynamics of the time-evolving process. LÄS MER

  7. 5. Hyperspectral Image Registration and Construction From Irregularly Sampled Data

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Hannes Freij; [2021]
    Nyckelord :;

    Sammanfattning : Hyperspectral imaging based on the use of an exponentially variable filter gives the possibility to construct a lightweight hyperspectral sensor. The exponentially variable filter captures the whole spectral range in each image where each column captures a different wavelength. LÄS MER