Essays about: "Spline Interpolation"

Showing result 1 - 5 of 20 essays containing the words Spline Interpolation.

  1. 1. 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

  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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Adam Andersson; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from KTH/Matematik (Avd.)

    Author : Andreas Möller; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Linköpings universitet/Institutionen för datavetenskap

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

    Abstract : 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. READ MORE

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

    University essay from Linköpings universitet/Datorseende

    Author : Hannes Freij; [2021]
    Keywords : ;

    Abstract : 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. READ MORE