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8 results for “kernel density estimator”
End-condition for solution small angle X-ray scattering measurements by kernel density estimation
<p>The set of python scripts and some datasets for estimating the minimum X-ray exposure time for X-ray solution scattering experiments using statistical and mathematical approaches.</p> <p>We apply a statistical inequality to estimate the kernel density estimation (KDE) method’s error to determine the minimum X-ray exposure time.</p> <p>Please refer to the following article, </p> <p>End-condition for solution small angle X-ray scattering measurements by kernel density estimation<br> Science and Technology of Advanced Materials: Methods, Volume 2 Issue 1, pages 426-434 (2022)<br> DOI: 10.1080/27660400.2022.2140021<br> <a href="https://doi.org/10.1080/27660400.2022.2140021">https://doi.org/10.1080/27660400.2022.2140021</a></p>
Figure reproduction for "Accelerating small angle scattering experiments on anisotropic samples using kernel density estimation"
<p>These datasets and a Jupyter notebook reproduce figures in <a href="https://www.nature.com/articles/s41598-018-37345-5">a publication by Saito et al in Scientific Reports</a>. The notebook also serves as a demo for kernel density estimation (smoothing) of 2D data using Python. Details are described in the notebook. If you have no idea about ipynb format, please see HTML version with your web browser instead. It contains exactly the same codes and results as ipynb version.</p>
DTM files from wildlife–vehicle collisions using kernel density estimation (KDE)
<p>21 CSV files that contain the Digital Terrain Model (DTM) from wildlife–vehicle collisions (WVC) hotspots using kernel density estimation (KDE) in Spain between 2016 and 2021. Data source of each WVC record is the Spanish General Directorate of Traffic (DGT).</p> <p>The context is the Final Master's Degree Project 'Analysis and Predictive Modelling of Wildlife–Vehicle Collision on Interurban Roads in Spain' (Data Science Master’s Degree of Universitat Oberta de Catalunya - UOC).</p> <p>This dataset is the output of the KDE analysis and the <a href="https://github.com/alba620/analisis-prediccion-accidentes-trafico-animales">code repository</a> is available on GitHub.</p>
Data from: A spatial kernel density method to estimate diet composition of fish
Open the record for dataset details and reuse information.
Kernel Density Estimation of metal axes from Denmark, England, Wales and the Netherlands
<p>As part of a Master's thesis, Kernel Density Estimations (KDEs) using likelihood cross-validation bandwidth were calculated for metal axes found by private metal detectorists. The data derives from England and Wales (Portable Antiquities Scheme), Denmark (Digitale Metaldetektorfund) and the Netherlands (Portable Antiquities Scheme). Calculations were performed with the 'density' function in R. </p>
Clustering and kernel density estimation for assessment of measurable residual disease by flow cytometry
<p>Flow cytometry raw data and supplementary table S1.</p>
A Unified View of Vibrational Spectroscopy Simulation through Kernel Density Estimations
<p>Please see ref:</p><p>Botella, R.; Kistanov, A., A. <i>J. Phys. Chem. Lett.</i> <strong>2023</strong>, 14, 3691-3697</p>
Data and trained models for "Fourier Ring Correlation and anisotropic kernel density estimation improve deep learning based SMLM reconstruction of microtubules"
<p>Data and trained models for "Fourier Ring Correlation and anisotropic kernel density estimation improve deep learning based SMLM reconstruction of microtubules", https://github.com/CIA-CCTB/FRCnet</p>
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