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134 results for “MATLAB”
MATLAB Code for "Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients"
<p>This MATLAB code is part of the study titled <em>"Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients"</em>, which has been accepted for publication in the <em>Journal of Imaging (MDPI)</em>. The code supports image processing, feature extraction, and deep learning model training (including LSTM and RexNet) to classify pediatric patients as anemic or non-anemic based on palm, conjunctival, and fingernail images. Full study details are available in this paper:</p> <p>Berghout T. Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients. <em>Journal of Imaging</em>. 2024; 10(10):245. <a href="https://doi.org/10.3390/jimaging10100245">https://doi.org/10.3390/jimaging10100245 </a></p> <p>The datsets use in this work are:</p> <p>Asare, J. W., Appiahene, P. & Donkoh, E. (2022). Anemia Detection using Palpable Palm Image Datasets from Ghana. Mendeley Data. https://doi.org/10.17632/ccr8cm22vz.1<br>Asare, J. W., Appiahene, P. & Donkoh, E. (2023). CP-AnemiC (A Conjunctival Pallor) Dataset from Ghana. Mendeley Data. https://doi.org/10.17632/m53vz6b7fx.1<br>Asare, J. W., Appiahene, P. & Donkoh, E. (2020). Detection of Anemia using Colour of the Fingernails Image Datasets from Ghana. Mendeley Data. https://doi.org/10.17632/2xx4j3kjg2.1</p>
MATLAB scripts for reproducing figures in "Atlantic Tropical Cyclones Downscaled from Climate Reanalyses Show Increasing Activity Through the Late 19th and 20th Centuries"
<p>A set of MATLAB scripts that contain the data for all 4 figures of "<strong>Atlantic Tropical Cyclones Downscaled from Climate Reanalyses Show Increasing Activity Through the Late 19<sup>th</sup> and 20<sup>th</sup> Centuries" </strong> and allows the user to plot these data. Please read the very short ReadMe file before using the scripts. </p>
Matlab code and datasets for: Auditory model-based parameter estimation and selection of the most informative experimental conditions
<p>The dataset and the matlab code used for the publication: Auditory model-based parameter estimation and selection of the most informative experimental conditions</p>
Matlab Positive Unlabeled Learning Tools Datasets
<p>Datasets to accompany the "Positive Unlabeled Learning Tools" Matlab repository implementing AlphaMax and DistCurve</p> <p>[](https://www.mathworks.com/matlabcentral/fileexchange/125175-positive-unlabeled-learning-tools)</p> <p>Original datasets from UCI Machine Learning Repository - https://archive.ics.uci.edu</p>
Aircraft Aerosol Data and MATLAB Script for Visualisation on 17/06/22
<p>A dataset containing all data from an ultralight aircraft over several flights between Feb 21 and June 22, including flight log data, MCPC, STAP and OPC data. Also includes a data visualisation script used for the manuscript "Evolution of the planetary boundary layer over Copenhagen investigated using aircraft aerosol measurements and the model DEHM".</p>
Matlab code for " Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in sensory cortex"
<p>Here are the data and code supporting the findings of the paper, 'Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in sensory cortex.'</p>
MATLAB code to simulate the effects of combination of control strategies on the transmission of diphtheria
<p>This research introduced an extensive mathematical model to capture the dynamics of diphtheria transmission. The study examined the interaction of five control measures viz: routine diphtheria vaccination, often administered with tetanus and pertussis vaccines; interventions for symptomatic to isolated treatment transitions; collaborative efforts addressing asymptomatic to home quarantine transitions; surveillance measures for home quarantine to isolated treatment transitions; and vigilance to detect cases in individuals exposed to symptomatic cases. We established the epidemiological viability of the model by proving, among others, its positivity, equilibrium under endemic conditions, equilibrium in the absence of disease, global and local stability and boundedness. Also the sensitivity analysis of the model highlighted the importance of the important variables in influencing disease occurrence and spread. In addition, the control measures significantly impact virus transmission dynamics, and results from simulations demonstrated that combination of these control strategies effectively flattened the curve of diphtheria transmission. These findings provided healthcare professionals and policymakers with valuable insights into crucial measures for eradicating diphtheria from the population.</p>
The dataset, the Python and Matlab scripts for the parametrization of surface-layer turbulent fluxes
<p>It contains calculations and comparisons of stability parameters, the momentum transfer coefficients and the heat transfer coefficients for different near-surface turbulence parameterization schemes.</p>
Introduction of an Oral Live Human Rotavirus (Rotarix) Vaccine in Matlab
ClinicalTrials.gov study NCT00737503. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Comparative analysis of angiogenesis models: MATLAB data files
Open the record for dataset details and reuse information.
The role of boundary length and adjacent patch contrast in guppy mate choice: Dataset, Matlab and R codes
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MATLAB code to simulate the effects of combination of control strategies on the transmission of diphtheria
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SIMToolbox: A MATLAB toolbox for structured illumination fluorescence microscopy
<p>SIMToolbox is an open-source, modular set of functions for MATLAB equipped with a user-friendly graphical interface and designed for processing two-dimensional and three-dimen- sional data acquired by structured illumination microscopy (SIM). Both optical sectioning and super-resolution applications are supported. The software is also capable of maximum a posteriori probability image estimation (MAP-SIM), an alternative method for reconstruction of structured il- lumination images. MAP-SIM can potentially reduce reconstruction artifacts, which commonly occur due to refractive index mismatch within the sample and to imperfections in the illumination.</p>
Matlab Algorithm for Systematic Vertical Separation Measurements of Tectonic Fault Scarps
<p>We have studied the topography along the Lost River Fault in Idaho (USA) and in particular the rupture zone generated by the strong 1983 Borah Peak earthquake (M<sub>w</sub> 6.9) almost 40 years after its occurrence. Our first reason for acquiring these data was to systematically measure vertical separation (VS) along the fault.<br> To do this we have developed and implemented a scarp analysis algorithm in MATLAB (www.mathworks.com) which enables users to measure the vertical separation from a topographic profile. The code constructs a topographic profile along the preferred trend (generally perpendicular to the fault trace) and projects the best-fit lines to each of the hanging wall and footwall flat to the fault location. The vector difference between the intersection of these lines with a vertical plane at the fault location is the vertical separation. Please see the code guide for additional detail. </p>
MATLAB code related to the thermal model of hyperthermia treatment
<p>The code attached here is used to perform the analyses on hyperthermia treatment of brain tumours that are described in the article "The interplay of blood flow and temperature in regional hyperthermia: A mathematical approach" by Jesús J. Bosque, Gabriel F. Calvo, Víctor M. Pérez-García and María Cruz Navarro. For more information turn to the article or use the readme file provided with the code.</p>
Constitutive model of erythrocyte membranes with distributions of spectrin orientations and lengths - pipette aspiration data and MatLab Code
<p>The speadsheet contains the original micropipette aspiration measurement of red blood cell membrane. There are five days of experiment each on its own tab, the first three of which are reported in the manuscript. The MatLab code used to generate theoretical predictions based on our new microstructurebased constitutive model are also included. This is the code used to generate least squared regression values for the material coefficients.</p>
Open Turbulent Image Set (OTIS) Grayscale-Matlab Version
<p>This the grayscale version of the OTIS dataset saved in Matlab format</p>
Open Turbulent Image Set (OTIS) Color-Matlab Version
<p>This the colored version of the OTIS dataset saved in Matlab format</p>
Raw data and Matlab analyzing code
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Matlab plots
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.