Vulnerability Lookup - Fast vulnerability lookup correlation from different sources, independent vulnerability ID and easily manage coordinated vulnerability disclosure (CVD).
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Updated
Jul 10, 2024 - HTML
Vulnerability Lookup - Fast vulnerability lookup correlation from different sources, independent vulnerability ID and easily manage coordinated vulnerability disclosure (CVD).
This repo contains the R microshades package, which contains a color blind accessible color palette with 30 unique colors and functions for applying these colors to microbiome data.
Compute centroidal Voronoi tessellations in 2D and 3D using the GPU.
Vultron is a protocol for Coordinated Vulnerability Disclosure
Content for the CERT Guide to Coordinated Vulnerability Disclosure
Heartbeat Sound Segmentation and Classification. Implemented ways to clean noisy hearbeat sounds in MATLAB and later trained ML models to classify the hearbeat sounds into diseased and normal categories
This repo includes the pipeline used to link and curate CVD PREVENT audit data to HES and death registration data into two tables. These are subsequently sent to OHID for analysis and publication.
image segmentation for SVD graphene SEM images
Register `cividis` with matplotlib, a color map optimized for color vision deficiency, as published in Nuñez, et al. (2018), PLoS ONE 13(7): e0199239 .
A package for running experiments with VAEs for ECG data, including a supervised head designed for survival analysis of cardiovascular disease events.
Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study.
Arduino sketch for wearable prototype to assist with colour identification.
The archive for data, scripts, and outputs for the paper "Bacterial and Immunological Mediators linking Caregiving with Metabolic Syndrome".
Testing out pulling the CVD Prevent data out an putting it into the PowerPoint template
Monitoring application for Arduino based wearable prototype to assist with colour identification.
Classification of Cardiovascular Disorders using machine learning, Data Analysis of NHANES dataset and Visualizaiong the results
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