A neural network autocoder for the Survey of Occupational Injuries and Illnesses.
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Updated
Mar 25, 2023 - Python
A neural network autocoder for the Survey of Occupational Injuries and Illnesses.
Safety concept for Global Health Engineering
A reproducible sample and code to simulate the results from Borg et al 2025 Urban Climate.
🛡️ A comprehensive web application built with Next.js for conducting systematic risk evaluations and root cause analysis. Features multi-step forms for project data collection, potential hazard assessment, immediate and basic cause identification, and corrective action planning.
ImplementaciĂłn de un sistema automatizado que permita la identificaciĂłn de riesgos laborales y la gestiĂłn eficiente de PGSST en conformidad con la NTS-009/23.
Final project in Safety Management: analytics and predictive modeling for occupational incidents. Includes EDA, logistic regression, Poisson/Negative Binomial with overdispersion checks, ROC/AUC, and prediction exercises.
A simulation-based stochastic contact network to assess the cumulative incidence of COVID-19 in workplaces.
Compliance strategies application to test workers airborne exposures with the Occupational Exposure Limit (OEL) on R
The repository focuses on building an industrial safety solutions website aimed at reducing occupational accidents and offering safety audits to different companies.
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