Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Abstract: Accurate crowd flow forecasting is crucial for effective crowd management and public safety in built environments. However, existing studies often overlook the importance of spatial ...
This repository contains the code and documentation for a project that focuses on predicting stock market prices using LSTM models and optimizing a portfolio based on these predictions. Objective: ...
In this work we present two main contributions: the first one is a Python implementation of the discrete approximation of the Laplace-Beltrami operator (LBO) (Belkin et al., 2008) allowing us to solve ...
🛠 Fit hyperelastic and Mullins effect material models to experimental data with HyperFit, a versatile Python library for robust computational mechanics.
Abstract: Cardiovascular disease remains one of the leading causes of death worldwide, necessitating the development of efficient diagnostic tools. This study presents a machine learning framework for ...
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