Results: Comparing two regression machine learning models [Random Forest (RF) and XGBoost], we found that facial emotional expressions were promising indicators of stress scores, with model fit being ...

It trains an XGBoost regression model on a dataset of eye coordinates mapped to seat positions, enabling the system to predict seat distance and height adjustments for optimal comfort and safety.

including support vector machine (SVM), logistic regression (LR), extreme gradient boosting (XGBoost), linear discriminant analysis (LDA), random forest (RF) and decision tree (DT). For each region ...

Automated drug repurposing pipeline for rare diseases – using Jupyter Notebook, Docker-compose, Flask, Monarch API, DGIdb API, RDkit, Node2vec, XGboost and Torch-geometric. The project analyzes ...