IEEE

Applying Random Forests for Accurate Classification of Lung Cancer Stages from CT Scans

Abstract: Early and precise diagnosis is vital for improving patient outcomes in the fight against lung cancer, which is still the top cancer killer globally. This study introduces a method for ...
IEEE

Comparison of Support Vector Machine (SVM) and Random Forest Classifier Algorithms in the Classification of Acute Respiratory Infection (ARI) Disease

Abstract: The increasing number of Acute Respiratory Infection (ARI) cases in Jabodetabek, averaging 200 thousand per month, is linked to rising air pollution levels in Jakarta. This study compares ...
GitHub

A minimal, secure Python interpreter written in Rust for use by AI.

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
International Union for Conservation of Nature

From Planning to Action: Forest Landscape Restoration Implementation Momentum Builds Across Partner Countries

Madagascar, Uganda, and Peru have begun on-the-ground implementation of the FLR Hub initiative, marking a pivotal shift from planning to action in the global effort to restore degraded forest ...
GitHub

python-random-forest

A data-driven clinical decision support tool demonstrating the end-to-end deployment of a machine learning pipeline using Python, PyCaret, and Streamlit.