From Florida pythons to feral hogs in farm country, paying hunters to remove invasive animals is changing the politics of ...

To develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.

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

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

Funding mechanisms impact the cost effectiveness of the science conducted, as extramural NIH grants to universities excel at producing papers and citations, while intramural NIH hiring more ...

Abstract: This study explores the use of Random Forest, a versatile machine learning algorithm, for predicting wine quality. By creating multiple decision trees and combining their predictions, Random ...

EV Sales Prediction in India using Machine Learning. Forecasts electric vehicle sales across Indian states with interactive visualizations and a modern web UI.

Abstract: Early and accurate detection of eye diseases is essential for preventing vision loss. This paper proposes a hybrid model that combines ResNet50 for feature extraction and Random Forest (RF) ...