IEEE

Water Quality Prediction Using Random Forest Classifier: An Analysis of Chemical Attributes and Their Feature Importance

Abstract: This work focuses on the use of machine learning algorithms to estimate water quality based on several environmental variables including $\boldsymbol{p H}$, Iron, Nitrate, and other ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Civil Beat

Beth Fukumoto: The Important Science Of Hakalau Forest

Beth Fukumoto served three terms in the Hawaiʻi House of Representatives. She was the youngest woman in the U.S. to lead a major party in a legislature, the first elected Republican to switch parties ...
IEEE

Robust Open Circuit Fault Diagnosis Method for Converter Using Automatic Feature Extraction and Random Forests Considering Nonstationary Influence

Abstract: Data-driven methods have shown promising performance in power converter fault diagnosis. However, the existing methods are bothered by the inadequacy of accuracy and robustness, due to the ...