IEEE

Reliable Authentication of DRAM PUFs by Leveraging Random Forests in Machine Learning

The growing demand for smaller, lighter, and more embedded hardware has made Physical Unclonable Functions (PUFs) a promising solution for authentication in Int ...
Frontiers

Machine learning enhanced acute heart failure phenotype prediction using natural language processing and random forest

Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.
Scientific Research Publishing

Breiman, L. (2001) Random Forests. Machine Learning, 45, 5-32.

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
Game Rant

Lost in Random: The Eternal Die - 8 Best Cards, Ranked

Tristan Jurkovich began his career as a journalist in 2011. His childhood love of video games and writing fuel his passion for archiving this great medium’s history. He dabbles in every genre, but ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
IEEE

Predicting Heart Disease with Random Forest: An In-Depth Analysis of Machine Learning Techniques for Early Detection and Risk Assessment

Abstract: Heart disease is a major health concern, and this study investigates how machine learning, particularly Random Forest (RF), can be used to identify it early and assess risk. We tested ...
Scientific Research Publishing

GeeksforGeeks (2024, February 22). Random Forest Algorithm in Machine Learning. GeeksforGeeks.

ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...