Pulmonology Advisor

New Model Could Predict Risk of Critical Illness in CTD-ILD

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
The New York Times

A Scientific Achievement That’s Totally Random

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can. By Alexander Nazaryan Researchers in Switzerland ...
LinkedIn

Random Forest Algorithm

In this article, you are going to learn the most popular classification algorithm. Which is the random forest algorithm. In machine learning way fo saying the random forest classifier. As a motivation ...
Nature

Integrating random forest-based regression kriging for analyzing spatial variability of rainfall in arid and semi-arid regions

Understanding the spatial variability of precipitation is essential for water resource management and climate adaptation, especially in arid and semi-arid regions with strong spatiotemporal ...
Nature

Simulation and analysis of evapotranspiration from desert grasslands based on a random forest regression model

Grassland ecosystems, as one of the major ecosystems on the Earth’s surface, account for about one-third of the total land area and play an essential role in maintaining the functions and processes of ...
Scientific Research Publishing

Salman, H.A., Kalakech, A. and Steiti, A. (2024) Random Forest Algorithm Overview. Babylonian Journal of Machine Learning, 2024, 69-79.

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
IEEE

A Random Forest Algorithm for PCB SMD Defect Detection

Abstract: A printed circuit board (PCB) surface-mounted devices (SMDs) defect detection algorithm based on random forest (RF) was proposed to detect pin defects, resistor defects, and capacitor ...
IEEE

Load Forecasting Using Random Forest Regression Algorithm in Machine Learning

Abstract: Load forecasting, a crucial aspect of energy management, involves predicting the future electricity demand based on historical data. In the context of monthly time series analysis, this ...
LinkedIn

Random Forest Regression Algorithm

Random Forest is a popular machine learning algorithm that belongs to the supervised learning technique. It can be used for both Classification and Regression problems in ML. It is based on the ...
Frontiers

Toward the Prediction of Multi-Spin State Charges of a Heme Model by Random Forest Regression

The random forest regression (RFR) model was introduced to predict the multiple spin state charges of a heme model, which is important for the molecular dynamic simulation of the spin crossover ...