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 ...
Abstract: This study proposes an intelligent classification method of tobacco colour based on random forest algorithm. By collecting six grades of tobacco samples from 87 varieties of Yunnan Yuxi ...
AI-powered Resume Screener using Scikit-learn, featuring text preprocessing, TF-IDF vectorization, and ML models (Logistic Regression, SVM, Random Forest) to classify and rank resumes for automated ...
Researchers at the University of Hawaiʻi at Mānoa are using artificial intelligence and machine learning (AI/ML) to better understand what improves outcomes for individuals receiving treatment for ...
Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
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, ...
Abstract: This study evaluates the performance of using machine learning models; J48 and Random Forest to classify bananas quality. The existing methods of visual inspection are qualitative and take ...
ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results